What is AI crawler analytics?
Definition
AI crawler analytics means reading a site's server logs to see which AI bots visited, how often and which pages they fetched. It shows whether engines such as ChatGPT and Perplexity can reach your pages, which is the step before any citation.
Key points
- It reads server or CDN logs, because AI bots do not run analytics tracking code.
- It shows which AI bots visit, how often, when each was last seen and which pages they fetch.
- A crawl is not a citation, so it sits alongside citation tracking rather than replacing it.
Also known as AI bot analytics, AI crawl log analysis
What does it mean in practice?
AI crawler analytics refers to reading your server logs to see which AI bots visited, how often and which pages they fetched.
Every time a bot asks your server for a page, the server writes a line to its access log. That line holds the page, the time and a user agent name such as GPTBot, OAI-SearchBot, ClaudeBot or PerplexityBot. Crawler analytics picks those lines out, matches them to known AI crawlers and counts them by bot, by day and by page.
Say a law firm rebuilds its website. A week later PerplexityBot stops appearing in the logs. That is often a sign that a new firewall rule or a robots.txt change is turning it away, and it shows up well before any drop in answers.
Why does it matter for AI search?
AI engines that search the web can only use pages they can fetch. If their bots never reach your service pages, those pages have little chance of being read when a buyer asks a question.
It also helps to keep it in proportion. A page fetched every day can still be left out of answers. Citation tracking shows which pages actually get cited, and AI referral traffic shows the visits that follow. Crawler data is the first step in that chain.
How does Axiom GEO do it?
AI crawler analytics in Axiom GEO reads the access logs you send from your web server or CDN, for example Caddy logs or Cloudflare Logpush. It shows each AI bot with its visits over time, when it was last seen and the pages AI bots fetch most. It uses no credits.
Our guide to AI crawlers and robots.txt explains which bots to allow and which you may want to block.
Related terms
These terms connect to AI crawler analytics.
- AI crawler, the bots it counts.
- llms.txt, a proposed guide file for AI tools.
- Grounding, the live look-up that search crawlers support.
- AI referral traffic, the visits that can follow a citation.
Common questions
Why doesn't Google Analytics show AI crawlers?
What is the difference between AI crawler analytics and AI traffic analytics?
Related reading
AI crawler analytics
Load your server access logs for AI crawler analytics, seeing which AI crawlers, such as GPTBot, ClaudeBot and PerplexityBot, visit your site and pages.
AI crawler
A plain definition of AI crawlers such as GPTBot and OAI-SearchBot, what each type does, and why blocking one can cost you visibility.
AI crawlers and robots.txt
Which AI crawlers visit your site, what each one is for, and how to write robots.txt rules that keep you in AI search while controlling training use.
AI traffic analytics
Connect GA4 and Search Console read-only for AI traffic analytics, showing referral visits from ChatGPT, Perplexity, Gemini, Claude and Copilot, synced daily.
AI Mode
A plain definition of Google AI Mode, how it uses query fan-out, and how to see your AI Mode impressions in Search Console.
AI Overviews
A plain definition of Google AI Overviews, how pages get cited in them, and why they matter for your search traffic and your everyday visibility online.