How To Audit Website For Ai Crawler Access

GPTBot, OpenAI's training crawler, is one of the agents to check first. Check OAI-SearchBot, which surfaces websites in ChatGPT search, and ChatGPT-User, which fetches pages for user-initiated actions. Check PerplexityBot, Perplexity's real-time crawler, and Googlebot, which covers Google Search, AI Overviews and AI Mode. Also review Google-Extended and Applebot-Extended, which are control tokens rather than crawlers. Specifically, confirm each name against the operator's current documentation before writing rules.

No. According to [Ansvisor's audit guide](https://www.ansvisor.com/blog/how-to-check-if-ai-crawlers-can-access-your-website), Google-Extended is a control token rather than a crawler. Blocking it therefore does not remove a site from Google Search or Apple search features. However, pages must still pass normal Googlebot access checks, because Googlebot governs Search, AI Overviews and AI Mode.

Find the User-agent group that matches the bot name. Fall back to the wildcard group only if no specific group exists. However, a bot with its own group ignores the User-agent: * group, so Disallow rules must be repeated inside that specific group. A rule reading User-agent: X followed by Disallow: / asks that crawler not to fetch the site. Specifically, test individual paths rather than just the homepage.

No. According to [LLM Pulse](https://llmpulse.ai/blog/website-ai-bot-access/), robots.txt is not an access-control system. According to [Linklumin](https://linklumin.com/how-to-audit-your-site-for-ai-crawler-access/), many AI crawlers ignore its directives. For example, a permissive robots.txt file can still coexist with a firewall that blocks the request. Only server or CDN logs show what actually happened on the wire.

A web application firewall or CDN bot module is a security layer that filters incoming requests. These layers often challenge or drop requests from unfamiliar automated clients, and they do so without any intent to block AI bots. According to [Conbersa's guide](https://www.ansvisor.com/blog/how-to-check-if-ai-crawlers-can-access-your-website), audits should review robots.txt, WAF rules and CDN bot settings together. Specifically, **look for managed bot challenges**, rate limits and geographic rules that return 403 or 429 responses to crawler IP ranges.

Filter raw access logs or CDN logs for each user-agent string. Then check the status codes returned, such as 200 versus 403 or 503. Compare source IPs against the operator's published IP lists, since OpenAI publishes these for each of its bots. Verified hits with 200 responses on key URLs are the strongest evidence of real access. However, log entries alone only confirm requests that reached your server.

Check for noindex meta tags or X-Robots-Tag headers, canonical tags that point elsewhere, login walls, soft 404s, redirect chains and non-200 status codes. Pages that require JavaScript to render key content may also be missed by crawlers that do not execute scripts. Test each target URL as a crawler would receive it, not as a logged-in browser sees it.

Training crawlers such as GPTBot and Google-Extended collect content for model training and grounding. Search crawlers such as OAI-SearchBot and PerplexityBot index pages so answer engines can surface and cite them. User-triggered fetchers such as ChatGPT-User retrieve a page because a person asked, and according to [OpenAI's crawler documentation](https://llmpulse.ai/blog/website-ai-bot-access/), robots.txt rules may not apply to those fetches. Decide allow or block for each category separately.

According to [OpenAI's crawler documentation](https://llmpulse.ai/blog/website-ai-bot-access/), **robots.txt changes can take about 24 hours to reach search results**. The effect on citations can lag further. Re-run the audit after every CDN, WAF or CMS change. Specifically, schedule a recurring log review, because a single bot-protection update can silently block crawlers that were previously allowed.