New SEO audit framework measures brand accuracy, authority, and visibility across leading AI search and generative platforms
Seattle-Tacoma, WA, Washington, United States, November 20, 2025 — SEO.co, a leader in enterprise search engine optimization and digital growth strategy, today announced a major expansion of its SEO audit services to include a comprehensive suite of AI and Large Language Model (LLM) Visibility Audits. This new framework is designed to help companies understand exactly how they are represented, referenced, and ranked inside the world’s most influential AI-driven platforms—including ChatGPT, Gemini, Claude, Copilot, Perplexity, and emerging models shaping the future of search.
“AI-driven search is no longer optional—it’s foundational,” said Nate Nead, CEO of SEO.co. “Every brand is already being indexed, interpreted, and summarized by LLMs, whether they’re aware of it or not. Our role is to ensure the information being generated about them is accurate, trustworthy, and competitive. This expansion represents the biggest shift in SEO since the rise of mobile search.”
AI is Reshaping How Consumers Discover Brands
Consumers and decision-makers now rely heavily on AI systems to research, compare, and validate products and services. Unlike traditional search results, these systems generate direct, authoritative answers, creating both unprecedented opportunity—and significant risk—for companies.
Generative AI tools may:
“The companies winning today aren’t just optimizing for Google,” said Timothy Carter, Chief Revenue Officer at SEO.co. “They’re optimizing for every system that influences buying decisions. AI models now sit upstream from the customer journey, shaping perception before a prospect ever reaches your website. Our expanded audit gives clients the intelligence they need to correct misrepresentations, improve recommendations, and strengthen authority across AI-powered platforms.”
Inside the Expanded SEO.co AI & LLM Visibility Audit
SEO.co’s audit expansion introduces a highly detailed evaluation of brand presence across generative AI systems. Key components include:
AI Mention Frequency Analysis
How often a brand is mentioned or recommended across the major AI tools, and how mention share compares to competitors.
Brand Accuracy & Risk Review
A systematic check for factual correctness regarding services, pricing, locations, leadership, policies, compliance statements, and industry positioning.
Competitive Recommendation Benchmarking
Identifies which competitors AI platforms recommend instead—and why.
LLM Training Data Footprint Assessment
Analyzes the strength and depth of a brand’s representation across public sources commonly used in model training, including news websites, publisher networks, knowledge bases, and open data repositories.
E-E-A-T & Entity Optimization Audit
Evaluates structured data, schema markup, entity relationships, knowledge graph visibility, and authority signals that influence AI-generated content.
AI Safety & Hallucination Exposure Testing
Pinpoints where AI models are hallucinating or providing misleading or damaging brand statements.
Remediation & Optimization Roadmap
A detailed, prioritized plan to enhance AI visibility, improve accuracy, increase citation frequency, and strengthen LLM trust signals.
Why This Matters to Modern Marketing Teams
With the rapid adoption of AI assistants—whether embedded in mobile devices, browsers, search engines, or enterprise software—brands must now “optimize for AI” with the same rigor they once applied to traditional SEO.
“AI visibility is now a core pillar of digital marketing,” said Samuel Edwards, Chief Marketing Officer at SEO.co. “If an AI system misrepresents your brand—or worse, doesn’t know your brand exists—customer trust erodes instantly. Marketers now have to manage not just their search presence, but their AI presence. Our enhanced audit suite empowers teams to take control of their brand narrative across platforms used by millions of consumers every day.”
This shift is especially significant for industries where trust, accuracy, and expertise are foundational to decision-making, including:
SEO.co’s expanded audits give these organizations the visibility and insights required to correct misinformation, reinforce authority, and capture competitive advantage across AI-driven discovery channels.
Availability and Implementation
The expanded AI & LLM Visibility Audit offerings are available immediately to:
SEO.co also provides optional monitoring to track how a brand’s AI presence evolves over time as models update, retrain, and incorporate new public datasets.
About SEO.co
SEO.co is an industry-leading digital marketing firm specializing in advanced SEO strategy, enterprise content development, technical optimization, link acquisition, and audit-based performance improvement, including LLM SEO services. Since 2009, the firm has helped Fortune 500 companies, mid-market organizations, and high-growth startups accelerate search performance and digital visibility. SEO.co also offers an expanding suite of SEO tools and white-label solutions deployed by agencies worldwide.
