In the ever-evolving world of digital marketing, where algorithms shift like sand dunes, one tool stands out as a linchpin for small businesses aiming to dominate local search results: the Google Business Profile. Formerly known as Google My Business, this free platform serves as a virtual storefront, influencing everything from map visibility to customer inquiries. For industry insiders, understanding its nuances isn’t just beneficial—it’s essential for crafting strategies that drive foot traffic and conversions in an increasingly competitive arena. At its core, optimizing a Google Business Profile begins with claiming and verifying your listing, a step that ensures accuracy and builds trust with Google’s algorithms. Businesses that meticulously fill out every detail— from precise addresses and hours to high-quality photos—often see a marked uptick in local rankings. According to insights from Duct Tape Marketing, this profile acts as the “secret sauce” for local SEO, integrating seamlessly with Google Maps and search results to position your business in the coveted “local pack” of top three results. Unlocking Visibility Through Consistent Data Management Consistency across the web is another critical factor. NAP (Name, Address, Phone) details must align perfectly with your website and other directories to avoid dilution of your SEO efforts. Recent updates in 2025, as detailed in a guide from Backlinko, emphasize building NAP citations through reputable sources like Yelp and local chambers of commerce, which can amplify your profile’s authority. Moreover, incorporating relevant categories and attributes refines how Google matches your business to user queries. For instance, a coffee shop selecting “coffee shop” as a primary category while adding attributes like “free Wi-Fi” or “outdoor seating” can tailor its appeal, drawing in more targeted traffic. Industry experts note that these tweaks, combined with regular posts about promotions or events, keep the profile dynamic and engaging. Harnessing Reviews and Engagement for Algorithmic Favor Customer reviews form the backbone of credibility on Google Business Profiles. Encouraging satisfied clients to leave detailed feedback not only boosts star ratings but also provides fresh content that signals relevance to Google’s crawlers. A 2025 analysis from Pinmeto highlights how responding promptly to reviews—positive or negative—can improve engagement metrics, potentially elevating your position in local searches. Beyond reviews, leveraging features like Q&A sections allows businesses to preempt common questions, further enriching the profile. For service-based companies, adding booking links or product showcases turns the profile into a conversion funnel, directly impacting revenue. Posts on X from local SEO specialists, such as those emphasizing weekly updates and real photos, underscore the simplicity of maintaining momentum: one user shared how optimizing services listings led to a 30% increase in inquiries for home service businesses. Navigating 2025 Updates and Integration Challenges Looking ahead, Google’s 2025 updates introduce tighter integrations with Local Services Ads and a unified “Google Verified” badge, as reported in WebProNews. These changes prioritize verified, active profiles, penalizing those with outdated information. For insiders, this means auditing profiles quarterly to align with new guidelines, such as mandatory links to Google Business Profiles for ad campaigns. Integration with broader SEO strategies amplifies results. Pairing profile optimization with localized content on your website—think city-specific landing pages—creates a synergistic effect. A recent news piece from Tempesta Media warns contractors that ignoring these shifts could lead to visibility drops, especially with AI-driven search enhancements rolling out. Measuring Impact and Adapting to Future Trends To gauge success, track metrics like views, calls, and direction requests directly from the profile dashboard. Advanced users employ tools like Google Analytics to correlate profile performance with website traffic, revealing patterns that inform adjustments. For example, if photo views spike after uploading user-generated content, it signals a winning tactic. As we move deeper into 2025, emerging trends point to greater emphasis on multimedia and AI personalization. Insights from Google Search Central suggest incorporating videos and 360-degree tours to enhance immersion, while X discussions highlight the benefits of geo-targeted keywords in descriptions. Businesses that treat their Google Business Profile as a living entity, continually refined through data and user feedback, position themselves not just to survive but to thrive in local search dominance. Strategic Case Studies and Long-Term Best Practices Consider the case of a regional bakery chain that, per strategies outlined in SEOSpace, revamped its profiles across multiple locations, resulting in a 40% rise in store visits. By syncing menus, responding to reviews in real-time, and posting weekly specials, they transformed passive listings into active marketing channels. For long-term success, insiders recommend automating review requests via email campaigns and monitoring competitors’ profiles for benchmarking. With Google’s frequent tweaks—tracked in timelines from Sterling Sky—staying informed is key. Ultimately, the Google Business Profile isn’t merely a tool; it’s the cornerstone of a robust local SEO strategy, empowering businesses to connect meaningfully with their communities and outpace rivals in an algorithm-driven world. Subscribe for Updates
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Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude?
LLM optimization is taking shape as a new discipline focused on how brands surface in AI-generated results and what can be measured today.
For decision makers, the challenge is separating signal from noise – identifying the technologies worth tracking and the efforts that lead to tangible outcomes.
The discussion comes down to two core areas – and the timeline and work required to act on them:
Tracking and monitoring your brand’s presence in LLMs.
Improving visibility and performance within them.
Tracking: The foundation of LLM optimization
Just as SEO evolved through better tracking and measurement, LLM optimization will only mature once visibility becomes measurable.
We’re still in a pre-Semrush/Moz/Ahrefs era for LLMs.
Tracking is the foundation of identifying what truly works and building strategies that drive brand growth.
Without it, everyone is shooting in the dark, hoping great content alone will deliver results.
The core challenges are threefold:
LLMs don’t publish query frequency or “search volume” equivalents.
Their responses vary subtly (or not so subtly) even for identical queries, due to probabilistic decoding and prompt context.
They depend on hidden contextual features (user history, session state, embeddings) that are opaque to external observers.
Why LLM queries are different
Traditional search behavior is repetitive – millions of identical phrases drive stable volume metrics. LLM interactions are conversational and variable.
People rephrase questions in different ways, often within a single session. That makes pattern recognition harder with small datasets but feasible at scale.
These structural differences explain why LLM visibility demands a different measurement model.
This variability requires a different tracking approach than traditional SEO or marketing analytics.
The leading method uses a polling-based model inspired by election forecasting.
The polling-based model for measuring visibility
A representative sample of 250–500 high-intent queries is defined for your brand or category, functioning as your population proxy.
These queries are run daily or weekly to capture repeated samples from the underlying distribution of LLM responses.
Tracking tools record when your brand and competitors appear as citations (linked sources) or mentions (text references), enabling share of voice calculations across all competitors.
Over time, aggregate sampling produces statistically stable estimates of your brand visibility within LLM-generated content.
Early tools providing this capability include:
Profound.
Conductor.
OpenForge.
Consistent sampling at scale transforms apparent randomness into interpretable signals.
Over time, aggregate sampling provides a stable estimate of your brand’s visibility in LLM-generated responses – much like how political polls deliver reliable forecasts despite individual variations.
Building a multi-faceted tracking framework
While share of voice paints a picture of your presence in the LLM landscape, it doesn’t tell the complete story.
Just as keyword rankings show visibility but not clicks, LLM presence doesn’t automatically translate to user engagement.
Brands need to understand how people interact with their content to build a compelling business case.
Because no single tool captures the entire picture, the best current approach layers multiple tracking signals:
Share of voice (SOV) tracking: Measure how often your brand appears as mentions and citations across a consistent set of high-value queries. This provides a benchmark to track over time and compare against competitors.
Referral tracking in GA4: Set up custom dimensions to identify traffic originating from LLMs. While attribution remains limited today, this data helps detect when direct referrals are increasing and signals growing LLM influence.
Branded homepage traffic in Google Search Console: Many users discover brands through LLM responses, then search directly in Google to validate or learn more. This two-step discovery pattern is critical to monitor. When branded homepage traffic increases alongside rising LLM presence, it signals a strong causal connection between LLM visibility and user behavior. This metric captures the downstream impact of your LLM optimization efforts.
Nobody has complete visibility into LLM impact on their business today, but these methods cover all the bases you can currently measure.
Be wary of any vendor or consultant promising complete visibility. That simply isn’t possible yet.
Understanding these limitations is just as important as implementing the tracking itself.
Because no perfect models exist yet, treat current tracking data as directional – useful for decisions, but not definitive.
Measuring LLM impact is one thing. Identifying which queries and topics matter most is another.
Compared to SEO or PPC, marketers have far less visibility. While no direct search volume exists, new tools and methods are beginning to close the gap.
The key shift is moving from tracking individual queries – which vary widely – to analyzing broader themes and topics.
The real question becomes: which areas is your site missing, and where should your content strategy focus?
To approximate relative volume, consider three approaches:
Correlate with SEO search volume
Start with your top-performing SEO keywords.
If a keyword drives organic traffic and has commercial intent, similar questions are likely being asked within LLMs. Use this as your baseline.
Layer in industry adoption of AI
Estimate what percentage of your target audience uses LLMs for research or purchasing decisions:
High AI-adoption industries: Assume 20-25% of users leverage LLMs for decision-making.
Slower-moving industries: Start with 5-10%.
Apply these percentages to your existing SEO keyword volume. For example, a keyword with 25,000 monthly searches could translate to 1,250-6,250 LLM-based queries in your category.
Using emerging inferential tools
New platforms are beginning to track query data through API-level monitoring and machine learning models.
Accuracy isn’t perfect yet, but these tools are improving quickly. Expect major advancements in inferential LLM query modeling within the next year or two.
Get the newsletter search marketers rely on.
Optimizing for LLM visibility
The technologies that help companies identify what to improve are evolving quickly.
While still imperfect, they’re beginning to form a framework that parallels early SEO development, where better tracking and data gradually turned intuition into science.
Optimization breaks down into two main questions:
What content should you create or update, and should you focus on quality content, entities, schema, FAQs, or something else?
How should you align these insights with broader brand and SEO strategies?
Identify what content to create or update
One of the most effective ways to assess your current position is to take a representative sample of high-intent queries that people might ask an LLM and see how your brand shows up relative to competitors. This is where the Share of Voice tracking tools we discussed earlier become invaluable.
These same tools can help answer your optimization questions:
Track who is being cited or mentioned for each query, revealing competitive positioning.
Identify which queries your competitors appear for that you don’t, highlighting content gaps.
Show which of your own queries you appear for and which specific assets are being cited, pinpointing what’s working.
From this data, several key insights emerge:
Thematic visibility gaps: By analyzing trends across many queries, you can identify where your brand underperforms in LLM responses. This paints a clear picture of areas needing attention. For example, you’re strong in SEO but not in PPC content.
Third-party resource mapping: These tools also reveal which external resources LLMs reference most frequently. This helps you build a list of high-value third-party sites that contribute to visibility, guiding outreach or brand mention strategies.
Blind spot identification: When cross-referenced with SEO performance, these insights highlight blind spots; topics or sources where your brand’s credibility and representation could improve.
Understand the overlap between SEO and LLM optimization
LLMs may be reshaping discovery, but SEO remains the foundation of digital visibility.
Across five competitive categories, brands ranking on Google’s first page appeared in ChatGPT answers 62% of the time – a clear but incomplete overlap between search and AI results.
That correlation isn’t accidental.
Many retrieval-augmented generation (RAG) systems pull data from search results and expand it with additional context.
The more often your content appears in those results, the more likely it is to be cited by LLMs.
Brands with the strongest share of voice in LLM responses are typically those that invested in SEO first.
