AI search is no longer a future consideration. It is happening right now, at scale, and the data to prove it is starting to emerge in meaningful volume. A study analysing 68 million AI crawler visits has surfaced some of the clearest signals yet about what actually drives visibility in AI-powered search engines, and the findings should inform how every SEO practitioner approaches content strategy today. Here are the key insights every digital marketer needs to understand.
What the 68 Million Crawler Visits Actually Tell Us
The sheer volume of AI crawler activity captured in this data set makes it one of the most statistically significant windows we have had into how models like ChatGPT, Perplexity, and Google’s AI Overviews are crawling and indexing the web. At 68 million visits, this is not a sample based on a few thousand pages. It is a genuine, large-scale look at crawl behaviour, and the patterns that emerge are difficult to dismiss as noise.
One of the most important takeaways is that AI crawlers are not behaving like traditional search engine bots. They are far more selective. They revisit certain pages repeatedly, suggesting they are looking for freshness and authority rather than simply cataloguing everything they can find. This selectivity has profound implications for where you invest your content efforts.
6 Key Insights That Drive AI Search Visibility
1. Domain Authority Still Matters, Perhaps More Than Ever
The data confirms that AI crawlers heavily favour established, authoritative domains. Sites with strong backlink profiles and long track records of publishing credible content attract disproportionately more crawler visits. This is not a surprise, but it does reinforce that the fundamentals of SEO have not been made redundant by AI search. If anything, the bar for domain trust has been raised. Sites that have built genuine authority over years are being rewarded with far greater AI crawl attention than newer or thinner-content sites.
2. Topical Depth Outperforms Broad Coverage
AI models are trained to identify the most comprehensive and reliable source on a given topic. The crawler data reflects this: sites that go deep on a specific subject area receive more visits than those that publish shallow content across many unrelated topics. This is the clearest argument yet for a genuine topical authority strategy. Building out content clusters, covering a subject from multiple angles with real depth, and interlinking those resources is precisely the behaviour that AI crawlers appear to reward.
3. Freshness Is a Stronger Signal Than Many Expected
Repeat crawl visits are a strong indicator of what AI systems value, and the data shows that pages updated regularly attract recurring crawler attention. This makes intuitive sense. AI-powered answers need to be accurate, and accuracy requires currency. If your content covers anything with a time-sensitive dimension, whether that is statistics, legislation, product information, or industry trends, keeping it updated is not optional. It is now a direct factor in whether AI systems will surface your content in responses.
4. Structured, Clearly Formatted Content Gets Preferential Treatment
The analysis points strongly towards structured content performing better in terms of crawler engagement. Pages that use clear headings, concise paragraphs, bullet points, and FAQ sections are more likely to be selected as AI training or retrieval sources. This aligns with what we know about how large language models parse text. They extract meaning most efficiently when it is logically organised. If your content looks like a wall of text, you are making it harder for AI systems to identify and extract the precise answers they need, and harder for users to read, which is a double disadvantage.
5. Schema Markup and Structured Data Increase Crawl Frequency
Pages implementing Schema.org structured data are appearing more frequently in the crawler visit data. This is consistent with the broader direction of how search engines have evolved. Structured data gives machines a clearer semantic map of your content, and AI crawlers are machines that benefit enormously from that clarity. If you have not yet implemented schema markup across your key pages, this data provides a compelling commercial reason to prioritise it.
6. E-E-A-T Signals Are Being Actively Sought Out
Experience, Expertise, Authoritativeness, and Trustworthiness are not just Google guidelines. They appear to be active signals that AI crawlers are using to evaluate content quality. Pages with clear author credentials, citations, references to primary sources, and transparent editorial standards attract more crawler attention. This means that adding genuine author bios, linking to credible research, and being transparent about your sources is no longer just good practice for human readers. It is now directly tied to your AI search visibility.
7. User Engagement Metrics Correlate With Crawler Revisits
Perhaps one of the more nuanced findings is the apparent relationship between strong user engagement signals and the frequency of AI crawler revisits. Pages with lower bounce rates, longer dwell times, and higher rates of repeat human visitors seem to attract more AI crawler attention. This suggests that AI systems may be using indirect signals about content quality and user satisfaction to decide where to focus their crawl resources. Writing content that genuinely serves your audience is, once again, the most reliable long-term strategy.
How to Apply These Insights to Your SEO Strategy
Understanding what drives AI crawler behaviour is only useful if you translate it into action. Start by auditing your existing content for topical depth and freshness. Identify your highest-value pages and build a regular update schedule. Implement structured data if you have not already done so, and ensure your content formatting is clean, logical, and easy for both humans and machines to navigate.
Build your E-E-A-T signals deliberately. Commission a review of your author pages and bio sections, add citations where they are missing, and link to authoritative primary sources rather than secondary aggregators. Consider how your site’s domain authority is being built through editorial links and genuine third-party recognition rather than manipulative tactics that AI systems are increasingly capable of detecting.
The 68 million crawler visits analysed here offer a rare, concrete view into a space that has often relied on inference and speculation. The consistent thread running through every insight is this: AI search rewards the same qualities that have always distinguished genuinely good content from mediocre content. Authority, depth, accuracy, structure, and trustworthiness. The mechanisms for measuring those qualities have evolved, but the underlying principles have not.
Frequently Asked Questions About AI Search Visibility
What is AI search visibility?
AI search visibility refers to how often and prominently your content is referenced, cited, or surfaced by AI-powered search tools such as ChatGPT, Perplexity, and Google’s AI Overviews when users ask relevant questions.
How do AI crawlers differ from traditional search engine bots?
AI crawlers tend to be more selective and revisit high-quality pages more frequently. They prioritise authoritative, well-structured, and regularly updated content rather than simply indexing every page they encounter. You can learn more about how Google’s crawlers work as a useful reference point for understanding crawl behaviour generally.
Does traditional SEO still matter for AI search?
Yes, very much so. The data from 68 million AI crawler visits confirms that domain authority, structured content, E-E-A-T signals, and technical SEO fundamentals like schema markup all remain highly relevant. AI search has raised the bar rather than replaced the rules.