Tag: AI

  • Unlocking Content Success: Mentions, Citations & Clicks in 2026

    Unlocking Content Success: Mentions, Citations & Clicks in 2026

    In my new content strategy for 2026, I’ve learned that the focus now lies in the signals models perceive, rather than the pages users visit. It’s crucial to adapt our content before digital agents dominate the journey.

    Generative systems like ChatGPT, Gemini, Claude, and Perplexity have started reshaping the discovery phase. This stage once drove millions to our websites, but now it’s all about getting referenced in models.

    ```json
{
  "alt": "Bar chart showing change in traffic share by content category from August 2023 to August 2025, highlighting pricing/cost and template categories.",
  "caption": "Intriguing shifts in blog traffic! Pricing and templates see the highest growth, while tutorials and guides face a decline from 2023 to 2025.",
  "description": "This bar chart illustrates the change in traffic share by content category from August 2023 to August 2025, based on data from over 12,200 blog URLs. Categories such as Pricing/Cost and Templates/Checklists/Calculators saw significant increases in traffic share, while How-to/Tutorials and Guide/Playbook categories experienced declines. The chart provides valuable insights for content strategists and marketers aiming to optimize their focus areas. Keywords: traffic share, content category, blog analysis, digital marketing trends, content strategy."
}
```

    Metrics like impressions, sessions, and CTR are still important but tell an incomplete story. Mentions, citations, and structured visibility signals are emerging as the trustworthy paths to revenue.

    ```json
{
  "alt": "Bar chart showing content growth rate (CAGR) by category from August 2023 to August 2025.",
  "caption": "Explore the varied content growth rates by category from August 2023 to 2025. Discover which types like Case Studies and Trends are leading the pack and which are falling behind.",
  "description": "This bar chart illustrates the content growth rate (CAGR) by category from August 2023 to August 2025, based on traffic data across over 12,200 blog URLs. Categories like Case Study and Trends show significant growth, while others such as How-to/Tutorial and Release Notes experience declines. This insightful analysis by siegemedia provides a clear view of content trend dynamics over a two-year span."
}
```

    In this article, I’ve compiled insights from Siege Media’s content performance study, Grow and Convert’s findings on conversion, Seer Interactive’s AI research, and firsthand experiences within generative platforms. They guide us on how visibility, engagement, and purchasing intent are reshaping as AI covers more of the user journey.

    ```json
{
  "alt": "Bar chart showing engagement rates of content types like trends, updates, guides, comparisons, and case studies.",
  "caption": "Discover which content types are driving engagement! Trends and updates lead the way, outperforming guides and comparisons in boosting interaction.",
  "description": "This bar chart illustrates engagement rate improvements for different content types from August 2023 to August 2025, analyzing over 12,200 blog URLs. The data reveals that 'Trends' and 'Announcements/Product Updates' show the highest engagement improvements, followed closely by 'Guide/Playbook' and 'Comparison (X vs Y)'. The chart is a resourceful insight for content strategists aiming to boost user interaction with effective content."
}
```

    The team at Siege Media conducted an extensive performance analysis across various industry blogs, covering more than 7.2 million sessions. Kudos to them for sharing such a substantial dataset with us.

    ```json
{
  "alt": "A robotic figure with glowing eyes and metal hands gestures with the text 'But wait, there's more!' in bold.",
  "caption": "This robot is ready to deliver unexpected surprises with the classic phrase 'But wait, there's more!'",
  "description": "The image features an animated robotic character with glowing yellow eyes and metal hands, dressed in a blue shirt. The robot stands in a kitchen setting, gesturing animatedly. Above and below it, the text reads 'But wait, there's more!' in bold, capital letters. This image plays on the classic infomercial trope, implying that there's an exciting twist or additional element yet to be revealed. Keywords: robot, glowing eyes, gesture, blue shirt, infomercial, surprise."
}
```

    Notably, the data is focused on blog content, which may not align perfectly with other formats such as videos or landing pages.

    ```json
{
  "alt": "Illustration of a chef with a conversion funnel using tofu cubes, moving from discover to decide stages.",
  "caption": "From tofu blocks to decisive bites, this creative infographic illustrates the stages of customer engagement, paralleling a marketing funnel.",
  "description": "This image features a chef preparing tofu cubes on a tray, symbolizing the stages of a marketing funnel: 'Discover & Awareness,' 'Consider & Explore,' and 'Decide & Convert.' The process is visually represented by several cubes on a tray to a single cube on a plate, illustrating the journey from expanding reach to final decision-making. Keywords: marketing funnel, conversion stages, customer journey, tofu metaphor."
}
```

    Here’s what I’ve learned from their findings.

    ```json
{
  "alt": "Bar graph comparing BOTF and TOF traffic pageviews.",
  "caption": "This bar chart highlights the stark difference between BOTF and TOF traffic in terms of pageviews, with TOF towering over BOTF.",
  "description": "A bar graph titled 'BOTF vs. TOF Traffic (Pageviews)' showing comparative pageview data. The red bar represents BOTF traffic with a lower count, while the blue bar shows significantly higher TOF traffic. The Y-axis is labeled with pageview counts ranging from 0 to 250,000. This visual emphasizes the disparity in traffic sources, useful for digital marketing analysis and strategy development."
}
```