Strong technical health, structured data, and authority signals remain the bedrock for AI visibility.
What this means for marketers:
Don’t over-focus on LLMs at the expense of SEO. AI systems still rely on clean, crawlable content and strong E-E-A-T signals.
Keep growing organic visibility through high-authority backlinks and consistent, high-quality content.
Use LLM tracking as a complementary lens to understand new research behaviors, not a replacement for SEO fundamentals.
Redefine on-page and off-page strategies for LLMs
Just as SEO has both on-page and off-page elements, LLM optimization follows the same logic – but with different tactics and priorities.
Off-page: The new link building
Most industries show a consistent pattern in the types of resources LLMs cite:
Wikipedia is a frequent reference point, making a verified presence there valuable.
Reddit often appears as a trusted source of user discussion.
Review websites and “best-of” guides are commonly used to inform LLM outputs.
Citation patterns across ChatGPT, Gemini, Perplexity, and Google’s AI Overviews show consistent trends, though each engine favors different sources.
This means that traditional link acquisition strategies, guest posts, PR placements, or brand mentions in review content will likely evolve.
Instead of chasing links anywhere, brands should increasingly target:
Pages already being cited by LLMs in their category.
Reviews or guides that evaluate their product category.
Articles where branded mentions reinforce entity associations.
The core principle holds: brands gain the most visibility by appearing in sources LLMs already trust – and identifying those sources requires consistent tracking.
On-page: What your own content reveals
The same technologies that analyze third-party mentions can also reveal which first-party assets, content on your own website, are being cited by LLMs.
This provides valuable insight into what type of content performs well in your space.
For example, these tools can identify:
What types of competitor content are being cited (case studies, FAQs, research articles, etc.).
Where your competitors show up but you don’t.
Which of your own pages exist but are not being cited.
From there, three key opportunities emerge:
Missing content: Competitors are cited because they cover topics you haven’t addressed. This represents a content gap to fill.
Underperforming content: You have relevant content, but it isn’t being referenced. Optimization – improving structure, clarity, or authority – may be needed.
Content enhancement opportunities: Some pages only require inserting specific Q&A sections or adding better-formatted information rather than full rewrites.
Leverage emerging technologies to turn insights into action
The next major evolution in LLM optimization will likely come from tools that connect insight to action.
Early solutions already use vector embeddings of your website content to compare it against LLM queries and responses. This allows you to:
Detect where your coverage is weak.
See how well your content semantically aligns with real LLM answers.
Identify where small adjustments could yield large visibility gains.
Current tools mostly generate outlines or recommendations.
The next frontier is automation – systems that turn data into actionable content aligned with business goals.
Timeline and expected results
While comprehensive LLM visibility typically builds over 6-12 months, early results can emerge faster than traditional SEO.
The advantage: LLMs can incorporate new content within days rather than waiting months for Google’s crawl and ranking cycles.
However, the fundamentals remain unchanged.
Quality content creation, securing third-party mentions, and building authority still require sustained effort and resources.
Think of LLM optimization as having a faster feedback loop than SEO, but requiring the same strategic commitment to content excellence and relationship building that has always driven digital visibility.
From SEO foundations to LLM visibility
LLM traffic remains small compared to traditional search, but it’s growing fast.
A major shift in resources would be premature, but ignoring LLMs would be shortsighted.
The smartest path is balance: maintain focus on SEO while layering in LLM strategies that address new ranking mechanisms.
Like early SEO, LLM optimization is still imperfect and experimental – but full of opportunity.
Brands that begin tracking citations, analyzing third-party mentions, and aligning SEO with LLM visibility now will gain a measurable advantage as these systems mature.
In short:
Identify the third-party sources most often cited in your niche and analyze patterns across AI engines.
Map competitor visibility for key LLM queries using tracking tools.
Audit which of your own pages are cited (or not) – high Google rankings don’t guarantee LLM inclusion.
Continue strong SEO practices while expanding into LLM tracking – the two work best as complementary layers.
Approach LLM optimization as both research and brand-building.
Don’t abandon proven SEO fundamentals. Rather, extend them to how AI systems discover, interpret, and cite information.
Contributing authors are invited to create content for Search Engine Land and are chosen for their expertise and contribution to the search community. Our contributors work under the oversight of the editorial staff and contributions are checked for quality and relevance to our readers. Search Engine Land is owned by Semrush. Contributor was not asked to make any direct or indirect mentions of Semrush. The opinions they express are their own.
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Written by Knoxville, Tennessee / Syndication Cloud / October 27, 2025 / MediaExpress Key Takeaways: The accounting industry’s competitive landscape has shifted dramatically. While large firms pour substantial resources into marketing campaigns, small accounting practices often feel overwhelmed by the challenge of competing for visibility and clients. However, the path to success doesn’t require matching their marketing budgets dollar for dollar. Research reveals that high-growth accounting firms allocate approximately 2.1% of their revenue to marketing, excluding compensation costs. This represents double the 1% investment made by slower-growing firms. These high-growth practices achieve revenue growth rates up to seven times faster than their competitors, demonstrating the clear correlation between marketing investment and business expansion. The disparity becomes even more pronounced when examining total marketing budgets. While large accounting firms can dedicate hundreds of thousands of dollars annually to advertising, branding, and lead generation, small firms typically operate with fraction of these resources. Many business advisors suggest that smaller accounting firms should allocate at least 5% of their revenue to marketing and sales to see meaningful growth, but the key lies in strategic deployment rather than raw spending power. For small firm owners wondering how to bridge this gap, the solution isn’t about increasing spending to match larger competitors. Instead, it’s about using cost-effective strategies that deliver maximum impact. A well-constructed website serves as the most cost-effective accounting marketing tool for lead generation and branding. Unlike expensive advertising campaigns that require ongoing investment, a professional website works around the clock to attract and convert potential clients. Modern websites equipped with contact forms, service descriptions, and client testimonials can generate leads while showcasing expertise and credibility. The website should function as more than just an online brochure. Interactive features like tax calculators, downloadable guides, and appointment scheduling systems provide immediate value to visitors while capturing contact information for follow-up. Search engine optimization ensures the site appears when local businesses and individuals search for accounting services, creating a steady stream of qualified leads without ongoing advertising costs. “Content marketing typically costs significantly less than traditional marketing while generating substantially more leads on average,” say the experts from MediaExpress, a marketing agency specializing in accounting firm visibility and traffic growth. “For accounting firms, this strategy involves creating valuable resources that address common client questions and concerns. Blog posts explaining tax law changes, video tutorials on bookkeeping basics, and downloadable checklists for small business owners establish expertise while attracting potential clients.” The compound effect of content marketing provides long-term benefits that traditional advertising cannot match. Each piece of quality content continues attracting visitors and generating leads long after publication. Additionally, most marketers report increased brand awareness through content marketing efforts, making it a vital component of any competitive marketing strategy. Local SEO optimization helps accounting firms dominate search results when potential clients search for services in their area. This strategy proves particularly effective for small firms competing against larger practices, as local search results often favor businesses with strong community connections and relevant local content. Optimizing Google My Business listings, gathering client reviews, and creating location-specific content ensures visibility when prospects search for “accountant near me” or “[city] tax preparation services.” Local SEO requires minimal financial investment but demands consistent effort in maintaining accurate business information across online directories and engaging with customer reviews. Email marketing provides a cost-effective method for boosting brand awareness and nurturing client relationships. Regular newsletters sharing tax tips, deadline reminders, and industry updates keep the firm top-of-mind throughout the year, not just during tax season. Segmented email campaigns allow personalized communication based on client types, such as small businesses versus individual taxpayers. The direct communication channel that email provides proves invaluable for maintaining relationships with existing clients while nurturing prospects through the decision-making process. Automated email sequences can guide potential clients through educational content, gradually building trust and positioning the firm as the logical choice when they’re ready to engage professional services. Small accounting firms often possess inherent agility advantages that large corporations cannot replicate, regardless of their marketing budgets. When new marketing trends emerge or market conditions shift, small firms can pivot immediately without navigating corporate bureaucracy, committee approvals, or lengthy decision-making processes that plague larger organizations. This responsiveness allows small firms to test innovative marketing approaches, quickly abandon unsuccessful strategies, and double down on effective tactics. While large firms spend months analyzing and approving new marketing initiatives, small firms can implement, test, and refine their approach in real time based on actual results rather than theoretical projections. The personal touch that small accounting firms provide creates competitive advantages that no marketing budget can purchase. Clients appreciate direct access to their accountant, personalized attention to their unique situations, and the flexibility to customize services based on individual needs. These relationship-based benefits generate powerful word-of-mouth marketing that often outperforms expensive advertising campaigns. Customer service excellence becomes a significant differentiator when competing against larger firms with standardized processes and limited personalization. Small firms can remember client preferences, maintain ongoing relationships throughout the year, and provide the individual attention that builds lasting loyalty and generates referrals. The collaborative, intimate work environment that small firms naturally foster creates both employee satisfaction and client benefits. Staff members can develop deeper expertise in specific areas and maintain closer relationships with clients, leading to better service quality and more personalized solutions. This close-knit structure enables faster problem-solving, more creative solutions, and the ability to go above and beyond for clients in ways that corporate policies might prohibit at larger firms. The resulting client satisfaction and staff dedication create marketing advantages that extend far beyond paid advertising efforts. Developing expertise in specific industries allows small accounting firms to differentiate themselves from general practice competitors while commanding premium rates. Rather than competing on price with large firms offering commoditized services, niche specialists become the go-to experts for particular business types or specialized accounting needs. Industry specialization enables faster growth through focused marketing efforts and referral networks within specific business communities. Restaurants, medical practices, construction companies, and e-commerce businesses each have unique accounting needs that generalist firms often handle less effectively than specialists who understand industry-specific challenges and opportunities. Firms that develop accounting niches grow at faster rates and effectively avoid price competition by positioning themselves as specialists rather than generalists. This expert positioning allows premium pricing while reducing competition, as clients prefer working with accountants who understand their specific industry challenges. Niche expertise also creates natural marketing opportunities through industry associations, trade publications, and specialized networking events where the firm can establish thought leadership and generate high-quality referrals from within their target market. Community involvement provides marketing benefits that extend far beyond traditional advertising reach. Sponsoring local business events, charity fundraisers, and community organizations builds brand recognition while demonstrating commitment to the local area. These activities generate positive associations and word-of-mouth recommendations that money cannot buy. Volunteering for community causes creates networking opportunities with other local business owners and community leaders, often leading to referrals and business relationships. The goodwill generated through community involvement translates into marketing credibility that strengthens all other promotional efforts. Small firms can implement creative local promotions and personalized offers that large corporate practices cannot easily replicate. Special rates for local business associations, referral incentives for existing clients, and community-specific services demonstrate flexibility and local commitment that resonates with area businesses and residents. These localized approaches create competitive advantages by addressing specific community needs and building stronger connections with the local market. Large firms with standardized pricing and service offerings struggle to match this level of customization and local relevance. Small accounting firms can compete effectively with larger competitors by strategically investing approximately 5% of revenue in marketing while focusing on high-impact, low-cost strategies. The key lies in consistent implementation rather than sporadic large investments, building marketing momentum through sustained effort across multiple channels. Success comes from combining digital strategies like professional websites and content marketing with relationship-based approaches like community involvement and exceptional customer service. This integrated approach maximizes marketing effectiveness while playing to the natural strengths that small firms possess. The most successful small accounting firms don’t try to outspend their larger competitors; they out-strategize them by using advantages that money cannot buy while implementing cost-effective digital and content marketing tactics that level the playing field. Consistent execution of these strategies creates sustainable competitive advantages that grow stronger over time.
