How to Improve My Google Ranking in 2025? Complete SEO Guide – newsblaze.com

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SEO in 2025 requires an advanced approach that combines new technologies with proven fundamental principles. The SEO world has changed dramatically with the integration of artificial intelligence in search engines, and websites need to adapt themselves to this new reality. Over 60% of searches are now performed on mobile devices, and speed and experience have become more critical than ever. This guide presents ten essential steps that will help any website achieve higher rankings and maximize its online visibility.
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Loading speed has become a critical factor in search engine rankings, with Google now requiring loading times under 2.5 seconds for the main page. The new algorithms place significant weight on Core Web Vitals, which include metrics like Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS).
Technical optimization includes compressing images in advanced formats like WebP and AVIF, using fast CDNs, and minifying CSS and JavaScript files. It’s also advisable to implement lazy loading for images and remove unnecessary plugins that slow down performance. Regular speed tests are essential for tracking improvements and identifying new issues.
Google has completely transitioned to Mobile-First Indexing, meaning the mobile version of the website is the basis for ranking. This means responsive design is no longer enough – the website must be ideally optimized for mobile devices. Content, navigation, and functionality must work perfectly on small screens.
It’s recommended to use Progressive Web App (PWA) design that enables a user experience similar to a native application. All buttons must be large enough for finger tapping, text readable without zooming, and menus easily accessible. Testing with Google Mobile-Friendly Test can identify specific issues that require fixing.
Quality content in 2025 must answer users’ real search intentions and provide tangible value. Google prefers original, in-depth content based on real expertise. Text length should be adapted to the topic – comprehensive articles of 1,500-3,000 words for complex subjects, and shorter content for simple queries.
Integration of natural keywords, use of structured headings (H1-H6), and adding relevant images improve readability and ranking. It’s important to write in simple, understandable language, use short paragraphs, and add lists and tables when appropriate. Regular updating of existing content shows Google that the website is active and relevant.
Advanced keyword research begins with understanding different search intentions: informational, navigational, and transactional. Tools like Google Keyword Planner, Ahrefs, and SEMrush provide data on search volume and competitiveness, but it’s also important to research related queries and trend predictions.
Long-tail keywords with lower volume often bring higher quality traffic and better conversion rates. It’s also worth researching queries asked to artificial intelligence and finding opportunities in less competitive niche areas. Analyzing competitor websites can reveal new keywords and identify content gaps.
Building quality links remains one of the most important ranking factors, but the emphasis has shifted to quality over quantity. Links from high-authority websites in the relevant field are worth much more than many links from negligible sites. Google identifies and penalizes manipulative techniques like purchased links or artificial link networks.
The best strategy is creating quality content that people want to link to naturally, participating in professional communities, and publishing expert opinions in relevant forums. Collaborations with bloggers and news sites, writing quality guest articles, and creating interesting infographics can generate natural links and quality backlinks.
Local SEO has become essential for businesses with physical presence, with over 45% of searches including local intent. Registering and constantly updating a Google Business Profile is the first and most important step. Quality photos, accurate opening hours, phone number, and all relevant business information should be added.
Collecting positive customer reviews and professionally responding to negative reviews improve reputation and ranking. It’s important to ensure business details (name, address, phone) are identical everywhere online – company website, local directories, and social networks. Integrating local keywords into website content and creating dedicated pages for each branch or service area expand local visibility.
Schema Markup is structured code that explains to search engines the exact meaning of website content. Using it can lead to enhanced display in search results (Rich Snippets) and improved ranking. Popular Schema types include Local Business, Article, Product, Review, FAQ, and How-to.
Implementation can be done using JSON-LD (recommended by Google), Microdata, or RDFa. Testing tools like Google’s Rich Results Test allow verification that the code is written correctly and recognized by Google. More advanced Schema can include information about events, recipes, reviews, and products, significantly improving exposure in search results.
Good website architecture makes it easier for Google to crawl and understand content, and for users to find the information they need. The structure should be hierarchical and clear, with home pages leading to main categories, and from them to subcategories and specific pages. Website depth shouldn’t exceed more than 3-4 clicks from the homepage.