    TL;DR of the Siege Media Study

    Pricing and cost-related content has shown the strongest growth, contrasting the sharp decline of top-of-funnel guides and “how-to” posts. It appears pricing pages have risen at the expense of TOFU content, but I see it differently. As user habits change, buyers are now likely to initiate research generatively and only move to high-intent queries as they near a decision.

    ```json
{
  "alt": "Bar graph comparing BOTF and TOF conversion rates, with BOTF at 4.78% and TOF at 0.19%.",
  "caption": "Comparing conversion rates: BOTF significantly outperforms TOF with a rate of 4.78% versus 0.19%. Discover the factors behind this stark difference.",
  "description": "This bar graph illustrates a comparison between BOTF (Bottom of the Funnel) and TOF (Top of the Funnel) conversion rates. The BOTF conversion rate stands at 4.78%, shown with a tall red bar, while the TOF conversion rate is markedly lower at 0.19%, depicted by a short blue bar. The chart highlights the stark effectiveness difference in conversion strategies between the two funnel stages, making it a valuable resource for marketers aiming to optimize conversion tactics. Keywords: conversion rate, BOTF, TOF, marketing funnel, graph."
}
```

    The data highlights substantial growth in pricing and comparison content, whereas traditional guides have significantly declined. We’ll revisit this trend later.

    ```json
{
  "alt": "ChatGPT interface showing a conversation about planning a trip to the Outer Banks.",
  "caption": "Explore the serene beauty of the Outer Banks with a personalized travel plan created to suit your desires for relaxation and adventure.",
  "description": "This image captures a ChatGPT interface discussing a travel plan to the Outer Banks, North Carolina. The conversation highlights the region's 175-mile stretch of barrier islands known for their sandy beaches, lighthouses, seaside towns, and wild horses. The interface prompts further planning based on user preferences and budget. Keywords: Outer Banks, travel plan, ChatGPT, North Carolina attractions."
}
```

    Despite setbacks in certain content forms, major categories are seeing increased engagement. Users are completing more research within generative engines, thus reaching sites with a higher intent and readiness to act.

    ```json
{
  "alt": "ChatGPT conversation recommending top Outer Banks rental companies for large groups.",
  "caption": "Discover the top Outer Banks rental companies perfect for hosting large groups, featuring options with pools, beach access, and more.",
  "description": "This image shows a ChatGPT conversation focused on recommending specific Outer Banks rental companies suitable for large groups of around 12 people. The list includes Sun Realty, Beach Realty & Construction, Carolina Designs Realty, and Resort Realty, highlighting features like large accommodations, oceanfront homes, and pet-friendly options. These companies offer a range of properties, including multi-bedroom homes ideal for family reunions or group getaways, with amenities such as beach access and private pools."
}
```

    As a data-focused SEO professional, this could be an indicator to prioritize bottom-of-funnel content, but there’s more to consider…

    ```json
{
  "alt": "Line graph showing the growth of ChatGPT users from Nov 2022 to Sep 2025, with a steep increase after Jan 2024.",
  "caption": "The surge in ChatGPT's user numbers from November 2022 to September 2025 highlights its expanding impact, especially post-January 2024.",
  "description": "This line graph illustrates the growth in weekly active ChatGPT users across consumer plans (Free, Plus, Pro) from November 2022 to September 2025. The graph marks data points every six months, revealing a significant upward trend. Notable growth accelerates post-January 2024, reaching nearly 800 million users by September 2025. Keywords: ChatGPT, growth, users, consumer plans, timeline."
}
```

    Don’t Forget the TOFU!

    I never thought I’d say this, but keeping up with TOFU content is essential. We might need even more of it to ensure sustained visibility and engagement.