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https://zoomyourtraffic.com/wp-content/uploads/2025/10/wp-header-logo-66.png405720Team ZYThttps://www.zoomyourtraffic.com/wp-content/uploads/2024/01/ZYT-1.pngTeam ZYT2025-10-30 08:35:482025-10-30 08:35:48Accounting Firm Marketing Strategies: How SMBs Use Content & SEO For Visibility – USA Today
Company loses 70% of organic traffic in two months after dismissing SEO team based on misconceptions about AI search impact and traditional Google visibility. An SEO professional reported their dismissal on October 27, 2025, after their CEO concluded that artificial intelligence was making traditional search engine optimization obsolete. The decision came despite 98% of the company’s traffic originating from Google. Within two months of the termination, the organization experienced a 70% decline in organic traffic. According to Jake Ward, who shared the incident on social media platform X, the case demonstrates how executive misunderstanding of search technology can damage business performance. Ward, who operates Contact.so and has generated $20 million annually for clients, posted about the situation at 8:52 PM on October 27, attracting 7,557 views within hours. Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year. The fired professional, posting under the username BoomBrigade7 on Reddit’s SEO community six days before Ward’s post, provided additional context about the traffic collapse. The individual shared Google Search Console data showing dramatic visitor declines beginning in late August 2025. Traffic patterns revealed sustained performance through most of the year before plummeting to near-zero levels. “SEO gets fired because CEO thinks AI is killing traditional search despite 98% of traffic coming from Google,” Ward wrote. “Traffic drops by -70% in 2 months. AI doesn’t kill traffic, bad decisions do.” Multiple SEO professionals responding to the Reddit thread suggested the traffic decline stemmed from technical implementation errors rather than strategic decisions about AI optimization. Full-Penalty6971 noted that the timing aligned with recent Google algorithm changes affecting programmatic SEO and keyword stuffing practices across multiple websites. Follow on Google, Google News, X, LinkedIn, Mastodon, Bluesky, or via RSS The dismissed professional clarified that management changed URLs for top-performing pages without implementing 301 redirects following their departure. “No, I checked, they straight up changed URLs of their top performing pages, no redirects,” BoomBrigade7 explained. “No Idea why they did that, but those pages just went to 0.” This technical mistake eliminated rankings for pages that had previously generated approximately 70% of total site traffic through programmatic SEO methods. The pages had produced direct user signups, making them critical revenue drivers for the business model. The incident occurred during a period when AI Overviews from Google reduced organic clicks by 34.5% when present in search results, according to July 2025 industry analysis. However, multiple tracking sources indicate traditional Google search continues to generate the vast majority of website referral traffic despite AI feature expansion. Professional commentary on the situation split between those identifying algorithmic penalties and those recognizing operational failures. Ryan Monahan, responding to Ward’s post, stated: “If true, this sounds more like the site was penalized than a shift in strategy. That’s too dramatic a shift for organic to drop by that much, that fast.” Technical SEO expert Brodie Clark addressed similar configuration mistakes in early October, noting that sites must submit individual sitemaps to Google Search Console rather than relying solely on sitemap index files. The guidance emphasized that missing technical implementations could severely impact indexing for large websites. The case reflects broader confusion within executive leadership about the relationship between traditional SEO and emerging AI search platforms. The dismissed professional had explained to management that their pages were already appearing in ChatGPT search results, indicating that quality SEO work supports visibility across multiple discovery channels. BoomBrigade7 described management’s decision-making: “Tried explaining, but LinkedIn crap got to him. They had already started seeing visits from ChatGPT. But didn’t agree.” The reference suggests the CEO had consumed promotional content about AI search optimization through professional social networks without understanding technical implementation requirements. Buy ads on PPC Land. PPC Land has standard and native ad formats via major DSPs and ad platforms like Google Ads. Via an auction CPM, you can reach industry professionals. Industry data from August 2025 shows that AI-focused optimization acronyms have proliferated throughout the year, with John Mueller from Google warning on August 14 that aggressive promotion of these frameworks may indicate spam tactics. Mueller specifically addressed GEO (Generative Engine Optimization), AIO (AI Optimization), and AEO (Answer Engine Optimization) terminology. The confusion extends beyond individual companies. Google’s June 2025 core update affected websites globally, with ranking volatility beginning June 30 and continuing through mid-July. Temperature readings from Sistrix and Cognitive SEO tracking tools registered elevated fluctuation scores compared to typical daily patterns. Traffic analysis from the fired professional’s Google Search Console account showed that their former employer maintained relatively stable performance through June and July 2025 before the August collapse. The data contradicted assumptions that algorithmic changes alone caused the decline. Several Reddit commenters questioned how the individual retained access to client analytics after termination. BoomBrigade7 explained: “They had a common Gmail account with GSC and GA access that they shared with everyone. It was still logged in on my device, so I took a peek.” This revelation prompted SEO professionals to emphasize security best practices. SEOVicc commented: “If you’re dumb enough to think ai optimization is a separate thing then you probably have a lot of people left in your accounts like that.” The broader marketing implications center on executive understanding of search technology evolution. Traditional SEO techniques that improve content quality, technical performance, and topical authority continue to support visibility across both conventional search engines and AI-powered answer systems. Research published in June 2025 by SEO consultant Aleyda Solis demonstrated that AI search engines retrieve content through similar mechanisms as traditional systems. The eight-point optimization framework emphasized chunk-level content retrieval, citation worthiness, and crawlability requirements that overlap substantially with established SEO practices. Data from Brainlabs analysis in July 2025 found that 96% of links appearing in AI Overviews originated from websites ranking in the top 10 organic results. This correlation indicates that sites optimized for traditional search visibility automatically improve their chances of AI platform citations. The financial consequences for the affected company remain unclear. BoomBrigade7 indicated they had moved on to other projects rather than seeking to restore the relationship. “How I wish, but dont want anything to do with them now. Will move on to next interesting project,” they stated. Marketing professionals tracking the situation expressed concern about similar scenarios affecting other organizations. TopOfTheTown86 shared experiencing comparable executive misconceptions: “The CEO of our parent company told me in a meeting last week that ‘SEO is dead’ and genuinely seemed happy about it. Considering we are still getting about 130k users a month from search I think she is wrong.” The case demonstrates particular relevance for companies employing programmatic SEO strategies. These approaches generate large volumes of optimized pages based on structured data and templates, particularly effective for e-commerce platforms, directories, and data-driven websites. However, programmatic methods require careful technical implementation to maintain search engine compliance. Algorithmic penalties have affected programmatic SEO implementations throughout 2025. Sites hit by the September 2023 Helpful Content Update experienced their first recovery patterns during the June 2025 core update, nearly two years after initial impacts. Glenn Gabe documented recovery across 400 websites that had been severely affected by the original HCU implementation. The incident gained additional attention because it contradicted prevailing narratives about AI search displacing traditional optimization. While Google Discover traffic has grown to represent two-thirds of referrals to news websites as of August 2025, organic search continues to generate substantial volumes for most commercial websites. Industry observers noted that AI search traffic typically represents 2-10% of overall search referrals for most websites, though some B2C brands measure AI citations at 40-130% of their organic search traffic from Google Search Console when using specialized analytics platforms. The variance depends heavily on industry vertical and content type. Professional SEO practitioners emphasized that recovery from technical mistakes like missing redirects requires immediate corrective action. Full-Penalty6971 summarized the redirect error: “Oof. No 301 redirects Rookie move. Fafo then I suppose!” The acronym referenced “find out” consequences following poor implementation decisions. For the dismissed professional, competitor outreach appeared successful. “Yes sales team did that already! Got a few competitor calls lined up next week XD,” BoomBrigade7 reported, suggesting that demonstrated results attracted interest from rival organizations in the same market sector. The situation reinforces findings from multiple 2025 industry studies showing that organic search optimization remains central to digital marketing strategies. According to January 2025 research, 72% of marketers planned to increase programmatic advertising investment, but this growth complemented rather than replaced organic visibility efforts. Organizations navigating similar leadership concerns about AI search impact should focus on data-driven decision-making. Tracking actual traffic sources, conversion rates, and revenue attribution provides concrete evidence for the continued value of traditional search visibility alongside emerging AI platforms. The case also highlights communication challenges between technical specialists and executive leadership. When CEOs consume trend-focused content through social media without corresponding technical context, misaligned strategic decisions can damage operational performance. For the broader SEO community, the incident serves as a cautionary example about the consequences of abandoning established practices based on incomplete understanding of technological shifts. While AI search platforms continue expanding their reach and capabilities, the fundamental mechanisms of content discovery show substantial continuity with traditional search engine operations. Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year. Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year. Who: An SEO professional operating as a consultant with a small team was dismissed by their company’s CEO. Jake Ward, founder of Contact.so who generates $20 million annually for clients, shared the incident publicly. The dismissed professional posted under username BoomBrigade7 on Reddit’s SEO community. Industry professionals including Full-Penalty6971, Ryan Monahan, SEOVicc, and others provided technical analysis of the situation. What: A company fired its SEO team based on the CEO’s belief that AI search was making traditional optimization obsolete, despite 98% of traffic originating from Google. Following the dismissal, management changed URLs for top-performing pages without implementing 301 redirects. The website experienced a 70% traffic decline over approximately two months, dropping from sustained performance levels to near-zero visitors. The pages that lost rankings had generated approximately 70% of site traffic through programmatic SEO methods and produced direct user signups. When: The dismissal occurred before October 21, 2025, when the professional posted about the situation on Reddit. Jake Ward shared the case on October 27, 2025, at 8:52 PM. Traffic decline began in late August 2025 according to Google Search Console data, following months of stable performance through June and July. The situation developed during a period when Google’s June 2025 core update had concluded on July 17, and various algorithmic changes were affecting websites across multiple sectors. Where: The incident occurred at a company whose specific identity was not disclosed in public posts. Traffic monitoring happened through Google Search Console, which the dismissed professional accessed via a shared Gmail account that remained logged into their device. The case gained visibility through social media platform X and Reddit’s r/SEO community forum. Industry discussion took place across multiple professional networks including LinkedIn, where the CEO reportedly consumed content about AI search trends. Why: The CEO dismissed the SEO professional based on misconceptions that artificial intelligence was eliminating the need for traditional search optimization, influenced by promotional content on LinkedIn about AI search trends. The decision occurred despite data showing 98% of traffic came from Google and pages were already appearing in ChatGPT search results. After the dismissal, management implemented URL changes without proper technical implementation of 301 redirects, causing top-performing pages to lose all rankings. The traffic collapse resulted from operational mistakes rather than algorithmic penalties or fundamental shifts in search technology, demonstrating how executive misunderstanding of technical requirements can damage business performance.