Strategic internal links strengthen the authority of important pages and distribute it throughout the site. Intuitive navigation menu, clear breadcrumbs, and quality internal search engine improve user experience. An updated XML sitemap helps search engines identify new and updated pages quickly.
Tracking SEO performance requires using advanced tools like Google Analytics, Google Search Console, and Google Tag Manager. Important data for analysis includes organic traffic, keyword rankings, conversion rates, and Core Web Vitals. Google Search Console provides valuable information about crawl errors, indexing issues, and queries bringing traffic.
Analyzing user behavior on the site helps identify high or low-performing pages and understand what can be improved. Tracking metrics like time on site, bounce rate, and pages viewed per visit provides important insights for future optimization. Setting up goals and conversions in Analytics allows measuring the real economic impact of SEO efforts.
Proper investment in SEO in 2025 can bring exceptional results, but it requires a professional and knowledgeable approach. The digital world has become more complex, and consumers expect a fast, relevant, and quality experience. Websites implementing the principles presented in this guide will not only maintain high rankings but also strengthen their position against competition and attract higher quality target audiences. Investment in organic SEO brings long-term results and stability that paid advertising cannot provide.
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Google's Android Earthquake Alerts System Failed to Warn Millions – Android Headlines

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Android Headlines / Android News / Google’s Android Earthquake Alerts System Failed to Warn Millions
Google has finally acknowledged that Android’s earthquake detection system failed to alert millions of people during Turkey’s 2023 earthquake. The system sent out around 500,000 lower-level “Be Aware” warnings during the incident, when it could have warned approximately 10 million people within the range of the earthquake’s epicenter.
Google has reportedly admitted that Android’s earthquake alert system failed to warn millions of people during Turkey’s devastating earthquake of 2023. Speaking to the BBC, Google said that its early earthquake warning system partially failed. The system that leverages the sensors in Android phones to detect the early signs of an earthquake issued only lower-level notifications to users. It could have warned millions more people, saving lives during the deadly Turkey earthquake in 2023.
As per the source, Google’s earthquake detection feature on Android devices sent out around 500,000 lower-level “Be Aware” alerts during Turkey’s deadly earthquake in 2023. The system aimed its alerts at less intensive shaking. It could have warned approximately 10 million people within 158 kilometers (98 miles) of the earthquake’s epicenter.
If the system worked as intended, it could have provided a crucial 10 to 35-second headstart for people to get to safety. However, the feature only sent critical alerts to just 469 individuals in the earthquake area. The search titan previously told the BBC the system had “performed well” after an investigation in 2023. The company has now admitted that the system failed during the incident.
In a candid admission, the company’s own research analysis suggests that the Android Earthquake Alerts (AEA) system registered the quake between a magnitude of 4.5 and 4.9 on the Richter scale. It was far below the actual 7.8 magnitude levels of the earthquake in Turkey in 2023.
In recent findings published in Science magazine, the company mentioned that “limitations to the detection algorithms” caused the AEA system to fail. The company recalibrated this algorithm after the Turkey earthquake and simulated the quake. The system then triggered the correct alerts.
Google maintains that the AEA system is supplementary to national warning networks and that it continuously improves the algorithms based on insights from all seismic events. However, experts have raised concerns regarding the delay in the company’s public admission of this critical problem.
The system could have alerted more people during Turkey’s 2023 earthquake, which claimed over 55,000 lives and injured more than 100,000. A few seconds may not seem like much, but in such events, those seconds can make the difference between safety and injury.
Copyright ©2025 Android Headlines. All Rights Reserved.
Akshay Kumar is a veteran tech journalist with an interest in everything digital, space, and nature. Passionate about gadgets, he has previously contributed to several esteemed tech publications like 91mobiles, PriceBaba, and Gizbot. Whenever he is not destroying the keyboard writing articles, you can find him playing competitive multiplayer games like Counter-Strike and Call of Duty.