    ```json
{
  "alt": "Bar chart showing conversation topic shares divided into categories like Multimedia, Practical Guidance, Writing, and more.",
  "caption": "Explore the fascinating breakdown of conversation topics from over a million interactions, with Writing and Practical Guidance leading the charge.",
  "description": "This bar chart presents a detailed breakdown of conversation topic shares as defined in Table 3. Categories include Multimedia (6.0%), Practical Guidance (28.3%), Seeking Information (21.3%), and Writing (28.1%). Specific subcategories like Tutoring or Teaching (10.2%), Specific Info (18.3%), and Personal Writing or Communication (8.0%) offer deeper insights into user interactions. Data is sampled from approximately 1.1 million conversations between May 15, 2024, and June 26, 2025."
}
```

    Reflecting on SEO’s legacy, we see how it has evolved over time. Grow and Convert’s research from 2023 indicates that despite high TOFU traffic, its conversion rates are notably lower compared to BOFU, a trend seen across channels like PPC.

    ```json
{
  "alt": "Animated scientist in lab coat enthusiastically addresses three robots seated at a table.",
  "caption": "Excitement fills the room as the animated professor shares thrilling news with a group of attentive robots.",
  "description": "A scene from an animated show where a bespectacled scientist in a white lab coat announces 'Good News, Everyone!' to three robots sitting at a table. The scientist's expressive gesture and the attentive robots create a humorous and lively atmosphere. This image captures a quintessential moment of excitement and surprise, ideal for themes of innovation and technology. Keywords: animated, scientist, robots, announcement, humorous."
}
```

    Generative engines now manage most of the TOFU journey, often keeping users within platforms for research before they cross over for decision-specific interactions.

    ```json
{
  "alt": "Bar chart comparing conversion rates of AI platforms and Google Organic Search.",
  "caption": "AI platforms, including ChatGPT, showcase higher conversion rates than Google Organic Search, highlighting their growing influence in digital marketing.",
  "description": "This image is a bar chart titled 'Conversion Rates: AI vs. Google Organic Search' showing the conversion rates of various traffic sources. ChatGPT leads with 15.9%, followed by Perplexity at 10.5%, Claude at 5%, and Gemini at 3%. Google Organic trails at 1.76%. The chart, using shades of purple, illustrates the rising impact of AI in conversion efficiency. Keywords: AI, conversion rates, Google Organic, ChatGPT, digital marketing."
}
```

    For example, when I used ChatGPT to plan a trip, it engaged me deeply in TOFU and MOFU stages. This involved numerous opportunities to encounter new brands before reaching my final decision.

    ```json
{
  "alt": "A suited man with sunglasses stands confidently with text reading 'Never Send A Human To Do A Machine's Job.'",
  "caption": "In the realm of machines, humans may not always be up to the task. This image captures the essence of technology's rising dominance.",
  "description": "The image features a suited man wearing sunglasses, exuding confidence and authority. Accompanied by the impactful text 'Never Send A Human To Do A Machine's Job,' it highlights the theme of technological superiority. The dark background adds to the serious tone, providing a dramatic and intense atmosphere. Keywords: machine, human, technology, superiority, authority."
}
```

    The pivotal learning here is that TOFU and MOFU interactions set the stage for conversion decisions. This dynamic reveals the importance of being part of the TOFU stage to imprint on potential clients.

    Why Do These Protocols Matter to a Content Strategist?

    Protocols like AP2 and Computer Use are game-changers. They are reshaping the role of clicks from human navigation to transactional steps for AI agents. Understanding this shift is imperative for content strategists.

    As Siege Media’s data shows, while pricing and calculators excel because humans still drive these choices, AI agents may soon undertake this task, potentially replacing human site visits with bot interactions validating costs through technical verification.

    The 2026 Strategy

    This evolving landscape demands a strategic pivot. To achieve success in 2026, I believe a dual focus is necessary. First, optimize BOFU content for seamless technical execution. Second, reinforce TOFU efforts by enhancing mentions and citations to establish trust and recognition in generative answers.

    As clicks turn into a commodity managed by AI, the value of mentions will soar, making them the new battleground for visibility. It’s time to bolster TOFU efforts, ensuring they contribute significantly to our broader strategy.


    Inspired by this post on Search Engine Land.


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  • How AI Perception Drift Will Redefine SEO Strategies by 2026

    How AI Perception Drift Will Redefine SEO Strategies by 2026

    I’m always fascinated by how technology evolves, especially when it comes to AI models. Recently, I stumbled upon some compelling data showing how these AI systems are reshaping brand hierarchies and influencing buyer decisions at an unprecedented speed.

    AI models like ChatGPT, Gemini, and Claude have become a part of our daily interactions, from search to content creation and product recommendations.

    According to a survey conducted by Responsive, a significant 80% of tech buyers now use generative AI to research vendors just as often as they use traditional search methods. This shift in how buyers build trust with AI-driven discovery tools quietly determines which brands stay top-of-mind and which fade into oblivion.