Contact Info:
Name: Samuel Edwards
Email: Send Email
Organization: PR Digital
Website: https://pr.digital

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In the rapidly evolving landscape of digital search, a seismic shift is underway as artificial intelligence reshapes how brands connect with consumers. What was once dominated by search engine optimization (SEO) is now giving way to new acronyms like GEO (generative engine optimization) and ASO (AI search optimization), signaling a fundamental change in brand visibility strategies. According to recent research from Search Engine Land, a survey of 2,000 consumers revealed that 82% find AI-powered search more helpful than traditional methods, highlighting the urgency for marketers to adapt.
This transformation is driven by the rise of generative AI tools like ChatGPT, Perplexity, and Claude, which are not just answering queries but synthesizing information in conversational formats. Brands that once optimized for Google’s top rankings now face a world where visibility hinges on being cited or recommended by AI models. The same Search Engine Land study, conducted in collaboration with Fractl, analyzed search trends, hiring data, and consumer behavior to map this new terrain.
Hiring patterns underscore the shift: job postings for GEO-related roles have surged 300% in the past year, per LinkedIn data cited in the report. Meanwhile, traditional SEO jobs are plateauing, suggesting that companies are pivoting toward strategies that ensure their content is ingested and prioritized by large language models (LLMs).
The Rise of Generative Engines
The core challenge lies in how AI search differs from traditional engines. Unlike Google’s algorithm, which ranks pages based on relevance and authority, generative engines produce synthesized responses, often pulling from multiple sources without direct links. This creates what experts call the “AI visibility gap,” where brands risk invisibility if not optimized for these systems.
Posts on X (formerly Twitter) from influencers like a16z reflect this sentiment, with viral threads declaring “SEO is slowly losing its dominance. Welcome to GEO.” Such discussions emphasize that it’s no longer about gaming algorithms but about being inherently cite-worthy in AI conversations.
Business Insider’s recent coverage, in an article titled “AI Search Reshapes SEO, Fueling GEO Gold Rush,” notes that tech giants are debating the efficacy of these strategies. The piece highlights how AI is fueling a new industry, with estimates that generative search could impact $750 billion in revenue by 2028, according to McKinsey & Company.
Consumer Preferences Driving Change
Consumer data paints a clear picture: 60% of respondents in the Search Engine Land survey use AI search tools weekly, preferring them for their speed and contextual depth. This preference is fracturing search behavior across platforms, from social media to AI chatbots, as outlined in a PYMNTS.com report on transitioning from SEO to GEO.
For brands, this means combining traditional tactics with new ones, such as creating authoritative, quotable content that AI models favor. Stan Ventures’ study reveals that 90% of businesses fear losing organic visibility due to AI, pushing them toward GEO practices like optimizing for semantic relevance and entity recognition.
On X, marketers share practical tips, such as using “mega prompts” to test brand recommendations in AI tools, echoing the need for proactive adaptation. These grassroots insights align with formal research, showing a consensus that ignoring GEO could lead to obsolescence.
Terminology Wars: SEO, GEO, or ASO?
The debate over terminology—SEO, GEO, or ASO—reflects deeper uncertainties in the field. Search Engine Land’s analysis suggests GEO is gaining traction, appearing in 15% more job listings than ASO, based on hiring data from Indeed and Glassdoor. Yet, some argue ASO better captures the AI-specific focus, akin to app store optimization.
A CFO Tech Asia article posits a “dual-engine model” for 2026, merging SEO and GEO to build digital authority. This hybrid approach is echoed in Analytics Insight’s piece on AI-driven local SEO, which emphasizes personalized content and predictive analytics for regional markets.
Industry insiders, as per DesignRush’s SEO news update, are grappling with Google’s AI tools and emerging threats like spam attacks, further complicating the landscape. The update highlights how YouTube’s dominance in video search intersects with AI, urging brands to diversify beyond text.
Strategies for AI-Era Visibility
To thrive, brands must adopt multifaceted strategies. Innermedia’s guide to “AI Ready SEO” recommends auditing content for AI compatibility, focusing on structured data and natural language processing. Tools like Rank Prompt and Profound, ranked in Anderson Collaborative’s list of best AI SEO tools for 2025, enable tracking visibility across LLMs.
McKinsey’s report on the “new front door to the internet” warns that half of consumers already use AI search, projecting massive revenue shifts. Brands like those in e-commerce are experimenting with GEO by embedding unique value propositions that AI can easily reference.
X posts from users like Connor Gillivan stress shifting from content volume to AI-engineered relevance, such as using automation for personalized experiences. This aligns with SEO.com’s statistics, showing widespread AI adoption in optimization, from keyword research to performance prediction.
