AI training crawlers vs AI search crawlers
Within a single AI vendor, training and search are usually handled by separate crawlers with separate robots.txt tokens. OpenAI's GPTBot crawls for training while OAI-SearchBot supports search features. Treating them as one control leads to policy mistakes.
One vendor, two purposes
AI vendors commonly separate training from search. OpenAI documents GPTBot as the crawler used to fetch content that may help train its models, and OAI-SearchBot as the crawler supporting its search features. These are different tokens with different jobs, even though both belong to OpenAI.
The same pattern recurs elsewhere: a vendor may run a background training or indexing crawler and a separate search crawler. Because the tokens are distinct, a rule for one does not affect the other.
Why you control them separately
The split lets you express a nuanced policy. You might welcome appearing in an AI search experience — which can send referral visits — while opting out of having your content used for model training. That is only possible because the search token and the training token are separate.
To act on this, target each token explicitly in robots.txt. Blocking GPTBot does not remove you from OpenAI's search features, and blocking OAI-SearchBot does not change training-crawl behaviour. Decide each independently against what you want.
- Training token example: GPTBot
- Search token example: OAI-SearchBot
- A rule for one token does not affect the other
How it appears in analytics and logs
Seeing a training token versus a search token from the same vendor tells you which surface is reaching you. GPTBot activity means training crawls; OAI-SearchBot activity means search-feature crawls. They are independent signals.
Diagnostic use case
Set robots.txt policy that allows AI search visibility while controlling AI training use, by targeting the correct per-purpose token.
What WebmasterID can help detect
WebmasterID distinguishes training and search crawlers from the same vendor server-side, so you can see, for example, GPTBot and OAI-SearchBot separately on the bot-intelligence surface rather than as one OpenAI bucket.
Common mistakes
- Assuming one vendor rule covers both training and search crawling.
- Blocking a search crawler and unintentionally reducing AI-search visibility.
- Reading combined bot counts without separating training from search.
Privacy and accuracy notes
This is a conceptual entry about crawler purposes, not visitor data. The crawlers discussed are non-human; WebmasterID records them as bot events only, separate from human analytics.
Related pages
- GPTBot — OpenAI's web crawler
GPTBot is the crawler OpenAI uses to fetch publicly available web content that may be used to help train its foundation models. It is a declared, well-documented crawler with a stable robots.txt token, and OpenAI publishes both documentation and an IP range list so operators can identify and control it.
- OAI-SearchBot — OpenAI search crawler
OAI-SearchBot is the token OpenAI uses for crawling that supports its search features. OpenAI documents it as distinct from GPTBot, which crawls for model training, and from ChatGPT-User, the real-time browsing fetcher. It identifies itself with the OAI-SearchBot token plus a self-identifying URL.
- AI search analytics
Understand how AI search surfaces crawl and reference your site.
Sources and verification notes
- OpenAI — bots documentationDocuments GPTBot (training) and OAI-SearchBot (search) as separate tokens.
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.