    At Previsible, we’ve been analyzing this intriguing phenomenon through what we call LLM perception drift. It’s a new metric revealing how AI models are dynamically organizing brands within specific categories over time. (Disclosure: I am the CEO and co-founder of Previsible.)

    Our case study on project management software, comparing data from September to October 2025, highlights just how quickly AI brand perception can change. This volatility is set to become the next major metric for SEO strategies.

    Key insights

    • The concept of LLM perception drift is emerging as a crucial visibility metric in SEO and B2B marketing.
    • Brands like Atlassian gained prominence, while others like Trello and Slack saw declines, indicating the dynamic nature of AI perception.
    • Understanding AI brand perception is pivotal for marketers aiming to grasp authority and relevance in language models.
    • By 2026, maintaining digital visibility will hinge on AI brand signal stability as LLMs rapidly evolve.

    A subtle shake-up inside the AI mind

    Evertune’s AI brand score provides insights into how likely a model is to recommend a brand without specific prompting. It measures both visibility and ranking within AI responses.

    September to October shifts highlight considerable changes in the internal brand landscape of AI models. Notably, Slack saw a significant decline, while Atlassian experienced a boost.

    This seemingly simple reshuffle reveals a deeper transformation in AI’s nonspecific brand awareness, altering how the model discerns and prioritizes brands despite market stability.

    The meaning behind the drift

    We’re seeing two main forces driving these shifts:

    Category entanglement

    Rather than declining, categories are blurring — project management tools are being integrated into broader conceptual frameworks.

    • Operations
    • Digital transformation
    • Workflow orchestration
    • Enterprise productivity
    • IT consulting

    Names like Deloitte and KPMG rise alongside Smartsheet and Atlassian.

    Ecosystem advantage

    Brands with multi-product ecosystems are getting noticed more. Atlassian’s lift, for example, stems from its robust documentation and integration abilities. Brands like Microsoft, Google, and Amazon are also seeing positive movement.

    Models increasingly prefer brands that span multiple ecosystems, echoing entity-based SEO patterns but at a faster, more volatile pace.

    Dig deeper: Alignment for LLM visibility is incredibly complex, but doable


    New entrants, new patterns

    We observe emerging trends in newer brands like Celoxis and Workfront, showcasing how fine-tuned LLMs draw from diverse datasets.

    • SaaS directories
    • GitHub repositories
    • Technical documentation
    • Reviews
    • Community content

    For smaller B2B brands, this represents a gateway to visibility without needing to dominate traditional SEO metrics.

    Why this shift matters for B2B discovery – and why it’s speeding up

    Traditional SEO focuses on visible search results, whereas LLMs synthesize knowledge based on associations and contextual richness.