https://zoomyourtraffic.com/wp-content/uploads/2025/10/wp-header-logo-65.png7501200Team ZYThttps://www.zoomyourtraffic.com/wp-content/uploads/2024/01/ZYT-1.pngTeam ZYT2025-10-29 21:35:132025-10-29 21:35:13SEO professional fired as CEO bets on AI search, traffic drops 70% – PPC Land
Adobe launches conversational AI assistant in Express on October 28, enabling creators to design and edit content through natural language interactions. Adobe announced a new AI assistant within Adobe Express on October 28, 2025, during Adobe MAX in Los Angeles. The conversational interface enables users to generate and modify design elements through natural language commands. The beta release marks Adobe’s expansion of agentic AI capabilities beyond enterprise applications into its consumer-facing creative platform. The AI assistant in Express operates differently from traditional template-based design tools. Users describe desired outcomes in plain language, and the system selects appropriate models, tools, and assets to execute edits. Someone requesting a “more tropical” aesthetic will see the assistant replace mountain imagery with foliage and flowers, surface saturation controls, and present color pickers with relevant tropical palettes. The system follows up with contextual suggestions such as font changes matching the new theme. Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year. “The new AI Assistant in Adobe Express is built to transform how you create,” said Govind Balakrishnan, senior vice president and general manager at Adobe Express. “It works with you, removing obstacles, speeding up processes and providing inspiration, so you create beyond-the-template content that represents your unique brand, business or vision.” The technical architecture distinguishes the Express assistant from competing tools through layer-specific editing capabilities. Users can modify individual design elements—fonts, images, backgrounds—while preserving unchanged components. This approach differs from generative tools requiring complete regeneration when making adjustments. The assistant interprets ambiguous requests by drawing on Adobe’s content intelligence and creative best practices trained from professional designers. Adobe surveyed 16,000 creators globally before the launch. The research found 81% had used generative AI experiences like Adobe Express to create content they could not have produced otherwise. More than 70% expressed interest in agentic AI capabilities to advance their creative work. The platform supporting the AI assistant enables integrations with chatbot platforms, providing multiple access points for conversational creation. Adobe simultaneously introduced the Dev MCP Server for Adobe Express Add-ons, allowing developers to build features and integrations with conversational interfaces. Follow on Google, Google News, X, LinkedIn, Mastodon, Bluesky, or via RSS Enterprise capabilities coming to the AI assistant include template locking, batch creation, and organizational controls. These features extend content supply chain management to broader workforces while maintaining brand consistency. Workday stated that non-designers will create professional visuals by describing requirements, making design more accessible without intimidating complexity. Sakura Martin, global head of brand and design at dentsu, noted the enterprise approach provides confidence for employees lacking design experience while saving time for professional designers on routine tasks. Features including locked templates and approval processes enable self-service content creation within brand guidelines. Moria Fredrickson, vice president of brand and digital transformation at Lumen, described the agent as transformative for marketers more comfortable with text. “It will allow us to unlock creativity in marketers that are more comfortable with text, giving them the power to develop fully finished, on-brand layouts rapidly without the need for design skills,” Fredrickson said. The announcement follows Adobe’s September 10 launch of the Experience Platform Agent Orchestrator for enterprise marketing automation. That platform includes six specialized agents for audience management, journey optimization, and analytics. Over 70% of eligible Adobe Experience Platform customers already use the AI Assistant as the conversational interface for agent interactions. Adobe’s approach to AI in Express draws on several technical foundations. The system orchestrates first-party and third-party models for specific tasks. Adobe Express includes professional-quality assets and creative tools designed for accessibility. The assistant applies creative workflows understanding composition, color harmonization, and font selection based on training from professional creatives. Content expertise embedded in the system determines which visual assets drive engagement. The Express platform targets a broader user base than Adobe’s professional Creative Cloud applications. Adobe’s marketing organization tested AI visibility optimization on its own properties, achieving fivefold citation increases for Adobe Firefly and 200% visibility gains for Adobe Acrobat compared to competitors. The AI assistant beta launches on desktop for Adobe Express Premium subscribers. General availability will extend access to all Express customers through the Firefly generative credit system. Additional credit packs will be available for purchase to enable more generative creation. The release timing aligns with broader enterprise AI developments from Adobe. The company announced B2B-specific agents on October 9, including Audience Agent, Journey Agent, and Data Insights Agent for complex purchasing cycles. Cisco has been testing these agents across sales and marketing operations. Adobe maintains what it describes as the most creator-friendly approach to AI in the industry. The company positions AI as a tool for rather than replacement of human creativity, emphasizing respect for creator rights in developing generative AI capabilities. The company’s generative AI development starts with intellectual property considerations for content creators. Buy ads on PPC Land. PPC Land has standard and native ad formats via major DSPs and ad platforms like Google Ads. Via an auction CPM, you can reach industry professionals. The conversational creation model in Express differs from standalone generative tools by maintaining integration with Adobe’s editing capabilities. Users can switch between natural language interaction with the assistant and manual adjustments using sliders and color selectors. This hybrid approach provides flexibility for users wanting precise control over specific elements while benefiting from AI-assisted generation for others. Adobe’s emphasis on template evolution rather than template limitation addresses a common constraint in accessible design tools. Templates provide starting points, but rigid template structures can limit creative expression. The AI assistant transforms templates into dynamic foundations where any element can be modified through conversation, removing technical barriers while preserving design quality. The platform’s understanding of design principles enables the assistant to maintain aesthetic coherence when executing changes. Adjusting one element triggers related modifications maintaining visual harmony. Changing a color scheme prompts the system to suggest complementary font adjustments and image treatments. This contextual awareness differentiates the Express assistant from tools executing commands literally without considering broader design implications. Adobe’s consumer-facing AI assistant represents an extension of conversational interfaces the company has deployed across its product portfolio. Experience Cloud received AI content optimization features on September 16, 2024, enabling attribute-level performance insights and real-time experimentation. The AI Assistant Content Accelerator in Journey Optimizer generates on-brand assets optimized for target audiences. The market for accessible creative tools has expanded as organizations require more content across channels. Traditional content supply chains struggle to meet volume demands while maintaining quality and brand consistency. Conversational interfaces lower barriers for content creation by removing technical learning curves, though they introduce new considerations around output quality and brand alignment. The enterprise features planned for Express address organizational concerns about distributed content creation. Template locking prevents modifications to protected brand elements while allowing flexibility in permitted areas. Batch creation enables scaling production for campaigns requiring numerous variations. Approval workflows ensure content meets standards before publication. These controls balance accessibility with governance, enabling broader participation in content creation without sacrificing oversight. Adobe’s positioning of Express as a conversational canvas reflects broader industry movement toward natural language interfaces for complex applications. The approach assumes users can articulate desired outcomes more easily than they can execute technical procedures to achieve them. Translation from intent to execution becomes the system’s responsibility rather than the user’s technical challenge. The announcement’s timing during Adobe MAX places the Express assistant within a broader ecosystem of AI-powered creative tools Adobe introduced at the conference. The company positioned the release alongside updates to Photoshop, Lightroom, Premiere, and Illustrator, emphasizing AI integration across professional and accessible creative applications. This strategy addresses different skill levels and use cases while maintaining consistent AI capabilities across the portfolio. Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year. Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year. Who: Adobe, led by Govind Balakrishnan, senior vice president and general manager of Adobe Express, targeting creators of all skill levels and enterprise organizations including Workday, dentsu, and Lumen. What: Launch of AI Assistant beta in Adobe Express featuring conversational content creation and editing, layer-specific modifications, integration with chatbot platforms, and planned enterprise features including template locking and batch creation. When: Announced October 28, 2025, during Adobe MAX in Los Angeles. Beta available immediately for Premium subscribers with general availability planned through Firefly credit system. Where: Adobe MAX conference in Los Angeles. Platform available on desktop initially with enterprise capabilities coming in subsequent months across Adobe’s global customer base. Why: Adobe survey of 16,000 creators found 81% used generative AI to create content they otherwise could not produce. More than 70% expressed interest in agentic AI for advancing creativity. Organizations face content volume demands exceeding production capacity while requiring brand consistency and quality control. The AI assistant addresses these challenges by lowering technical barriers through conversational interfaces while maintaining professional output quality through Adobe’s creative intelligence and integrated editing tools.
https://zoomyourtraffic.com/wp-content/uploads/2025/10/wp-header-logo-62.png6301200Team ZYThttps://www.zoomyourtraffic.com/wp-content/uploads/2024/01/ZYT-1.pngTeam ZYT2025-10-28 12:33:492025-10-28 12:33:49Mondelez Turns to Generative AI to Cut Marketing Costs by Up to 50% – TradingView
Advantage Media Partners, a Beaverton-based digital marketing agency, announces AI-powered enhancements to its SEO and marketing programs. Combining 15+ years of Google Partner expertise with advanced AI, the firm helps clients boost visibility across traditional search and emerging AI-driven discovery platforms. Beaverton, OR, October 27, 2025 — Advantage Media Partners, a Beaverton digital marketing company, has announced the addition of new AI-powered services to the search engine optimization and marketing programs. Utilizing the increasingly sophisticated power of artificial intelligence, with the insights they have developed in their 15+ years as Certified Google Partners, they aim to help clients maintain and improve their visibility and reach in an online landscape where AI is becoming used more and more to navigate the internet. Aside from using AI to further improve their marketing, advertising, and other services, Advantage Media Partners has begun providing services that address the growing share of internet traffic that is guided by AI, as well. More potential customers online are using AI-search results from tools like ChatGPT and Google’s AI Overview, meaning that websites that get picked up and featured by AI tools are more likely to pull in traffic from those sources, as well. As such, Advantage Media Partners has incorporated AI as part of their SEO services, as part of a practice becoming known as GEO (or generative engine optimization). This is a new approach that optimizes websites and content so that they are more likely to be picked up by AI-driven tools, such as the aforementioned ChatGPT and Google’s AI Overview. AI-driven insights are also becoming a larger part of the general services offered within their SEO package, as well. For instance, they are now using AI to optimize their title and description tag generation process, ensuring that website text features more in search engine results. They are also combining AI with Google Analytics Installation & Setup, using it to track the results of their marketing efforts in real time, as well as Google Search Console Setup & Installation, to generate SEO insights. AI is also being used in schema markup services to improve SEO and file optimization to work directly with AI crawlers (such as those used by ChatGPT) to improve how AI-driven sites and search tools can use data on the client’s website. Driven by 15+ years of experience and hands-on work, the team at Advantage Media Partners understands that the role of AI is not to replace the insight of real humans, who can apply the human context to any strategy, but rather to enhance it. They aim to do that with their new AI-driven SEO and marketing services. For more information about Advantage Media Partners, use the contact details below: Contact Info: Name: Advantage Media Partners Email: Send Email Organization: Advantage Media Partners Address: Beaverton, OR Phone: 888-475-7532 Website: https://advantagemediapartners.com/
Release ID: 89173645 In the event of encountering any errors, concerns, or inconsistencies within the content shared in this press release, we kindly request that you immediately contact us at error@releasecontact.com (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our dedicated team will be readily accessible to address your feedback within 8 hours and take appropriate measures to rectify any identified issues or facilitate press release takedowns. Ensuring accuracy and reliability are central to our commitment.
https://zoomyourtraffic.com/wp-content/uploads/2025/10/wp-header-logo-61.png00Team ZYThttps://www.zoomyourtraffic.com/wp-content/uploads/2024/01/ZYT-1.pngTeam ZYT2025-10-28 01:32:422025-10-28 01:32:42Advantage Media Partners introduces AI into the SEO and Marketing Program – FinancialContent
Boost Local SEO: Google Business Profile Tips for Small Businesses in 2025 – WebProNews
/in AI Search, website SEO, Website Traffic/by Team ZYTIn the ever-evolving world of digital marketing, where algorithms shift like sand dunes, one tool stands out as a linchpin for small businesses aiming to dominate local search results: the Google Business Profile. Formerly known as Google My Business, this free platform serves as a virtual storefront, influencing everything from map visibility to customer inquiries. For industry insiders, understanding its nuances isn’t just beneficial—it’s essential for crafting strategies that drive foot traffic and conversions in an increasingly competitive arena.