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One UI updates could arrive faster after Samsung follows Google's lead – Android Police

One UI updates could arrive faster after Samsung follows Google’s lead  Android Police
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WSIMLogiX Unlocks Higher Rankings with Custom SEO Services – FinancialContent

Danville, California – July 25, 2025 – WSIMLogiX is helping businesses climb search engine rankings with its custom-tailored SEO services. As a results-focused Bay Area SEO company, WSIMLogiX combines strategic insight, technical expertise, and industry knowledge to drive measurable growth for businesses across industries.
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The company’s SEO services focus on core performance metrics, which includes visibility, traffic, and conversions. With strategies such as in-depth keyword research, on-page optimization, local SEO, technical audits and more, WSIMLogiX builds campaigns around each client’s business goals. This approach enables businesses to capture more qualified leads and outperform competitors.
“Our SEO strategy begins with a clear understanding of the client’s market and audience. We don’t apply one-size-fits-all tactics. We analyze how users engage with the site, what competitors are doing, and what technical factors need attention. Then we create a path forward that supports long-term growth. Many clients come to us after seeing limited success with generic solutions and we give them data-driven SEO that performs,” a spokesperson for the company said.
WSIMLogiX provides a full range of digital marketing services, including Bay Area PPC management and website design in Bay Area. Clients also benefit from offerings such as ADA-compliant website development, social media marketing, and email campaigns that increase reach and engagement. The company has evolved to become a preferred Google Ads agency in Bay Area.
The company brings over 15 years of cross-functional expertise in technology, analytics, and marketing to deliver digital strategies that drive measurable growth. They specialize in crafting targeted marketing blueprints that align with one’s audience, budget, and timeline. Their team of experts spans software, sales, and business development, serving key sectors like healthcare, finance, QSR, and education.
The team at WSIMLogiX consists of experienced SEO experts in San Francisco Bay Area that businesses trust for transparent communication and consistent results. Each client receives a dedicated account manager and a custom strategy tailored to their specific needs and market conditions.
“WSIMLogiX is built on the belief that great SEO is about aligning search intent with business intent. We help clients claim top positions on Google by fixing the right issues, building authority through content and links, and using smart reporting to track progress. Our clients know exactly what we’re doing and why it matters,” said the spokesperson.
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WSIMLogix provides digital marketing strategies to businesses to significantly grow their market share and increase brand awareness. To know more, visit https://wsimlogix.com/
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Google Updates Android Terminal to Run Graphical Linux Apps on Pixels – WebProNews

In a move that bridges the gap between mobile operating systems and traditional computing, Google has rolled out an update to Android’s Terminal app, enabling users to run full-fledged graphical Linux applications directly on their devices. This development, detailed in a recent report by Android Authority, marks a significant evolution in Android’s capabilities, allowing for everything from productivity tools to classic games like Doom to operate within a virtualized Linux environment. The update leverages a Debian-based virtual machine, transforming smartphones into more versatile computing platforms without the need for external hardware.
For industry insiders, this isn’t just a novelty; it’s a strategic enhancement that could reshape how developers approach Android app ecosystems. By integrating graphical support into the Terminal—previously limited to command-line interactions—Google is effectively expanding Android’s utility for power users and software engineers who require Linux-native tools on the go.
Unlocking Graphical Potential in Mobile Linux
The core of this update lies in its use of Wayland for display rendering, as explained in the Android Authority piece, which allows graphical apps to run seamlessly alongside Android’s interface. Early demonstrations, including running the iconic first-person shooter Doom, highlight the feature’s robustness, with smooth performance on high-end devices like Google’s Pixel series. This builds on prior iterations where the Terminal app, first spotted in development back in 2024, was confined to text-based operations.
Accessibility has been a key focus, with the app now widely available on Pixel devices running the latest Android 15 updates, and even extending to select Samsung models like the Galaxy Z Flip 7. However, as noted in related coverage from the same publication, users of the Galaxy Z Fold 7 are currently excluded, pointing to potential fragmentation in rollout strategies across manufacturers.