    ```json
{
  "alt": "Bar chart showing AI brand score volatility for companies like Atlassian, Slack, Microsoft.",
  "caption": "AI Brand Score Volatility: Atlassian excels with a +5.5 score, contrasting Slack's dip to -8.1. Discover how leading companies fluctuate in AI perception.",
  "description": "The image is a bar chart depicting the volatility of AI brand scores among various tech companies. Atlassian shows a significant positive change of +5.5, while Slack experiences a decline to -8.1. Other companies included in the chart are Asana, Monday.com, Microsoft, ClickUp, Wrike, Trello, Smartsheet, Google, Deloitte, KPMG, Amazon, Adobe, and Ernst & Young (EY). The bars, displayed horizontally, represent scores ranging from -10 to +10. The chart provides insights into the fluctuation of AI perceptions for these brands, useful for market analysis and strategic planning."
}
```

    This means that brand recall in AI systems relies on deeper semantic connections, and these can fluctuate significantly over short periods.

    Understanding and leveraging this LLM perception drift is crucial — being consistently recognized in AI outputs is now as vital as traditional search rank.

    Dig deeper: Why AI availability is the new battleground for brands

    A new AI optimization KPI: AI brand signal stability

    In working with B2B clients, we’re focusing on AI brand signal stability as an emerging metric — tracking how consistently a brand’s presence is maintained in AI outputs.

    Fluctuations suggest fragile brand perception, influenced by data changes and model retraining, while stable scores indicate strong semantic grounding.

    In coming years, AI brand signal stability will be essential alongside share of voice and traditional SEO metrics.

    From project management to every B2B vertical

    This transformation isn’t limited to project management — it’s happening across all B2B sectors.

    The recalibration of category contexts by AI models alters the buying journey, influencing brand appearance in AI-generated content.

    The rise or fall of brand attention affects which brands occupy summative or comparative outputs, making AI memory a new realm of marketing focus.

    Dig deeper: LLM perception match: The hurdle before fanout and why it matters

    The next frontier of optimization

    This shift marks SEO’s evolution — from focusing on search indices to emphasizing model memory optimization. Our goals now include measuring how AI interprets and recalls brand identity.

    It’s about ensuring that AI systems correctly interpret and represent brands across their expansive digital landscapes.

    This demands new strategies and tools tailored to how dynamic perception systems function, rather than treating them as static outcomes.

    Evertune’s dataset highlights more than monthly position changes — it showcases a quick shift in AI’s category perception, which marketing teams must monitor to stay competitive.

    By 2026, brand appearance in AI-generated summaries will play a bigger role in decision-making than traditional metrics like pageviews or clicks. Brands that effectively manage their model-driven visibility will set themselves apart as AI becomes a mainstay in digital research.


    Inspired by this post on Search Engine Land.


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  • Submit Your Cutting-Edge Session for SMX Advanced 2026

    Submit Your Cutting-Edge Session for SMX Advanced 2026

    I’m excited to share with you that SMX Advanced is gearing up to make its mark in Boston from June 3rd to 5th, 2026, hosted at the Westin Boston Seaport. This is the premier event for those of us committed to mastering search marketing.

    We’re really keen on highlighting the advanced strategies in SEO, PPC, and AI, and we can’t do it without your expertise.

    The world of search is evolving incredibly fast.

    As SEOs, we find ourselves adapting to AI SEO trends, making sense of AI Overviews dominating SERPs, and navigating Google’s ever-changing landscape and algorithm updates.

    For those in PPC, there’s the challenge of making informed, data-driven decisions while seamlessly integrating new AI tools and maintaining that essential human touch.

    We’re looking for speakers at SMX Advanced who can provide real solutions to these complex issues.

    Do you have proven, high-level strategies for today’s marketing landscape? Now is the perfect time to share your session idea with us. Even if you haven’t spoken at SMX before, in person or virtually, we encourage diverse voices and perspectives to come forward.

    The deadline for submitting your SMX Advanced session pitch is January 30th. Don’t delay—spots are limited and fill up quickly.

    Consider these tips for crafting a compelling session proposal:

    Ensure that your topic is truly advanced and tailored for intermediate to advanced professionals in search marketing.

    Introduce an original idea or a unique session format.

    Include a case study or specific examples to illustrate your points.

    Be mindful of what can realistically be covered in a 20-minute timeframe.

    Provide clear, actionable takeaways for participants to implement.

    Clarify what skills or insights attendees will gain from your session.

    Don’t forget to check out our guide to speaking at SMX for more details on the submission process. When you’re ready, create your profile and send us your pitch!

    If you have any questions, drop me an email at kathy.bushman@semrush.com. I can’t wait to see what you come up with!


    Inspired by this post on Search Engine Land.


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  • Cloudflare’s AI Defense: Blocking Billions of Bot Requests

    Cloudflare’s AI Defense: Blocking Billions of Bot Requests

    Since July 1, I’ve been closely following Cloudflare’s battle against AI bots. Our CEO, Matthew Prince, recently shared that we have successfully blocked 416 billion AI bot requests for our customers during this time.

    This insight sheds light on Google’s significant advantage in AI. They’re currently capable of viewing 3.2 times more web pages than OpenAI, underlining the challenge smaller AI companies face.

    Why this matters. The flood of AI systems consuming vast amounts of web content is concerning, especially without a mechanism for publishers to counteract this. Our statistics at Cloudflare show just how aggressively these AI bots are searching for data.

    The current scenario. Ever since we launched our pay-per-crawl initiative on July 1, our clients have been automatically blocking AI crawlers. At the recent WIRED Big Interview event, Prince highlighted that so far, 416 billion AI bot requests have been turned away.

    Analyzing Cloudflare’s data reveals that Google sees:

    • 3.2 times more webpages than OpenAI.
    • 4.6 times more than Microsoft.
    • 4.8 times more than Anthropic or Meta.

    As Prince mentioned, Google enjoys “this incredibly privileged access.”

    The bigger picture. As it stands, Google offers publishers a difficult choice: either block AI training and risk disappearing from Google Search or allow it and accept AI scraping.

    • Prince said, “You can’t opt out of one without opting out of both, which is crazy. You shouldn’t get to use your monopoly of yesterday to secure a monopoly of tomorrow.”

    The AI landscape. Prince believes:

    • AI signifies a major shift in platforms that could reshape the web’s business model.
    • Cloudflare aims to prevent market consolidation, ensuring the web remains open while assisting creators and businesses in adapting to this shift.