At its core, optimizing a Google Business Profile begins with claiming and verifying your listing, a step that ensures accuracy and builds trust with Google’s algorithms. Businesses that meticulously fill out every detail— from precise addresses and hours to high-quality photos—often see a marked uptick in local rankings. According to insights from Duct Tape Marketing, this profile acts as the “secret sauce” for local SEO, integrating seamlessly with Google Maps and search results to position your business in the coveted “local pack” of top three results.
Unlocking Visibility Through Consistent Data Management
Consistency across the web is another critical factor. NAP (Name, Address, Phone) details must align perfectly with your website and other directories to avoid dilution of your SEO efforts. Recent updates in 2025, as detailed in a guide from Backlinko, emphasize building NAP citations through reputable sources like Yelp and local chambers of commerce, which can amplify your profile’s authority.
Moreover, incorporating relevant categories and attributes refines how Google matches your business to user queries. For instance, a coffee shop selecting “coffee shop” as a primary category while adding attributes like “free Wi-Fi” or “outdoor seating” can tailor its appeal, drawing in more targeted traffic. Industry experts note that these tweaks, combined with regular posts about promotions or events, keep the profile dynamic and engaging.
Harnessing Reviews and Engagement for Algorithmic Favor
Customer reviews form the backbone of credibility on Google Business Profiles. Encouraging satisfied clients to leave detailed feedback not only boosts star ratings but also provides fresh content that signals relevance to Google’s crawlers. A 2025 analysis from Pinmeto highlights how responding promptly to reviews—positive or negative—can improve engagement metrics, potentially elevating your position in local searches.
Beyond reviews, leveraging features like Q&A sections allows businesses to preempt common questions, further enriching the profile. For service-based companies, adding booking links or product showcases turns the profile into a conversion funnel, directly impacting revenue. Posts on X from local SEO specialists, such as those emphasizing weekly updates and real photos, underscore the simplicity of maintaining momentum: one user shared how optimizing services listings led to a 30% increase in inquiries for home service businesses.
Navigating 2025 Updates and Integration Challenges
Looking ahead, Google’s 2025 updates introduce tighter integrations with Local Services Ads and a unified “Google Verified” badge, as reported in WebProNews. These changes prioritize verified, active profiles, penalizing those with outdated information. For insiders, this means auditing profiles quarterly to align with new guidelines, such as mandatory links to Google Business Profiles for ad campaigns.
Integration with broader SEO strategies amplifies results. Pairing profile optimization with localized content on your website—think city-specific landing pages—creates a synergistic effect. A recent news piece from Tempesta Media warns contractors that ignoring these shifts could lead to visibility drops, especially with AI-driven search enhancements rolling out.
Measuring Impact and Adapting to Future Trends
To gauge success, track metrics like views, calls, and direction requests directly from the profile dashboard. Advanced users employ tools like Google Analytics to correlate profile performance with website traffic, revealing patterns that inform adjustments. For example, if photo views spike after uploading user-generated content, it signals a winning tactic.
As we move deeper into 2025, emerging trends point to greater emphasis on multimedia and AI personalization. Insights from Google Search Central suggest incorporating videos and 360-degree tours to enhance immersion, while X discussions highlight the benefits of geo-targeted keywords in descriptions. Businesses that treat their Google Business Profile as a living entity, continually refined through data and user feedback, position themselves not just to survive but to thrive in local search dominance.
Strategic Case Studies and Long-Term Best Practices
Consider the case of a regional bakery chain that, per strategies outlined in SEOSpace, revamped its profiles across multiple locations, resulting in a 40% rise in store visits. By syncing menus, responding to reviews in real-time, and posting weekly specials, they transformed passive listings into active marketing channels.
For long-term success, insiders recommend automating review requests via email campaigns and monitoring competitors’ profiles for benchmarking. With Google’s frequent tweaks—tracked in timelines from Sterling Sky—staying informed is key. Ultimately, the Google Business Profile isn’t merely a tool; it’s the cornerstone of a robust local SEO strategy, empowering businesses to connect meaningfully with their communities and outpace rivals in an algorithm-driven world.
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LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery
/in SEO/by Team ZYTMarketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude?
LLM optimization is taking shape as a new discipline focused on how brands surface in AI-generated results and what can be measured today.
For decision makers, the challenge is separating signal from noise – identifying the technologies worth tracking and the efforts that lead to tangible outcomes.
The discussion comes down to two core areas – and the timeline and work required to act on them:
Tracking: The foundation of LLM optimization
Just as SEO evolved through better tracking and measurement, LLM optimization will only mature once visibility becomes measurable.
We’re still in a pre-Semrush/Moz/Ahrefs era for LLMs.
Tracking is the foundation of identifying what truly works and building strategies that drive brand growth.
Without it, everyone is shooting in the dark, hoping great content alone will deliver results.
The core challenges are threefold:
Why LLM queries are different
Traditional search behavior is repetitive – millions of identical phrases drive stable volume metrics. LLM interactions are conversational and variable.
People rephrase questions in different ways, often within a single session. That makes pattern recognition harder with small datasets but feasible at scale.
These structural differences explain why LLM visibility demands a different measurement model.
This variability requires a different tracking approach than traditional SEO or marketing analytics.
The leading method uses a polling-based model inspired by election forecasting.
The polling-based model for measuring visibility
A representative sample of 250–500 high-intent queries is defined for your brand or category, functioning as your population proxy.
These queries are run daily or weekly to capture repeated samples from the underlying distribution of LLM responses.
Tracking tools record when your brand and competitors appear as citations (linked sources) or mentions (text references), enabling share of voice calculations across all competitors.
Over time, aggregate sampling produces statistically stable estimates of your brand visibility within LLM-generated content.
Early tools providing this capability include:
Consistent sampling at scale transforms apparent randomness into interpretable signals.
Over time, aggregate sampling provides a stable estimate of your brand’s visibility in LLM-generated responses – much like how political polls deliver reliable forecasts despite individual variations.
Building a multi-faceted tracking framework
While share of voice paints a picture of your presence in the LLM landscape, it doesn’t tell the complete story.
Just as keyword rankings show visibility but not clicks, LLM presence doesn’t automatically translate to user engagement.
Brands need to understand how people interact with their content to build a compelling business case.
Because no single tool captures the entire picture, the best current approach layers multiple tracking signals:
Nobody has complete visibility into LLM impact on their business today, but these methods cover all the bases you can currently measure.
Be wary of any vendor or consultant promising complete visibility. That simply isn’t possible yet.
Understanding these limitations is just as important as implementing the tracking itself.
Because no perfect models exist yet, treat current tracking data as directional – useful for decisions, but not definitive.
Dig deeper: In GEO, brand mentions do what links alone can’t
Estimating LLM ‘search volume’
Measuring LLM impact is one thing. Identifying which queries and topics matter most is another.
Compared to SEO or PPC, marketers have far less visibility. While no direct search volume exists, new tools and methods are beginning to close the gap.
The key shift is moving from tracking individual queries – which vary widely – to analyzing broader themes and topics.
The real question becomes: which areas is your site missing, and where should your content strategy focus?
To approximate relative volume, consider three approaches:
Correlate with SEO search volume
Start with your top-performing SEO keywords.
If a keyword drives organic traffic and has commercial intent, similar questions are likely being asked within LLMs. Use this as your baseline.
Layer in industry adoption of AI
Estimate what percentage of your target audience uses LLMs for research or purchasing decisions:
Apply these percentages to your existing SEO keyword volume. For example, a keyword with 25,000 monthly searches could translate to 1,250-6,250 LLM-based queries in your category.
Using emerging inferential tools
New platforms are beginning to track query data through API-level monitoring and machine learning models.
Accuracy isn’t perfect yet, but these tools are improving quickly. Expect major advancements in inferential LLM query modeling within the next year or two.
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Optimizing for LLM visibility
The technologies that help companies identify what to improve are evolving quickly.
While still imperfect, they’re beginning to form a framework that parallels early SEO development, where better tracking and data gradually turned intuition into science.
Optimization breaks down into two main questions:
Identify what content to create or update
One of the most effective ways to assess your current position is to take a representative sample of high-intent queries that people might ask an LLM and see how your brand shows up relative to competitors. This is where the Share of Voice tracking tools we discussed earlier become invaluable.
These same tools can help answer your optimization questions:
From this data, several key insights emerge:
Understand the overlap between SEO and LLM optimization
LLMs may be reshaping discovery, but SEO remains the foundation of digital visibility.
Across five competitive categories, brands ranking on Google’s first page appeared in ChatGPT answers 62% of the time – a clear but incomplete overlap between search and AI results.
That correlation isn’t accidental.
Many retrieval-augmented generation (RAG) systems pull data from search results and expand it with additional context.
The more often your content appears in those results, the more likely it is to be cited by LLMs.
Brands with the strongest share of voice in LLM responses are typically those that invested in SEO first.
Strong technical health, structured data, and authority signals remain the bedrock for AI visibility.
What this means for marketers:
Redefine on-page and off-page strategies for LLMs
Just as SEO has both on-page and off-page elements, LLM optimization follows the same logic – but with different tactics and priorities.
Off-page: The new link building
Most industries show a consistent pattern in the types of resources LLMs cite:
Citation patterns across ChatGPT, Gemini, Perplexity, and Google’s AI Overviews show consistent trends, though each engine favors different sources.
This means that traditional link acquisition strategies, guest posts, PR placements, or brand mentions in review content will likely evolve.
Instead of chasing links anywhere, brands should increasingly target:
The core principle holds: brands gain the most visibility by appearing in sources LLMs already trust – and identifying those sources requires consistent tracking.
On-page: What your own content reveals
The same technologies that analyze third-party mentions can also reveal which first-party assets, content on your own website, are being cited by LLMs.
This provides valuable insight into what type of content performs well in your space.
For example, these tools can identify:
From there, three key opportunities emerge:
Leverage emerging technologies to turn insights into action
The next major evolution in LLM optimization will likely come from tools that connect insight to action.
Early solutions already use vector embeddings of your website content to compare it against LLM queries and responses. This allows you to:
Current tools mostly generate outlines or recommendations.
The next frontier is automation – systems that turn data into actionable content aligned with business goals.
Timeline and expected results
While comprehensive LLM visibility typically builds over 6-12 months, early results can emerge faster than traditional SEO.
