What is AI crawler?
A bot that fetches your pages on behalf of an AI company.
An AI crawler is an automated agent that reads your site for an AI company, to train a model, to build a live answer, or because a user referenced your link. Examples include GPTBot, ClaudeBot, PerplexityBot and Google-Extended.
It matters because nothing downstream happens until a crawler reaches you: no crawl, no citation, no AI traffic. Telling the real bots from spoofed user-agents (via reverse-DNS verification) and not wasting their effort (see crawl waste) are the basics. The full primer is in What is an AI crawler; CiteTrack logs and classifies all of them in AI crawler analytics.
Why — and when — does it matter?
Crawler data tells you whether an AI service requested a page and why. It does not, by itself, prove that the page was indexed, used, quoted or cited.
How it works
A bot requests a URL with an identifying user-agent.
The server allows, limits or blocks the request.
Logs record the IP, path, response and timing.
Verification distinguishes a real operator from a spoofed name.
Answer-side monitoring checks whether crawling led to visibility.
Worked example
GPTBot fetches 400 parameter URLs but never reaches a product guide. The business fixes internal links and crawl waste; the useful signal is page coverage, not the raw hit count.
How to track and report it
Reporting rule: State the engine, prompt set, market, time window and denominator. A number without scope cannot be reproduced or compared.
Practical playbook
- A bot requests a URL with an identifying user-agent.
- The server allows, limits or blocks the request.
- Logs record the IP, path, response and timing.
- Verification distinguishes a real operator from a spoofed name.
- Answer-side monitoring checks whether crawling led to visibility.
Common mistakes
- Trusting user-agent text alone
- Equating bot hits with citations
- Blocking every AI crawler with one rule
Questions people ask
What is AI crawler?
A bot that fetches your pages on behalf of an AI company. Crawler data tells you whether an AI service requested a page and why. It does not, by itself, prove that the page was indexed, used, quoted or cited.
How does AI crawler work?
A bot requests a URL with an identifying user-agent. The server allows, limits or blocks the request. Logs record the IP, path, response and timing. Verification distinguishes a real operator from a spoofed name. Answer-side monitoring checks whether crawling led to visibility.
How do you measure AI crawler?
Verified hits and unique pages crawled. Status codes, crawl frequency, waste rate and days since last crawl. Crawl waste rate = non-value bot requests ÷ verified bot requests × 100
What is a common mistake with AI crawler?
Trusting user-agent text alone. The scope and methodology should be stated before interpreting the result.
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