    • Encouragingly, publishers that already block AI crawlers report positive results, Prince noted.

    Looking ahead. As AI models pursue superior training data, the worth of “creative, original human thought” will climb, potentially leading to opportunities in paid licensing, Prince forecasted. Meanwhile, Cloudflare is advocating for AI giants, particularly Google, to distinguish between search and AI crawling.

    • Prince asserted, “Google is the problem here. It is the company that is keeping us from going forward on the internet, and until we force them – or hopefully convince them – that they should play by the same rules as everyone else and split their crawlers up between search and AI, I think we’re going to have a hard time completely locking all the content down.”

    The story. To explore further, check out WIRED’s article on Cloudflare Has Blocked 416 Billion AI Bot Requests Since July 1 (subscription required).


    Inspired by this post on Search Engine Land.


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  • Navigating the AI Shift in Digital Marketing

    Navigating the AI Shift in Digital Marketing

    I’ve witnessed firsthand how AI agents are taking over traditional browsing methods by executing tasks directly. This shift makes web clicks and the funnels that depend on them increasingly obsolete.

    In this evolving landscape, it’s crucial for brands like mine to optimize for machine users. Becoming favorable to AI systems will determine which brands succeed moving forward.


    Inspired by this post on Try Profound Blog.


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  • Social Media Overtakes SEO as SMBs’ Leading Traffic Source

    Social Media Overtakes SEO as SMBs’ Leading Traffic Source

    I’ve discovered that social media is now a more significant driver of traffic to small and medium-sized businesses than search engines. This shift has also made us aware of the growing importance of AI in our referral tracking. Many of us, including myself, see our competitors appearing in AI summaries as a potential threat. This insight comes from the latest survey data shared by WordStream by LocaliQ.

    Why this matters to me. As a small business owner, these AI summaries are becoming an essential part of my strategy. They play a crucial role in influencing buyers’ initial decisions, and there’s a clear opportunity to steer them toward my products instead of competitors’. The AI referrals are also trackable, pushing me to optimize for these new channels.

    The decline in Google traffic. About 40% of us SMBs have noticed a loss in traffic due to recent Google updates and AI-driven search adjustments. Larger companies among us have felt this impact most, with almost half admitting to seeing declines. Yet, a significant portion of us (72%) still believe in the effectiveness of our SEO efforts.

    Social media leads the way. An impressive 64% of us list social media as our main traffic driver, surpassing organic search, which stands at 52%.

    • Solo entrepreneurs and small businesses like mine found social media to be the top source of traffic.
    • Interestingly, 35% of businesses without websites find that social channels and marketplaces bring in enough leads to forego having a website.

    AI’s growing influence. Though AI search isn’t yet the top traffic source, it’s certainly on my radar and that of fellow SMBs:

    • Half of us monitor AI referrals and mentions.
    • Among the larger SMBs, this number climbs to 70%.
    • There’s a rising awareness of Generative Engine Optimization (GEO) across businesses of various sizes.

    The greatest frustration for me, and many others, is when competitors appear in AI summaries over our businesses. However, there’s an upside: these AI models pull from sources beyond Google’s typical top search results, presenting a rare chance for visibility.

    Importance of key webpages. For those of us tracking AI-driven traffic, the most important pages are:

    • Homepages (57% of us rely heavily on these)
    • Product or service pages (48% highlight these)
    • Contact pages (34% consider these crucial)

    Our adaptation strategies. In my quest to boost AI visibility, I’ve noticed that the top strategies align with SEO basics:

    • Using clear, descriptive headlines (35% of us are doing this)
    • Improving readability (a focus for 26%)
    • Addressing technical factors like speed and mobile performance (24% are prioritizing this)
    • Larger SMBs focus on building external brand mentions (33%) and adding structured data (30%)

    About this data. This insight comes from a WordStream by LocaliQ survey, conducted with over 300 U.S. small businesses in 24 industries. It includes responses from various business sizes, from sole proprietors to companies with up to 100 employees.

    The full report. You can explore the complete findings in The Big SMB Website Trends Report: SEO, GEO, & the Future of Traffic.


    Inspired by this post on Search Engine Land.


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  • Unleashing AI in Google Search Console for Dynamic Reporting

    Unleashing AI in Google Search Console for Dynamic Reporting

    Imagine being able to simply type what data you want in a report, and, voilà, Google creates it for you on the spot. That’s exactly what’s happening with Google’s new experimental feature in Search Console!

    Recently, I learned about Google’s exciting “AI-powered configuration” update within the Search Console Performance report. This experimental feature allows you to request a specific report, and Google will instantly configure it for you. Not everyone can access it just yet, but it’s definitely something to keep an eye on.

    I immediately thought of the AI-powered advisors Google offers for Ads and Analytics. Now, similar technology is being harnessed for Search Console. According to Google, this AI-powered configuration lets you describe the analysis you want in everyday language. Your description is then transformed into appropriate filters and settings, configuring the report instantly!

    Curious about how it looks? There’s a GIF demonstration that perfectly showcases how it generates reports based on your questions, making the process seem almost magical.

    The cool part is that this feature streamlines your analysis by handling several key elements. First, it automatically selects metrics like Clicks, Impressions, Average CTR, and Average Position based on your query.

    It also applies filters to narrow down data by different factors such as query, page, country, device, search appearance, or date range. Additionally, you can set up complex comparisons without having to fiddle with manual setup.

    ```json
{
  "alt": "Graphical data report showing impressions, CTR, and average position over three months.",
  "caption": "Explore your engagement data with this interactive report showcasing impressions, CTR, and average position trends over the past three months.",
  "description": "This image features a data report interface displaying key metrics such as 1 million impressions, a 0.2% click-through rate (CTR), and an average position of 16.9 over a three-month period. The graphical line chart illustrates fluctuations in impressions, visualized in purple and blue lines against a white grid. Additional data tabs show countries, devices, and search appearance metrics. This analysis tool is ideal for tracking digital marketing performance and engagement patterns."
}
```