The advantage: LLMs can incorporate new content within days rather than waiting months for Google’s crawl and ranking cycles.
However, the fundamentals remain unchanged.
Quality content creation, securing third-party mentions, and building authority still require sustained effort and resources.
Think of LLM optimization as having a faster feedback loop than SEO, but requiring the same strategic commitment to content excellence and relationship building that has always driven digital visibility.
From SEO foundations to LLM visibility
LLM traffic remains small compared to traditional search, but it’s growing fast.
A major shift in resources would be premature, but ignoring LLMs would be shortsighted.
The smartest path is balance: maintain focus on SEO while layering in LLM strategies that address new ranking mechanisms.
Like early SEO, LLM optimization is still imperfect and experimental – but full of opportunity.
Brands that begin tracking citations, analyzing third-party mentions, and aligning SEO with LLM visibility now will gain a measurable advantage as these systems mature.
In short:
Approach LLM optimization as both research and brand-building.
Don’t abandon proven SEO fundamentals. Rather, extend them to how AI systems discover, interpret, and cite information.
Contributing authors are invited to create content for Search Engine Land and are chosen for their expertise and contribution to the search community. Our contributors work under the oversight of the editorial staff and contributions are checked for quality and relevance to our readers. Search Engine Land is owned by Semrush. Contributor was not asked to make any direct or indirect mentions of Semrush. The opinions they express are their own.
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Canva’s new ‘Creative Operating System’ is actually a marketing workspace – The Verge
/in AI Search, website SEO, Website Traffic/by Team ZYTPosts from this topic will be added to your daily email digest and your homepage feed.
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Canva is introducing new digital marketing and video-editing tools, built around what the company is calling a “world-first” design-focused AI model. These launches are part of an overhaul to the design platforms Visual Suite workplace products, which Canva describes as a “Creative Operating System” for marketing teams.
To be clear, this isn’t an operating system in the traditional sense. Canva is using the term as a collective reference for its various task-specific tools, the AI that powers them, and its wider platform interface. “We thought about a couple of different phrases and operating system just really resonated with us. It’s a true system of operations,” Canva co-founder Cameron Adams told The Verge. “It’s moved beyond just being an application layer, and it’s truly how you can run your entire creative process and workflows.”
With that confusion out of the way, here are some changes that users will actually notice. Canva has redesigned its video editor to make it easier to use without experienced editing skills, adding a new template library and a simplified timeline for trimming, syncing, and layering footage. Forms, a tool for collecting feedback similar to Google Forms, has also been added, allowing users to bring that data directly within Canva and automatically import it into Canva Sheets.
The company is going all-in on marketing tools, launching a new Canva Grow marketing platform that lets marketers design and launch ads, and track how they’re performing, using AI that “learns from performance data to make every campaign smarter and more effective over time.” A new Email Design product allows marketing teams to create and export branded email campaigns without coding or switching to dedicated email marketing platforms like Mailchimp.
These features are all powered by a new in-house AI model that has been specifically trained “to understand the complexity of design,” according to Canva. The company says its upgraded AI experiences — most of which are locked behind premium subscriptions — have now been deeply embedded into every part of the platform’s design process.
Canva has come a long way from being a web-based graphic design platform. While it’s certainly rooted in providing easy creative tools for marketers, most of its products now focus on providing alternatives to Google or Microsoft’s workplace apps. And because the experience is offered as an entirely unified service, paying users have no way of selectively picking the products they’ll actually use. I asked Adams if Canva was considering such a system, given backlash around using AI to justify hiking subscription prices, but he says the company has no current plans to do so.
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What RSI levels show for Serco Group plc (SEO) stock – 2025 Earnings Surprises & AI Powered Market Entry Strategies – Fundação Cultural do Pará
/in AI Search, website SEO, Website Traffic/by Team ZYTWhat RSI levels show for Serco Group plc (SEO) stock – 2025 Earnings Surprises & AI Powered Market Entry Strategies Fundação Cultural do Pará
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Accounting Firm Marketing Strategies: How SMBs Use Content & SEO For Visibility – USA Today
/in AI Search, website SEO, Website Traffic/by Team ZYTWritten by
Knoxville, Tennessee / Syndication Cloud / October 27, 2025 / MediaExpress
Key Takeaways:
The accounting industry’s competitive landscape has shifted dramatically. While large firms pour substantial resources into marketing campaigns, small accounting practices often feel overwhelmed by the challenge of competing for visibility and clients. However, the path to success doesn’t require matching their marketing budgets dollar for dollar.
Research reveals that high-growth accounting firms allocate approximately 2.1% of their revenue to marketing, excluding compensation costs. This represents double the 1% investment made by slower-growing firms. These high-growth practices achieve revenue growth rates up to seven times faster than their competitors, demonstrating the clear correlation between marketing investment and business expansion.
The disparity becomes even more pronounced when examining total marketing budgets. While large accounting firms can dedicate hundreds of thousands of dollars annually to advertising, branding, and lead generation, small firms typically operate with fraction of these resources. Many business advisors suggest that smaller accounting firms should allocate at least 5% of their revenue to marketing and sales to see meaningful growth, but the key lies in strategic deployment rather than raw spending power.
For small firm owners wondering how to bridge this gap, the solution isn’t about increasing spending to match larger competitors. Instead, it’s about using cost-effective strategies that deliver maximum impact.
A well-constructed website serves as the most cost-effective accounting marketing tool for lead generation and branding. Unlike expensive advertising campaigns that require ongoing investment, a professional website works around the clock to attract and convert potential clients. Modern websites equipped with contact forms, service descriptions, and client testimonials can generate leads while showcasing expertise and credibility.
The website should function as more than just an online brochure. Interactive features like tax calculators, downloadable guides, and appointment scheduling systems provide immediate value to visitors while capturing contact information for follow-up. Search engine optimization ensures the site appears when local businesses and individuals search for accounting services, creating a steady stream of qualified leads without ongoing advertising costs.
“Content marketing typically costs significantly less than traditional marketing while generating substantially more leads on average,” say the experts from MediaExpress, a marketing agency specializing in accounting firm visibility and traffic growth. “For accounting firms, this strategy involves creating valuable resources that address common client questions and concerns. Blog posts explaining tax law changes, video tutorials on bookkeeping basics, and downloadable checklists for small business owners establish expertise while attracting potential clients.”
The compound effect of content marketing provides long-term benefits that traditional advertising cannot match. Each piece of quality content continues attracting visitors and generating leads long after publication. Additionally, most marketers report increased brand awareness through content marketing efforts, making it a vital component of any competitive marketing strategy.
Local SEO optimization helps accounting firms dominate search results when potential clients search for services in their area. This strategy proves particularly effective for small firms competing against larger practices, as local search results often favor businesses with strong community connections and relevant local content.
Optimizing Google My Business listings, gathering client reviews, and creating location-specific content ensures visibility when prospects search for “accountant near me” or “[city] tax preparation services.” Local SEO requires minimal financial investment but demands consistent effort in maintaining accurate business information across online directories and engaging with customer reviews.
Email marketing provides a cost-effective method for boosting brand awareness and nurturing client relationships. Regular newsletters sharing tax tips, deadline reminders, and industry updates keep the firm top-of-mind throughout the year, not just during tax season. Segmented email campaigns allow personalized communication based on client types, such as small businesses versus individual taxpayers.
The direct communication channel that email provides proves invaluable for maintaining relationships with existing clients while nurturing prospects through the decision-making process. Automated email sequences can guide potential clients through educational content, gradually building trust and positioning the firm as the logical choice when they’re ready to engage professional services.
Small accounting firms often possess inherent agility advantages that large corporations cannot replicate, regardless of their marketing budgets. When new marketing trends emerge or market conditions shift, small firms can pivot immediately without navigating corporate bureaucracy, committee approvals, or lengthy decision-making processes that plague larger organizations.
This responsiveness allows small firms to test innovative marketing approaches, quickly abandon unsuccessful strategies, and double down on effective tactics. While large firms spend months analyzing and approving new marketing initiatives, small firms can implement, test, and refine their approach in real time based on actual results rather than theoretical projections.
The personal touch that small accounting firms provide creates competitive advantages that no marketing budget can purchase. Clients appreciate direct access to their accountant, personalized attention to their unique situations, and the flexibility to customize services based on individual needs. These relationship-based benefits generate powerful word-of-mouth marketing that often outperforms expensive advertising campaigns.
Customer service excellence becomes a significant differentiator when competing against larger firms with standardized processes and limited personalization. Small firms can remember client preferences, maintain ongoing relationships throughout the year, and provide the individual attention that builds lasting loyalty and generates referrals.
The collaborative, intimate work environment that small firms naturally foster creates both employee satisfaction and client benefits. Staff members can develop deeper expertise in specific areas and maintain closer relationships with clients, leading to better service quality and more personalized solutions.
This close-knit structure enables faster problem-solving, more creative solutions, and the ability to go above and beyond for clients in ways that corporate policies might prohibit at larger firms. The resulting client satisfaction and staff dedication create marketing advantages that extend far beyond paid advertising efforts.
Developing expertise in specific industries allows small accounting firms to differentiate themselves from general practice competitors while commanding premium rates. Rather than competing on price with large firms offering commoditized services, niche specialists become the go-to experts for particular business types or specialized accounting needs.
Industry specialization enables faster growth through focused marketing efforts and referral networks within specific business communities. Restaurants, medical practices, construction companies, and e-commerce businesses each have unique accounting needs that generalist firms often handle less effectively than specialists who understand industry-specific challenges and opportunities.
Firms that develop accounting niches grow at faster rates and effectively avoid price competition by positioning themselves as specialists rather than generalists. This expert positioning allows premium pricing while reducing competition, as clients prefer working with accountants who understand their specific industry challenges.
Niche expertise also creates natural marketing opportunities through industry associations, trade publications, and specialized networking events where the firm can establish thought leadership and generate high-quality referrals from within their target market.
Community involvement provides marketing benefits that extend far beyond traditional advertising reach. Sponsoring local business events, charity fundraisers, and community organizations builds brand recognition while demonstrating commitment to the local area. These activities generate positive associations and word-of-mouth recommendations that money cannot buy.
Volunteering for community causes creates networking opportunities with other local business owners and community leaders, often leading to referrals and business relationships. The goodwill generated through community involvement translates into marketing credibility that strengthens all other promotional efforts.
Small firms can implement creative local promotions and personalized offers that large corporate practices cannot easily replicate. Special rates for local business associations, referral incentives for existing clients, and community-specific services demonstrate flexibility and local commitment that resonates with area businesses and residents.
These localized approaches create competitive advantages by addressing specific community needs and building stronger connections with the local market. Large firms with standardized pricing and service offerings struggle to match this level of customization and local relevance.
Small accounting firms can compete effectively with larger competitors by strategically investing approximately 5% of revenue in marketing while focusing on high-impact, low-cost strategies. The key lies in consistent implementation rather than sporadic large investments, building marketing momentum through sustained effort across multiple channels.
Success comes from combining digital strategies like professional websites and content marketing with relationship-based approaches like community involvement and exceptional customer service. This integrated approach maximizes marketing effectiveness while playing to the natural strengths that small firms possess.