Implications for Developers and Enterprise Use
From a technical standpoint, this graphical capability opens doors for running complex software suites, such as GIMP for image editing or even lightweight IDEs, directly on Android hardware. Industry observers, drawing from insights in Android Authority‘s earlier preview of Android 16 features, see this as a precursor to more integrated hybrid environments, where Android devices could serve as portable development stations.
Yet, Google has been clear that this isn’t positioned as a full desktop mode replacement. A company employee, quoted in a March 2025 article by Android Authority, emphasized its role in enabling quick Linux access for tasks like scripting and testing, rather than supplanting broader desktop initiatives. This distinction underscores Google’s cautious approach to avoiding overlap with ChromeOS, its dedicated desktop OS.
Challenges and Future Horizons
Despite the excitement, challenges remain, including performance overhead from virtualization and the need for users to navigate file access between Android and the Linux VM—a process demystified in a how-to guide from Android Authority. Battery life and thermal management on mobile hardware could also limit extended use of resource-intensive apps.
Looking ahead, as Android 16’s canary builds continue to refine this feature—evidenced by reports in outlets like How-To Geek—it could catalyze a wave of innovation. For enterprises, this means Android devices might increasingly handle server management or data analysis tasks traditionally reserved for laptops. Meanwhile, the open-source community is already experimenting, with Android Police highlighting how running Doom exemplifies the “cross-compatibility floodgates” now opening.
Broadening Android’s Appeal in a Competitive Market
This update arrives amid growing competition from ecosystems like Apple’s, where iOS remains more locked down. By empowering users with Linux graphical apps, Google is not only appealing to tech enthusiasts but also positioning Android as a more flexible platform for professional workflows.
Ultimately, while still in its nascent stages, this Terminal enhancement signals Google’s ambition to blur the lines between mobile and desktop computing, potentially influencing hardware designs and software development paradigms in the years to come. As adoption grows, it will be fascinating to watch how this integrates with emerging AI-driven features in Android, further solidifying its role in the evolving tech ecosystem.
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Why SEO Is Far from Dead – jumpfly.com

Organic search has changed drastically over the past couple of years with the addition of AI Overviews, an increase in search engine results page (SERP) features, and a rise in zero-click searches. It is getting harder to perform well in organic search, and real estate on the SERPs is more valuable than ever. Sometimes it can feel like there are diminishing returns, and the “SEO is Dead” claims can feel real. The fact is, search engine optimization (SEO) is not dead — it is still your most valuable marketing channel in 2025 and beyond.
Long Term Sustainable Traffic: While paid search and other paid digital channels provide quick and easily quantifiable return on investment, well optimized content can provide a long-term traffic benefit, driving valuable leads or revenue. It can help establish E-E-A-T in Google’s eyes, and in turn, rank well and continue to pay dividends over time. Not to mention, authoritatively optimized content will provide an SEO benefit to future content as well.
Precise Keyword Targeting: The simplest foundation of on-page optimization is still targeting relevant keywords. Keyword research has evolved over time to distinguish and target longer tail or intent-based keywords, but the basics of targeting keywords to match your customers’ search behavior remain the same. It’s true that the AI Overview and additional SERP features have created more competition and fewer clicks, but it is still the best digital channel to reach your target audience and new customers. Plus, an intent-based keyword strategy will naturally tailor content towards the SERP features for a given keyword.
Low Barrier to Entry: It used to be that all you needed was a website — and somebody to make updates to that website — to get started on what could be an effective SEO strategy. Adding content and some blog posts could lead to incremental traffic. Well, the concepts haven’t changed much here, either. The landscape is obviously a bit different, but it still can be your most cost-effective channel. Competition is certainly higher, and your SEO strategy needs to be more disciplined and nuanced, but SEO still doesn’t need to eat up all of your marketing budget to be extremely beneficial, and well performing content still doesn’t have compounding costs.
According to a study from this past December, 47% of Google search results return an AI Overview. Naturally, with a varied ability to track the true nature and prevalence of AI overviews, and the fact that most tools can only focus on a predefined set of larger head and specific tail keywords, this data will skew to show that AI Overviews are more prevalent. But no one argues that AI Overviews are a force to be reckoned with. Additionally, Google’s market share recently fell under 90% for the first time in 10 years. This doesn’t mean we should create a bunch of AI generated content for the AI search engines. Google is working on identifying what content is AI-written, so that it can give it a low quality rating, which will have the opposite effect that optimizing content is supposed to have.