    Although the rollout is currently slow, Google plans to expand this feature over time. But, being early days, the feature does have some limitations. It’s solely meant for configuration tasks and doesn’t perform actions like sorting tables or exporting data.

    The feature currently only supports the Performance report for Search results and isn’t available for Discover or News reports. Also, since the AI might occasionally misinterpret requests, I recommend reviewing the suggested filters to make sure they align with your needs before diving into data analysis.

    Honestly, I’m excited about this tool because it could potentially unveil insights in reports that were otherwise challenging to discover using standard filters. While most of us still need to wait for this feature to be accessible, it’s worth a try once available to explore new data insights.

    If you’re looking for more information, head over to the Google help documentation. There’s plenty to learn and get familiar with!


    Inspired by this post on Search Engine Land.


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  • Unleashing PESO Power: Enhance AI Search Visibility

    Unleashing PESO Power: Enhance AI Search Visibility

    As I delve into the evolving world of AI and brand discovery, I’ve noticed how AI is transforming the way people find and perceive brands.

    More and more, users are leaning towards AI-driven platforms like ChatGPT, Perplexity, and Google’s AI Overviews, rather than traditional search engines to get their answers.

    These AI tools provide synthesized summaries instead of regular search results, prompting me as a marketer to rethink how we can achieve visibility.

    SEO remains important but now extends far beyond on-page strategies. It’s about how frequently I’m able to ensure our brand is mentioned and discussed across various digital arenas.

    This is where the PESO model comes into play. PESO, which stands for paid, earned, shared, and owned media, is becoming increasingly critical in my strategy for generative search visibility.

    By balancing these media types, I can create a ‘visibility engine’ that fuels trust signals and contextual cues, enabling AI to include our brand in its summaries.

    Generative search visibility is about ensuring our brand’s presence in AI-generated responses on various platforms.

    These AI systems pull from a wealth of data, ranging from news to forums, and being consistently cited in recent and reliable content increases our chances of being noticed.

    With PESO, I’m reminded that AI doesn’t see our marketing silos. It’s about reinforcing our brand across these channels to enhance our presence in AI results.

    Let’s explore how each PESO component influences AI visibility.

    Paid media, albeit indirect in AI summaries, boosts the authority and engagement signals AI systems recognize by driving traffic to well-crafted content.

    Earned media is crucial as up to 89% of AI citations come from such sources. Being featured in high-authority articles can elevate our brand’s credibility and reach.

    Shared media’s role cannot be overlooked. Engagement across platforms like LinkedIn influences AI by indicating trending and credible topics.

    Owned media remains a stronghold, with structured data and clear formatting ensuring our web content is AI-accessible, responding to major queries effectively.

    Applying PESO towards generative engine optimization includes understanding audience inquiries, reinforcing messages, monitoring content appearance, and auditing for trust signals, which are essential steps for me to enhance our brand’s AI visibility.

    The PESO model is far beyond just media balance. It’s a strategic lever allowing me to build trust and visibility, adapting as AI systems change how users discover information.

    Through consistency and meaningful content across PESO channels, I can ensure our brand isn’t left out of these vital AI-driven conversations.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How New AI Models Are Disrupting My SEO Strategies

    How New AI Models Are Disrupting My SEO Strategies

    I’ve noticed a startling trend with the latest AI models: they’re wreaking havoc on my SEO workflows. The recent benchmark results show that there’s a significant 9% drop in SEO accuracy with newer models like Claude, Gemini, and GPT.