Challenges and Opportunities Ahead
Despite the promise, challenges abound. Ethical concerns arise with AI hallucinations, where inaccurate citations could harm brand reputation. Business Insider notes debates among experts on GEO’s long-term effectiveness, with some viewing it as a temporary gold rush.
Regulatory pressures may also shape the field, as governments scrutinize AI’s impact on information accuracy. A recent X thread by Search Engine Land promotes ongoing research, underscoring the need for continuous adaptation.
Opportunities lie in innovation: PYMNTS.com suggests integrating GEO with social search, creating ecosystems where brands appear in AI-generated conversations naturally. For instance, leveraging user-generated content can boost citability, as seen in successful case studies from Fractl’s survey.
The Evolving Role of Data and Tools
Data-driven insights are crucial. SEO.com’s 2025 statistics reveal that 70% of marketers use AI for content creation, but only 40% optimize for generative engines, indicating a gap ripe for exploitation.
Avatria’s blog on GEO emphasizes its role in making brands part of AI dialogues, beyond mere answers. Addlly AI’s X post outlines how SEO, AEO (answer engine optimization), and GEO form a triad for future-proofing visibility.
Emerging tools, as per Anderson Collaborative, include AI platforms that simulate LLM responses, allowing brands to refine strategies iteratively. This tech-forward approach is vital as search fractures across devices and platforms.
Brand Case Studies and Future Outlook
Real-world examples illustrate GEO’s impact. A consumer goods brand cited in Search Engine Land’s research increased AI mentions by 45% through authoritative whitepapers, demonstrating tangible ROI.
Looking ahead, experts predict GEO will evolve into more sophisticated forms, incorporating voice and visual search. McKinsey forecasts that by 2028, AI could handle 30% of all queries, reshaping $750 billion in market value.
For industry insiders, the message is clear: embrace this new era or risk fading into digital obscurity. As AI continues to redefine discovery, brands that master GEO and its variants will lead the pack, turning algorithmic challenges into competitive advantages.
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Google continues to test ads in AI Mode results (update) (GOOGL:NASDAQ)  Seeking Alpha
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As artificial intelligence continues to transform the landscape of search optimization, businesses are discovering new ways to connect with regional audiences. In 2025, the intersection of AI tools and local SEO is unlocking opportunities for brands to stand out in competitive markets, offering tailored approaches that drive measurable growth and engagement.
AI-powered platforms are now essential for businesses aiming to improve their presence in specific regions. These tools analyze search patterns, competitor tactics, and consumer intent with remarkable precision. For example, companies operating in Florida’s vibrant sports entertainment sector can leverage AI-driven keyword research to identify niche opportunities. By focusing on industry-specific terms such as sports betting florida, marketers can craft content that resonates with local audiences and meets the unique demands of their market. This targeted approach not only boosts visibility but also enhances relevance, helping businesses connect authentically with potential customers.
Personalization is at the heart of successful regional marketing. AI tools enable brands to segment audiences based on location, preferences, and behavior, ensuring that messaging feels timely and relevant. For instance, sports organizations in Florida can tailor their outreach to reflect local interests, using real-time data to adjust campaigns as trends shift. This level of customization fosters stronger engagement and encourages repeat interactions, as audiences receive information that aligns with their passions and needs. The integration of AI in business analytics is revolutionizing the way companies make decisions, enabling them to extract actionable insights from vast amounts of data in real time through solutions like AI in Business Analytics.
Predictive analytics are becoming a revolution for regional marketing plans. Using consumer behavior modeling and demand forecasting, companies can preempt changes in local markets and take measures accordingly. In sports, which is not static in Florida, predictive statistics are used to know fan behavior, to promote events efficiently, and to manage resources in the best way possible. This approach, which is entirely based on data, eliminates the need for guessing and ensures the highest return on investment. It also enables the brands to be in the leading position of course, but at the same time to provide the community with value. 
The development of AI-based SEO is going to raise the bar for regional marketing in the year 2025. Through the use of sophisticated analytics, unique content, and forecasting insights, companies will be able to confidently handle the difficult aspects of the local markets. It will be the case that the companies using AI strategical approach will be the ones that will win the race for attracting, keeping and growing their customer base in the areas of their choice as the tech gets better and better.
Analytics Insight is an award-winning tech news publication that delivers in-depth insights into the major technology trends that impact the markets. The content produced on this website is for educational purposes only and does not constitute investment advice or recommendation. Always conduct your own research or check with certified experts before investing, and be prepared for potential losses. Opinions expressed herein are those of the authors and not necessarily those of Analytics Insight, or any of its affiliates, officers or directors. © Analytics Insight 2025. All rights reserved.

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