It’s important to note, optimizing for AI powered search features and engines, or Generative Engine Optimization (GEO), is all speculative with no evidence to suggest that new or specific strategies are effective. It does stand to reason that content that demonstrates E-E-A-T, and other forms of helpful content, will perform well in Google’s AI Overview, though.
Google’s Helpful Content updates go back to 2022 when they first introduced the concept to their ranking algorithm. Furthermore, the importance of helpful content is underscored every time Google makes a core algorithm update, since they rolled the HCU system into their core algorithm updates last March. Simply stated, content created by AI for search engine purposes will not perform well in the long run, and neither will unoriginal or thin content. The days of putting generic content on a page for quick SEO wins are over.
Although we don’t have evidence on how to specifically optimize for AI Overviews, it’s a reasonable assumption that technical elements like structured data and site crawability are important aspects that go into it. Structured data is parsed by Google for rich snippets and more traditional featured snippets like the Answer Box, so they likely have at least some impact on AI Overviews and AI-generated snippets. Site speed and user experience — in the form of Core Web Vitals — are also specific metrics that Google uses algorithmically that shouldn’t be ignored.
SEO isn’t dead; it’s just more complex and complicated than it’s ever been. The landscape of the SERPs might be changing, but the core basics of SEO remain the same. A successful SEO strategy is required now more than ever to compete in the volatile world of organic search.
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            The new SEO – Generative Engine Optimisation shifts how brand’s maximise their digital content – Marketing Mag

            The new SEO – Generative Engine Optimisation shifts how brand’s maximise their digital content  Marketing Mag
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            2025 Content Strategies: Balancing AI and Human Appeal – WebProNews

            In an era where artificial intelligence is reshaping every facet of digital communication, content strategists are grappling with a profound shift: the need to create material that resonates not just with human audiences but also with increasingly sophisticated machines. This dual focus is no longer optional, as AI-powered search engines and recommendation algorithms now dictate visibility and engagement. According to a recent piece in Fast Company, forward-looking content strategies must account for both humans and machines, emphasizing the creation of “AI-friendly” content that can be easily parsed, summarized, and repurposed by algorithms while still delivering genuine value to readers.
            The implications are far-reaching for brands and publishers. Traditional approaches centered on keyword stuffing or superficial SEO tactics are giving way to more nuanced methods that prioritize depth, authenticity, and adaptability. For instance, AI tools are now capable of generating initial drafts or analyzing audience data in real time, but strategists warn against over-reliance on automation, which can produce generic output lacking the human touch essential for building loyalty.
            Navigating the Human-Machine Divide in Content Creation
            As we move deeper into 2025, industry surveys highlight how organizations are rewiring their operations to capture AI’s value. A McKinsey Global Survey, detailed in their report on The State of AI, reveals that companies achieving real returns from AI are those integrating it into core processes like content personalization and trend forecasting. This involves using AI for audience insights, such as predicting preferences based on behavioral data, while ensuring content remains ethically sound and culturally relevant.
            Yet, challenges abound. Content that thrives in AI-driven environments must be structured for easy extraction—think modular formats with clear headings, metadata, and semantic markup—without sacrificing narrative flow. Posts on X from marketing experts underscore this, noting a surge in “agentic AI” tools that autonomously optimize campaigns, with hyper-personalization becoming a baseline expectation for 2025 strategies.
            Emerging Trends Shaping AI-Infused Strategies
            Looking ahead, Microsoft’s outlook on 6 AI Trends for 2025 predicts a rise in multimodal AI, where content incorporates text, images, and video seamlessly analyzed by algorithms. This trend aligns with advice from Backlinko in their guide to 11 Content Marketing Trends for 2025, which stresses that AI isn’t the sole focus; instead, it’s about blending it with people-first content to boost traffic and authority. For example, brands are advised to leverage AI for identifying overlooked SEO opportunities, like conversational queries that dominate voice search.
            Moreover, sustainability and ethics are gaining prominence. WebProNews reports in 2025 Tech Trends that AI’s integration with IoT and blockchain is driving business transformation, but it also raises concerns about data privacy and algorithmic bias in content distribution. Strategists must audit AI-generated content for accuracy, as misinformation amplified by machines can erode trust.
            Practical Steps for Implementing AI-Aligned Content Plans
            To adapt, insiders recommend starting with tools like those from StoryChief, which, as outlined in their blog on Creating an AI Content Strategy in Under 5 Minutes, use AI agents to analyze audience, brand voice, and competitors swiftly. This enables rapid iteration, such as generating keyword-optimized posts while maintaining consistency across channels. Recent X discussions echo this, with users highlighting AI’s role in predictive analytics for churn reduction and real-time optimization.
            However, the key to success lies in human oversight. DesignRush’s insights on Aligning Content Strategy with AI Search Trends in 2025 emphasize structuring content conversationally to appear in AI summaries, warning that unstructured material risks invisibility. Marketing Eye’s analysis of 7 Marketing Trends for 2025 adds that combining AI with robust SEO will shape future growth, urging brands to focus on depth over volume.
            Future-Proofing Against AI’s Rapid Evolution
            As AI content generation markets expand—projected to boom through 2034 according to OpenPR’s market outlook—strategists must balance innovation with caution. X posts from AI analysts point to trends like multilingual generative models and autonomous agents transforming strategic planning, yet they stress the need for ethical frameworks to address talent shortages and cybersecurity risks.
            Ultimately, the most effective content strategies in 2025 will treat AI as a collaborator, not a replacement. By fostering synergy between machine efficiency and human creativity, organizations can craft content that not only ranks highly in AI-driven searches but also fosters meaningful connections. This approach, informed by ongoing industry dialogues, positions forward-thinking teams to thrive amid accelerating change.
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            15 Use Cases for Generative AI in Marketing – CX Today

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            Unpack how marketing teams are leveraging GenAI to improve key customer and business outcomes.
            Published: June 20, 2025
            Rebekah Carter
            Companies aren’t just using tools like ChatGPT to generate online content or social media captions anymore. Instead, generative AI (GenAI) is transforming marketing processes.
            Indeed, marketing teams are thinking beyond simple content creation use cases, applying GenAI to social workflows, reporting, campaign generation, and beyond.
            By late 2023, Salesforce found that, on average, marketers save approximately five hours a week with GenAI tools.
            Yet, as more applications for the technology continue to come to light and large language models (LLMs) advance, expect this number to increase further.
            Already, since Salesforce ran the study, more GenAI use cases have burst onto the marketing scene. Here are some of the best examples to look out for.
            Example: HubSpot Breeze (for HubSpot Marketing Hub)
            Since the launch of ChatGPT, content creation has emerged as one of the most popular use cases for Generative AI in marketing. However, the types of content companies can create have ramped up. Teams can now go beyond creating briefs, ad copy, and blogs with tools like Jasper and Writer.AI.
            Additionally, solutions like the Breeze Copilot in HubSpot’s marketing hub can create landing pages, emails, and full marketing strategies with AI. The dedicated “Content Agent” can also produce case studies, landing pages, podcasts, and images with AI.
            Lastly, the solution may optimize that content with keywords, source and cite relevant data, and even personalize campaigns for specific customer segments.
            Example: OpenAI Sora and ElevenLabs
            The rise of multimodal language models has opened the door for content creation that goes beyond simply producing text. OpenAI’s Sora model and DALL-E 3 can create images and videos that complement marketing campaigns.
            Dedicated platforms like Runway allow marketers to generate explainer videos, social-ready visuals, and even edit footage with a few prompts, no fancy post-production required. For example, marketers can automatically remove backgrounds, extend scenes, or create motion graphics on the fly.
            Moreover, Adobe brings generative features into Photoshop and Premiere to streamline the creation of visual assets.