    It turns out, these AI models aren’t just glitching—it’s all part of how they’re optimized now for deeper reasoning rather than giving quick, straightforward answers.

    Last year, it was easy to think that newer meant better. But the results from our AI SEO benchmark with Claude Opus 4.5, Gemini 3 Pro, and ChatGPT-5.1 Thinking make it clear: newer models aren’t just failing to improve, they’re actually less effective.

    ```json
{
  "alt": "Previsible.io reports a 7.8% decrease in SEO task performance for new AI models, November 2025.",
  "caption": "New benchmark by Previsible.io reveals a 7.8% drop in SEO efficiency of the newest AI models, challenging industry standards.",
  "description": "An infographic by Previsible.io highlights a 7.8% decrease in standard SEO task performance of the latest flagship AI models compared to previous versions, as per the AI SEO Benchmark report in November 2025. This suggests a potential concern for businesses relying on these technologies for SEO purposes. The report's findings are presented with a clean, modern design featuring a wavy pattern at the bottom, enhancing its visual appeal."
}
```

    I can no longer rely on models out of the box. If I want to get back to, or surpass, the accuracy benchmarks, I need to focus on structuring my workflow differently. Just using raw prompts isn’t going to cut it anymore.

    One of the biggest shifts I need to make is moving away from the chat interface and towards more structured workflows. This means considering tools like OpenAI’s Custom GPTs or Google’s Gemini Gems.

    ```json
{
  "alt": "Table comparing language models with scores, percentage difference, and release dates.",
  "caption": "Explore the latest performance stats of leading language models, along with their scores and release dates. Which model stands out for you?",
  "description": "This image features a comparison table of three language models: Claude Opus 4.5, Gemini 3 Pro, and Chat GPT-5.1 Thinking. Each model is evaluated with a score out of 100, with Claude Opus 4.5 scoring 76%, Gemini 3 Pro at 73%, and Chat GPT-5.1 Thinking leading with 77%. The table highlights the negative percentage differences compared to previous versions, denoted in red: -8%, -9%, and -6%, respectively. Additionally, the release dates are listed as November 24, 2025, November 18, 2025, and November 12, 2025."
}
```

    I’ve realized that hard-coding context is crucial. Without strict guidelines, these models stray, giving generic instead of tailored advice.

    The key takeaways for me are clear: I shouldn’t rush to upgrade to the newest models simply because they’re the latest. I shouldn’t be stuck on single prompts without robust contextual backgrounds either.

    In this new age of AI agents, my role isn’t becoming obsolete. Instead, it’s evolving, requiring me to architect AI systems and apply my judgment to refine and steer outputs effectively.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Explore AI Mode in Google Discover’s Latest Update

    Explore AI Mode in Google Discover’s Latest Update

    As I dive into articles on Google Discover, I’ve noticed Google encouraging the use of AI Mode. This isn’t just specific to articles on Discover; it applies to any webpage I’m viewing through the Google Android app.

    I’ve observed that Google is integrating AI Mode features into Google Discover. These features allow me to summarize, ask follow-up questions, and explore more deeply into topics once I’ve started reading a story. It’s intriguing to see how Google is keen on directing users into this AI-driven environment.

    Specifically, I’ve learned that this isn’t limited just to Google Discover. It’s also available on the Google App for Android, offering AI Mode options for any page I visit.

    ```json
{
  "alt": "Mobile browser screen showing an article on GamesRadar with a dropdown menu for browser options.",
  "caption": "Navigating the mobile web: A GamesRadar article on cinema with a handy browser dropdown menu for efficiency.",
  "description": "The image captures a mobile browser displaying a GamesRadar article about film director James Cameron. A dropdown menu on the right offers several browser options like copying links, translating pages, and using AI. The interface highlights the blend of reading and browsing efficiency on mobile devices, ideal for users interested in film and technology. Keywords: mobile browser, GamesRadar, James Cameron, dropdown menu, AI mode, film news."
}
```

    How it works. Once I click into an article from the Discover feed, there’s a menu with options after tapping the three dots at the top right corner. These include:

    • Summarize with AI Mode
    • Ask a follow-up with AI Mode
    • Dive deeper with AI Mode

    Damien (adell) shared a video on X showcasing these features in action. Here’s a screenshot from the video, along with the embedded video itself:

    Why we care. It’s clear that Google is determined to steer users towards Google Discover. It does so by leading them from various entry points like Google Search, AI Overviews, and more. After I’ve been directed to a site, Google then enables me to utilize AI Mode to access a sophisticated, AI-enhanced version of the article.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot