What is AI Crawler Analytics?
AI crawler analytics is the measurement of which AI bots visit your website, which pages they request, how often they return and whether they can read what they find. It turns server-side data into a clear picture of how AI systems consume your content.
The visitors in question are AI crawlers such as GPTBot, OAI-SearchBot and ChatGPT-User from OpenAI, ClaudeBot from Anthropic, PerplexityBot from Perplexity and CCBot from Common Crawl. Some collect training data while others fetch pages in real time to answer a question, and that difference matters for how you treat them.
Standard analytics tools miss this activity. GA4 relies on a JavaScript tag, which many AI crawlers never run, and it filters out known bots anyway. AI crawler analytics therefore works from server logs, CDN data or a server-side plugin.
Why AI Crawler Analytics matters
Crawling comes before citing. If AI crawlers never reach a page, or only see an empty shell because the content loads with JavaScript, that page is unlikely to be used as a source in AI answers. Server-side rendering is often the fix. This makes crawler activity a leading indicator: changes here often show up in your citation rate weeks later.
It also shows whether your robots.txt rules and firewall settings work as intended. Sites sometimes block AI bots by accident through a CDN setting or a broad rule, or let in bots they meant to keep out.
How to use AI Crawler Analytics
Collect server-side data: raw access logs, CDN logs or a plugin that records bot requests.
Identify AI crawlers by their user agent, and verify important ones against the IP ranges that several AI companies publish, since user agents are easy to fake.
Check which pages they request most and which key pages they never visit.
Look for errors, redirects and blocked requests that stop crawlers from reading your content.
Compare crawl activity with your citation data to see which crawled pages actually get used.
Trackbase Crawler Analytics shows which AI crawlers visit your site and what they read, through a WordPress plugin or a Cloudflare integration.
Examples of AI Crawler Analytics
A B2B payroll software vendor finds that OAI-SearchBot never reaches its pricing page because of a redirect loop, and fixes it within a day.
A Dutch bicycle webshop sees ClaudeBot and PerplexityBot crawling old blog posts while skipping product pages that are only linked through a JavaScript menu.
A publisher discovers that a firewall rule blocks every AI crawler, including the search bots it wants to allow, and adjusts the rule per bot.
A SaaS company sees GPTBot visits to its new documentation rise after linking those pages from its main navigation.
Frequently asked questions
Why doesn't Google Analytics show AI crawlers?
GA4 records visits through a JavaScript tag that runs in the visitor's browser. Many AI crawlers only download the raw HTML and never run that script, and GA4 also filters out known bot traffic. To see AI crawlers, you need server-side data such as access logs, CDN logs or a plugin that records requests before any JavaScript is involved.
What is the difference between training crawlers and search crawlers?
Training crawlers, such as GPTBot and CCBot, collect pages that may be used to train future models. Search crawlers, such as OAI-SearchBot and PerplexityBot, fetch pages to answer questions or keep a search index current. User-triggered agents like ChatGPT-User visit a page when someone asks about it. Blocking one type does not automatically block the others.
How often do AI crawlers visit a website?
It varies widely by crawler, site size, authority and how often your content changes. Some bots return to popular pages daily, while others visit rarely or only when a user asks about a page. Rather than aiming for a number, watch the trend: rising visits to key pages after an update are a good sign, and sudden drops often point to a technical block.