            In the audio landscape, there are tools like ElevenLabs that empower companies to design videos with AI-generated voices, captions, and voice-overs. These tools can even translate content into various languages, supporting global reach.
            Other notable platforms in this space include Synthesia, which combines AI voice generation with video avatars, and NaturalReader, offering a wide range of voices for commercial applications.
            Example: Persona by Delve
            Knowing who to target is just as important as knowing what to say. Audience modeling solutions, like Persona by Delve, help marketers move beyond spreadsheet-based Ideal Customer Profiles (ICPs).
            Such solutions can also create dynamic profiles informed by CRM data, web analytics, and competitor research.
            Rather than creating personas once per year, marketing teams can now refresh them weekly, even daily. Indeed, tools like Delve continuously analyze behavior patterns, segment overlap, and engagement data to predict who’s in-market and who’s ready to churn. This keeps targeting sharp and ad dollars efficient.
            Meanwhile, solutions like Clearbit enrich ICPs with firmographic and technographic insights, while Mutiny puts those insights to work in personalized web experiences.
            Example: Twilio Segment
            Great marketing is all about relevance, and to deliver personalized experiences, companies need to segment their audience. Generative AI can make it easier to identify and organize groups of potential prospects and existing customers.
            Tools like Twilio Segment allow companies to prepare for an era of cookie-less marketing, helping them to collect valuable first-party data and learn more about their target audience.
            Companies can also access tools that personalize messages for each segment, adjust content based on channels, and even provide insights into customer behavior predictions.
            Other solutions – like those available on the Adobe Experience Platform – offer robust AI-driven segmentation capabilities, allowing for real-time data processing and audience insights.
            As such, marketers may go further to deliver the right message to the right audience at the right time, optimizing marketing efforts and ROI.
            Example: Outreach.io
            Omnichannel strategies aren’t just for customer service. Companies need to coordinate marketing and sales strategies across multiple channels, too. Coordinating journeys across various channels can be complicated, but Generative AI can help.
            Solutions like Outreach.io use GenAI to help businesses design and manage multi-touch campaigns, optimizing content and timing based on customer engagement data.
            Adobe, similarly, is building AI agents for its platform, specifically designed to enhance customer journeys across channels. The Journey Agent, site optimization agent, and content production agents can even work together to support multi-touch marketing campaigns.
            Example: ThoughtSpot AI
            Companies need insights into their buyers’ journeys, the questions they have, and the decisions they make. But accessing and interpreting complex data sets to turn them into marketing strategies is challenging.
            Tools like ThoughtSpot help less technical team members dive deeper into their data. They can ask questions like: “Which channels generated the most traffic last quarter?”, and ThoughtSpot can answer and cite its sources.
            Other tools like SeekWell and AI2sql provide similar capabilities, translating natural language into SQL queries and enabling deeper data exploration.
            Example: Originality.AI CTA Generator
            Not every message or button will resonate with every audience in the same way. Tools like the Originality.AI CTA generator can give marketers an easy way to generate specific call to actions (CTAs) for specific customer segments.
            All users need to do is type in a CTA idea, choose their tone of voice, and select their ideal target audience, and the solution does the rest.
            Similar offerings, like Copty.AI’s CTA generator, also allow companies to upload specific ICP profiles and product details.
            Plus, these tools can adapt CTAs across different languages and fine-tune existing CTAs sprawled across the business’s website.
            Example: Mailchimp
            Products like Mailchimp allow companies to build comprehensive conversational workflows across various channels, dynamically adjusting content based on customer activity.
            Such offerings automatically customize messages based on inputs like a customer’s browsing behavior or shopping history, and even suggest the right time to send a message.
            Elsewhere, tools like Attentive help guide customers towards the right product or service with carefully orchestrated experiences, composed to boost marketing ROI and improve customer loyalty.
            Example: Ocoya
            Generative AI is supporting social teams in planning, writing, designing, and publishing content at scale. Platforms like Ocoya combine AI-generated captions, hashtags, visuals, and even performance prediction into a single workspace.