The most successful small accounting firms don’t try to outspend their larger competitors; they out-strategize them by using advantages that money cannot buy while implementing cost-effective digital and content marketing tactics that level the playing field. Consistent execution of these strategies creates sustainable competitive advantages that grow stronger over time.
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SEO professional fired as CEO bets on AI search, traffic drops 70% – PPC Land
/in AI Search, website SEO, Website Traffic/by Team ZYTCompany loses 70% of organic traffic in two months after dismissing SEO team based on misconceptions about AI search impact and traditional Google visibility.
An SEO professional reported their dismissal on October 27, 2025, after their CEO concluded that artificial intelligence was making traditional search engine optimization obsolete. The decision came despite 98% of the company’s traffic originating from Google. Within two months of the termination, the organization experienced a 70% decline in organic traffic.
According to Jake Ward, who shared the incident on social media platform X, the case demonstrates how executive misunderstanding of search technology can damage business performance. Ward, who operates Contact.so and has generated $20 million annually for clients, posted about the situation at 8:52 PM on October 27, attracting 7,557 views within hours.
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The fired professional, posting under the username BoomBrigade7 on Reddit’s SEO community six days before Ward’s post, provided additional context about the traffic collapse. The individual shared Google Search Console data showing dramatic visitor declines beginning in late August 2025. Traffic patterns revealed sustained performance through most of the year before plummeting to near-zero levels.
“SEO gets fired because CEO thinks AI is killing traditional search despite 98% of traffic coming from Google,” Ward wrote. “Traffic drops by -70% in 2 months. AI doesn’t kill traffic, bad decisions do.”
Multiple SEO professionals responding to the Reddit thread suggested the traffic decline stemmed from technical implementation errors rather than strategic decisions about AI optimization. Full-Penalty6971 noted that the timing aligned with recent Google algorithm changes affecting programmatic SEO and keyword stuffing practices across multiple websites.
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The dismissed professional clarified that management changed URLs for top-performing pages without implementing 301 redirects following their departure. “No, I checked, they straight up changed URLs of their top performing pages, no redirects,” BoomBrigade7 explained. “No Idea why they did that, but those pages just went to 0.”
This technical mistake eliminated rankings for pages that had previously generated approximately 70% of total site traffic through programmatic SEO methods. The pages had produced direct user signups, making them critical revenue drivers for the business model.
The incident occurred during a period when AI Overviews from Google reduced organic clicks by 34.5% when present in search results, according to July 2025 industry analysis. However, multiple tracking sources indicate traditional Google search continues to generate the vast majority of website referral traffic despite AI feature expansion.
Professional commentary on the situation split between those identifying algorithmic penalties and those recognizing operational failures. Ryan Monahan, responding to Ward’s post, stated: “If true, this sounds more like the site was penalized than a shift in strategy. That’s too dramatic a shift for organic to drop by that much, that fast.”
Technical SEO expert Brodie Clark addressed similar configuration mistakes in early October, noting that sites must submit individual sitemaps to Google Search Console rather than relying solely on sitemap index files. The guidance emphasized that missing technical implementations could severely impact indexing for large websites.
The case reflects broader confusion within executive leadership about the relationship between traditional SEO and emerging AI search platforms. The dismissed professional had explained to management that their pages were already appearing in ChatGPT search results, indicating that quality SEO work supports visibility across multiple discovery channels.
BoomBrigade7 described management’s decision-making: “Tried explaining, but LinkedIn crap got to him. They had already started seeing visits from ChatGPT. But didn’t agree.” The reference suggests the CEO had consumed promotional content about AI search optimization through professional social networks without understanding technical implementation requirements.
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Industry data from August 2025 shows that AI-focused optimization acronyms have proliferated throughout the year, with John Mueller from Google warning on August 14 that aggressive promotion of these frameworks may indicate spam tactics. Mueller specifically addressed GEO (Generative Engine Optimization), AIO (AI Optimization), and AEO (Answer Engine Optimization) terminology.
The confusion extends beyond individual companies. Google’s June 2025 core update affected websites globally, with ranking volatility beginning June 30 and continuing through mid-July. Temperature readings from Sistrix and Cognitive SEO tracking tools registered elevated fluctuation scores compared to typical daily patterns.
Traffic analysis from the fired professional’s Google Search Console account showed that their former employer maintained relatively stable performance through June and July 2025 before the August collapse. The data contradicted assumptions that algorithmic changes alone caused the decline.
Several Reddit commenters questioned how the individual retained access to client analytics after termination. BoomBrigade7 explained: “They had a common Gmail account with GSC and GA access that they shared with everyone. It was still logged in on my device, so I took a peek.”
This revelation prompted SEO professionals to emphasize security best practices. SEOVicc commented: “If you’re dumb enough to think ai optimization is a separate thing then you probably have a lot of people left in your accounts like that.”
The broader marketing implications center on executive understanding of search technology evolution. Traditional SEO techniques that improve content quality, technical performance, and topical authority continue to support visibility across both conventional search engines and AI-powered answer systems.
Research published in June 2025 by SEO consultant Aleyda Solis demonstrated that AI search engines retrieve content through similar mechanisms as traditional systems. The eight-point optimization framework emphasized chunk-level content retrieval, citation worthiness, and crawlability requirements that overlap substantially with established SEO practices.
Data from Brainlabs analysis in July 2025 found that 96% of links appearing in AI Overviews originated from websites ranking in the top 10 organic results. This correlation indicates that sites optimized for traditional search visibility automatically improve their chances of AI platform citations.
The financial consequences for the affected company remain unclear. BoomBrigade7 indicated they had moved on to other projects rather than seeking to restore the relationship. “How I wish, but dont want anything to do with them now. Will move on to next interesting project,” they stated.
Marketing professionals tracking the situation expressed concern about similar scenarios affecting other organizations. TopOfTheTown86 shared experiencing comparable executive misconceptions: “The CEO of our parent company told me in a meeting last week that ‘SEO is dead’ and genuinely seemed happy about it. Considering we are still getting about 130k users a month from search I think she is wrong.”
The case demonstrates particular relevance for companies employing programmatic SEO strategies. These approaches generate large volumes of optimized pages based on structured data and templates, particularly effective for e-commerce platforms, directories, and data-driven websites. However, programmatic methods require careful technical implementation to maintain search engine compliance.
Algorithmic penalties have affected programmatic SEO implementations throughout 2025. Sites hit by the September 2023 Helpful Content Update experienced their first recovery patterns during the June 2025 core update, nearly two years after initial impacts. Glenn Gabe documented recovery across 400 websites that had been severely affected by the original HCU implementation.
The incident gained additional attention because it contradicted prevailing narratives about AI search displacing traditional optimization. While Google Discover traffic has grown to represent two-thirds of referrals to news websites as of August 2025, organic search continues to generate substantial volumes for most commercial websites.
Industry observers noted that AI search traffic typically represents 2-10% of overall search referrals for most websites, though some B2C brands measure AI citations at 40-130% of their organic search traffic from Google Search Console when using specialized analytics platforms. The variance depends heavily on industry vertical and content type.
Professional SEO practitioners emphasized that recovery from technical mistakes like missing redirects requires immediate corrective action. Full-Penalty6971 summarized the redirect error: “Oof. No 301 redirects Rookie move. Fafo then I suppose!” The acronym referenced “find out” consequences following poor implementation decisions.
For the dismissed professional, competitor outreach appeared successful. “Yes sales team did that already! Got a few competitor calls lined up next week XD,” BoomBrigade7 reported, suggesting that demonstrated results attracted interest from rival organizations in the same market sector.
The situation reinforces findings from multiple 2025 industry studies showing that organic search optimization remains central to digital marketing strategies. According to January 2025 research, 72% of marketers planned to increase programmatic advertising investment, but this growth complemented rather than replaced organic visibility efforts.
Organizations navigating similar leadership concerns about AI search impact should focus on data-driven decision-making. Tracking actual traffic sources, conversion rates, and revenue attribution provides concrete evidence for the continued value of traditional search visibility alongside emerging AI platforms.
The case also highlights communication challenges between technical specialists and executive leadership. When CEOs consume trend-focused content through social media without corresponding technical context, misaligned strategic decisions can damage operational performance.
For the broader SEO community, the incident serves as a cautionary example about the consequences of abandoning established practices based on incomplete understanding of technological shifts. While AI search platforms continue expanding their reach and capabilities, the fundamental mechanisms of content discovery show substantial continuity with traditional search engine operations.
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Who: An SEO professional operating as a consultant with a small team was dismissed by their company’s CEO. Jake Ward, founder of Contact.so who generates $20 million annually for clients, shared the incident publicly. The dismissed professional posted under username BoomBrigade7 on Reddit’s SEO community. Industry professionals including Full-Penalty6971, Ryan Monahan, SEOVicc, and others provided technical analysis of the situation.
What: A company fired its SEO team based on the CEO’s belief that AI search was making traditional optimization obsolete, despite 98% of traffic originating from Google. Following the dismissal, management changed URLs for top-performing pages without implementing 301 redirects. The website experienced a 70% traffic decline over approximately two months, dropping from sustained performance levels to near-zero visitors. The pages that lost rankings had generated approximately 70% of site traffic through programmatic SEO methods and produced direct user signups.
When: The dismissal occurred before October 21, 2025, when the professional posted about the situation on Reddit. Jake Ward shared the case on October 27, 2025, at 8:52 PM. Traffic decline began in late August 2025 according to Google Search Console data, following months of stable performance through June and July. The situation developed during a period when Google’s June 2025 core update had concluded on July 17, and various algorithmic changes were affecting websites across multiple sectors.
Where: The incident occurred at a company whose specific identity was not disclosed in public posts. Traffic monitoring happened through Google Search Console, which the dismissed professional accessed via a shared Gmail account that remained logged into their device. The case gained visibility through social media platform X and Reddit’s r/SEO community forum. Industry discussion took place across multiple professional networks including LinkedIn, where the CEO reportedly consumed content about AI search trends.
Why: The CEO dismissed the SEO professional based on misconceptions that artificial intelligence was eliminating the need for traditional search optimization, influenced by promotional content on LinkedIn about AI search trends. The decision occurred despite data showing 98% of traffic came from Google and pages were already appearing in ChatGPT search results. After the dismissal, management implemented URL changes without proper technical implementation of 301 redirects, causing top-performing pages to lose all rankings. The traffic collapse resulted from operational mistakes rather than algorithmic penalties or fundamental shifts in search technology, demonstrating how executive misunderstanding of technical requirements can damage business performance.
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Best Klaviyo Alternatives with Advanced Automation Features – Technology Org
/in AI Search, website SEO, Website Traffic/by Team ZYTBest Klaviyo Alternatives with Advanced Automation Features Technology Org
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Adobe Express introduces AI assistant for conversational content creation – PPC Land
/in AI Search, website SEO, Website Traffic/by Team ZYTAdobe launches conversational AI assistant in Express on October 28, enabling creators to design and edit content through natural language interactions.
Adobe announced a new AI assistant within Adobe Express on October 28, 2025, during Adobe MAX in Los Angeles. The conversational interface enables users to generate and modify design elements through natural language commands. The beta release marks Adobe’s expansion of agentic AI capabilities beyond enterprise applications into its consumer-facing creative platform.
