Scope
GPTBot vs OAI-SearchBot vs ChatGPT-User explains a focused part of AI crawler control instead of trying to replace security, legal review, or platform documentation.
OpenAI crawler decisions
OpenAI documents multiple crawler and fetcher roles. Treating them as one bot can accidentally block the traffic you want or allow the training access you meant to restrict.
| User-agent token | Role | Typical balanced decision |
|---|---|---|
| GPTBot | Training crawler | Block when you do not want public pages used for future model improvement. |
| OAI-SearchBot | Search crawler | Allow when you want eligibility for OpenAI search discovery and citations. |
| ChatGPT-User | User-triggered fetcher | Allow for public pages so users can ask ChatGPT to retrieve a page. |
User-agent: GPTBot Disallow: / User-agent: OAI-SearchBot Allow: / User-agent: ChatGPT-User Allow: /
Review this with the generator before publishing. Add private paths under each allowed group if there are public URL patterns you still want crawlers to skip.
AI crawler access control
GPTBot vs OAI-SearchBot is maintained for website owners, publishers, SaaS documentation teams, ecommerce operators, and SEO teams who need crawler policy operations. The goal is to help visitors complete a real task and leave with a robots.txt draft, llms.txt draft, crawler audit note, or crawler policy decision record, not only read a generic summary.
GPTBot vs OAI-SearchBot vs ChatGPT-User explains a focused part of AI crawler control instead of trying to replace security, legal review, or platform documentation.
The page should help a visitor produce or validate a concrete policy artifact: robots.txt, llms.txt, a decision note, a test checklist, or an internal review summary.
The final result should be checked against live URLs, current crawler documentation, and the business reason for allowing or blocking each crawler class.
Field workflow
A crawler policy is valuable only when someone can explain it later. Use the notes below to turn this page into a saved decision record instead of a one-time copied snippet.
Before touching robots.txt, write one plain-language sentence: "We want normal search visibility, we want AI answer visibility for public pages, and we do not want training crawlers to collect licensed archives." If the intent is not clear, the file often becomes a long block list that nobody maintains. A short intent statement also helps you decide whether a future crawler belongs with training, search, user-triggered retrieval, or normal indexing.
Do not test only the homepage. Choose one article or documentation page, one product or pricing page, one sitemap URL, one login or account path, and one intentionally private path. The file should express different outcomes where the business logic is different. This matters because broad rules can accidentally block useful search pages while still failing to protect sensitive paths that need authentication.
Save the date, the old rule, the new rule, and the reason for the change. If traffic drops, citations disappear, or a crawler starts hitting expensive paths, that note makes debugging much faster. A good note names the crawler role, the URL group affected, and the review owner who can change the policy later.
This extra review layer is intentionally practical. It helps BotAccess Lab pages answer a real operational question, produce a durable artifact, and avoid the kind of thin, generic explanation that fails when a user has to make a production change.