            With a solution like Ocoya, marketers can generate hundreds of post variations across platforms like Instagram, LinkedIn, Facebook, and Twitter. It uses GPT-based models to craft engaging captions and find the best time to post based on audience behavior. The AI even offers hashtag suggestions based on current trends and the post’s context, helping boost organic reach without the guesswork.
            Ocoya and tools like Predis.ai or Lately can also turn long-form content (like blogs or videos) into bite-sized, shareable social posts. That means a single webinar or article can power an entire week of social media content, all without rewriting or repackaging it manually.
            Example: AdCreative.AI
            Companies investing in pay-per-click (PPC) advertising need to funnel a lot of time and effort into constantly analyzing and refining their content strategies.
            Generative AI can save businesses time by generating ad copy, analyzing data, and sharing learnings.
            Platforms like AdCreative.AI allow companies to create conversion-focused creative campaigns in seconds. The system can also identify which creatives perform best, score campaigns, and provide actionable insights into competitor results.
            The more companies feed these tools data about their audiences, competitors, and campaigns, the more effective they become, reducing ad spend and improving ROI.
            Example: ContentShake AI by SEMRush
            Search Engine Optimization (SEO) initiatives are still a priority for many marketers, even as online browsing experiences evolve.
            Unfortunately, many companies struggle to create content resonates with human beings and search engines at the same time.
            Thankfully, solutions like SEMRush’s ContentShake AI, for instance, combine the company’s proprietary SEO data with generative AI to help teams create content.
            From there, it suggests ideas and topics based on what’s trending and adapts to versatile brand voices.
            The solution also shows companies how to embed keywords into content naturally, find terms that align with different levels of intent, and improve targeting strategies.
            Example: Qualtrics
            When marketers know how customers feel at each customer experience touchpoint, they can orchestrate journeys and deliver more impactful campaigns.
            Tools like Qualtrics’ Sentiment Analysis provide in-depth insights into how customers feel about brands, helping them to stand out from the competition. The AI solutions also monitor multiple sources of data at once, from social media mentions to forum comments.
            These tools help businesses build more personalized and meaningful campaigns. Additionally, they allow them to monitor, protect, and preserve brand reputation across channels.
            Example: Otter.AI
            Today’s customers are looking for more authentic, unique content. One of the best ways for companies to create that content is to draw on real conversations with customers. Case studies and thought leadership articles that contain real-world insights can significantly increase conversion rates.
            Meeting and call transcription tools, like Otter.AI, can help businesses capture every detail of a conversation, so they can transform it into eye-catching and engaging content.
            These tools may also support marketing teams in collaborating more effectively with sales and customer service experts, streamlining cross-functional conversations.
            Example: Lokalise
            Companies expanding into global markets need to adapt their marketing strategies to suit new audiences and languages. Generative AI can play a big role here.
            For instance, tools like Localise can help marketers adapt their content for different regions, maintaining their tone of voice, while adjusting for different cultural nuances.
            The platform also allows companies to add their own context, like style, tone of voice, and glossary guides, so translations don’t feel “generic”.
            Plus, teams can edit the content within the app and immediately publish it to a range of popular content management systems.
            Example:Sprinklr Marketing
            Many generative AI solutions not only synthesize posts with brand mentions but also broader trending topics that align with the brand.
            As such, marketing teams gain new insights into trending topics and what customers are talking about online, enabling new, actionable insights.
            These insights may come in the form of prescriptive recommendations or via visualizations, which marketing teams can leverage to bolster brand management initiatives.
            Generative AI is quickly making its way into many aspects of the go-to-market workflow.
            For marketing teams, the right tools introduce an opportunity to not just streamline content creation but also boost ROI and deliver more personalized experiences to customers throughout the funnel.
            So, while AI might not eliminate the need for creative experts and customer-facing employees in the future, it’s definitely making marketing teams more efficient and intuitive.
            Learn more about the evolving applications of generative AI, with these guides into the top GenAI uses for customer service and sales.
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            CRM
            HubSpot Bolsters Its Landmark CRM-ChatGPT Integration, Unveils New Possibilities
            CRM
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            Contact Center
            Big CX News from SAP, ServiceNow, OpenAI & Zoom
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