The AI assistant in Express operates differently from traditional template-based design tools. Users describe desired outcomes in plain language, and the system selects appropriate models, tools, and assets to execute edits. Someone requesting a “more tropical” aesthetic will see the assistant replace mountain imagery with foliage and flowers, surface saturation controls, and present color pickers with relevant tropical palettes. The system follows up with contextual suggestions such as font changes matching the new theme.
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“The new AI Assistant in Adobe Express is built to transform how you create,” said Govind Balakrishnan, senior vice president and general manager at Adobe Express. “It works with you, removing obstacles, speeding up processes and providing inspiration, so you create beyond-the-template content that represents your unique brand, business or vision.”
The technical architecture distinguishes the Express assistant from competing tools through layer-specific editing capabilities. Users can modify individual design elements—fonts, images, backgrounds—while preserving unchanged components. This approach differs from generative tools requiring complete regeneration when making adjustments. The assistant interprets ambiguous requests by drawing on Adobe’s content intelligence and creative best practices trained from professional designers.
Adobe surveyed 16,000 creators globally before the launch. The research found 81% had used generative AI experiences like Adobe Express to create content they could not have produced otherwise. More than 70% expressed interest in agentic AI capabilities to advance their creative work.
The platform supporting the AI assistant enables integrations with chatbot platforms, providing multiple access points for conversational creation. Adobe simultaneously introduced the Dev MCP Server for Adobe Express Add-ons, allowing developers to build features and integrations with conversational interfaces.
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Enterprise capabilities coming to the AI assistant include template locking, batch creation, and organizational controls. These features extend content supply chain management to broader workforces while maintaining brand consistency. Workday stated that non-designers will create professional visuals by describing requirements, making design more accessible without intimidating complexity.
Sakura Martin, global head of brand and design at dentsu, noted the enterprise approach provides confidence for employees lacking design experience while saving time for professional designers on routine tasks. Features including locked templates and approval processes enable self-service content creation within brand guidelines.
Moria Fredrickson, vice president of brand and digital transformation at Lumen, described the agent as transformative for marketers more comfortable with text. “It will allow us to unlock creativity in marketers that are more comfortable with text, giving them the power to develop fully finished, on-brand layouts rapidly without the need for design skills,” Fredrickson said.
The announcement follows Adobe’s September 10 launch of the Experience Platform Agent Orchestrator for enterprise marketing automation. That platform includes six specialized agents for audience management, journey optimization, and analytics. Over 70% of eligible Adobe Experience Platform customers already use the AI Assistant as the conversational interface for agent interactions.
Adobe’s approach to AI in Express draws on several technical foundations. The system orchestrates first-party and third-party models for specific tasks. Adobe Express includes professional-quality assets and creative tools designed for accessibility. The assistant applies creative workflows understanding composition, color harmonization, and font selection based on training from professional creatives. Content expertise embedded in the system determines which visual assets drive engagement.
The Express platform targets a broader user base than Adobe’s professional Creative Cloud applications. Adobe’s marketing organization tested AI visibility optimization on its own properties, achieving fivefold citation increases for Adobe Firefly and 200% visibility gains for Adobe Acrobat compared to competitors.
The AI assistant beta launches on desktop for Adobe Express Premium subscribers. General availability will extend access to all Express customers through the Firefly generative credit system. Additional credit packs will be available for purchase to enable more generative creation.
The release timing aligns with broader enterprise AI developments from Adobe. The company announced B2B-specific agents on October 9, including Audience Agent, Journey Agent, and Data Insights Agent for complex purchasing cycles. Cisco has been testing these agents across sales and marketing operations.
Adobe maintains what it describes as the most creator-friendly approach to AI in the industry. The company positions AI as a tool for rather than replacement of human creativity, emphasizing respect for creator rights in developing generative AI capabilities. The company’s generative AI development starts with intellectual property considerations for content creators.
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The conversational creation model in Express differs from standalone generative tools by maintaining integration with Adobe’s editing capabilities. Users can switch between natural language interaction with the assistant and manual adjustments using sliders and color selectors. This hybrid approach provides flexibility for users wanting precise control over specific elements while benefiting from AI-assisted generation for others.
Adobe’s emphasis on template evolution rather than template limitation addresses a common constraint in accessible design tools. Templates provide starting points, but rigid template structures can limit creative expression. The AI assistant transforms templates into dynamic foundations where any element can be modified through conversation, removing technical barriers while preserving design quality.
The platform’s understanding of design principles enables the assistant to maintain aesthetic coherence when executing changes. Adjusting one element triggers related modifications maintaining visual harmony. Changing a color scheme prompts the system to suggest complementary font adjustments and image treatments. This contextual awareness differentiates the Express assistant from tools executing commands literally without considering broader design implications.
Adobe’s consumer-facing AI assistant represents an extension of conversational interfaces the company has deployed across its product portfolio. Experience Cloud received AI content optimization features on September 16, 2024, enabling attribute-level performance insights and real-time experimentation. The AI Assistant Content Accelerator in Journey Optimizer generates on-brand assets optimized for target audiences.
The market for accessible creative tools has expanded as organizations require more content across channels. Traditional content supply chains struggle to meet volume demands while maintaining quality and brand consistency. Conversational interfaces lower barriers for content creation by removing technical learning curves, though they introduce new considerations around output quality and brand alignment.
The enterprise features planned for Express address organizational concerns about distributed content creation. Template locking prevents modifications to protected brand elements while allowing flexibility in permitted areas. Batch creation enables scaling production for campaigns requiring numerous variations. Approval workflows ensure content meets standards before publication. These controls balance accessibility with governance, enabling broader participation in content creation without sacrificing oversight.
Adobe’s positioning of Express as a conversational canvas reflects broader industry movement toward natural language interfaces for complex applications. The approach assumes users can articulate desired outcomes more easily than they can execute technical procedures to achieve them. Translation from intent to execution becomes the system’s responsibility rather than the user’s technical challenge.
The announcement’s timing during Adobe MAX places the Express assistant within a broader ecosystem of AI-powered creative tools Adobe introduced at the conference. The company positioned the release alongside updates to Photoshop, Lightroom, Premiere, and Illustrator, emphasizing AI integration across professional and accessible creative applications. This strategy addresses different skill levels and use cases while maintaining consistent AI capabilities across the portfolio.
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Who: Adobe, led by Govind Balakrishnan, senior vice president and general manager of Adobe Express, targeting creators of all skill levels and enterprise organizations including Workday, dentsu, and Lumen.
What: Launch of AI Assistant beta in Adobe Express featuring conversational content creation and editing, layer-specific modifications, integration with chatbot platforms, and planned enterprise features including template locking and batch creation.
When: Announced October 28, 2025, during Adobe MAX in Los Angeles. Beta available immediately for Premium subscribers with general availability planned through Firefly credit system.
Where: Adobe MAX conference in Los Angeles. Platform available on desktop initially with enterprise capabilities coming in subsequent months across Adobe’s global customer base.
Why: Adobe survey of 16,000 creators found 81% used generative AI to create content they otherwise could not produce. More than 70% expressed interest in agentic AI for advancing creativity. Organizations face content volume demands exceeding production capacity while requiring brand consistency and quality control. The AI assistant addresses these challenges by lowering technical barriers through conversational interfaces while maintaining professional output quality through Adobe’s creative intelligence and integrated editing tools.
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Mondelez Turns to Generative AI to Cut Marketing Costs by Up to 50% – TradingView
/in AI Search, website SEO, Website Traffic/by Team ZYTMondelez (MDLZ, Financials),The company that makes Oreo and Cadbury is using generative AI to change the way it makes advertising and other digital marketing materials. The company said that the new AI tool, which was built with help from Publicis Groupe and Accenture, may lower production costs by as much as 50%.
Jon Halvorson, global senior vice president of consumer experience, said Mondelez has invested more than $40 million in developing the system, which it hopes will eventually produce ready-to-air video ads. The first TV spots could arrive by the 2026 holiday season and may be used in the 2027 Super Bowl.
The company has already deployed the technology for online marketing, including Chips Ahoy promotions in the U.S. and Milka chocolate in Germany. One Milka campaign uses AI-generated visuals that adapt to different audiences, replacing costly animations that can run into hundreds of thousands of dollars.
Mondelez plans to extend the rollout to Oreo and Lacta in Brazil and Cadbury in the UK later this year. The tool will also support U.S. product pages for Oreo on Amazon and Walmart beginning in November.
Mondelez claimed it is not employing computerized human likenesses in its ads, even though competitors like Kraft Heinz and Coca-Cola are trying out AI in their ads. Employees will keep checking all AI-generated content to make sure it follows business rules that say you can't show bad behaviors or stereotypes.
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Advantage Media Partners introduces AI into the SEO and Marketing Program – FinancialContent
/in AI Search, website SEO, Website Traffic/by Team ZYTAdvantage Media Partners, a Beaverton-based digital marketing agency, announces AI-powered enhancements to its SEO and marketing programs. Combining 15+ years of Google Partner expertise with advanced AI, the firm helps clients boost visibility across traditional search and emerging AI-driven discovery platforms.
Beaverton, OR, October 27, 2025 — Advantage Media Partners, a Beaverton digital marketing company, has announced the addition of new AI-powered services to the search engine optimization and marketing programs. Utilizing the increasingly sophisticated power of artificial intelligence, with the insights they have developed in their 15+ years as Certified Google Partners, they aim to help clients maintain and improve their visibility and reach in an online landscape where AI is becoming used more and more to navigate the internet.
Aside from using AI to further improve their marketing, advertising, and other services, Advantage Media Partners has begun providing services that address the growing share of internet traffic that is guided by AI, as well. More potential customers online are using AI-search results from tools like ChatGPT and Google’s AI Overview, meaning that websites that get picked up and featured by AI tools are more likely to pull in traffic from those sources, as well.
As such, Advantage Media Partners has incorporated AI as part of their SEO services, as part of a practice becoming known as GEO (or generative engine optimization). This is a new approach that optimizes websites and content so that they are more likely to be picked up by AI-driven tools, such as the aforementioned ChatGPT and Google’s AI Overview.
AI-driven insights are also becoming a larger part of the general services offered within their SEO package, as well. For instance, they are now using AI to optimize their title and description tag generation process, ensuring that website text features more in search engine results. They are also combining AI with Google Analytics Installation & Setup, using it to track the results of their marketing efforts in real time, as well as Google Search Console Setup & Installation, to generate SEO insights. AI is also being used in schema markup services to improve SEO and file optimization to work directly with AI crawlers (such as those used by ChatGPT) to improve how AI-driven sites and search tools can use data on the client’s website.
Driven by 15+ years of experience and hands-on work, the team at Advantage Media Partners understands that the role of AI is not to replace the insight of real humans, who can apply the human context to any strategy, but rather to enhance it. They aim to do that with their new AI-driven SEO and marketing services.
For more information about Advantage Media Partners, use the contact details below:
Contact Info:
Name: Advantage Media Partners
Email: Send Email
Organization: Advantage Media Partners
Address: Beaverton, OR
Phone: 888-475-7532
Website: https://advantagemediapartners.com/
Release ID: 89173645
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