AI Training Crawler: Definition and robots.txt Control

An AI training crawler collects public web content that may contribute to model development, improvement, evaluation, or safety work. A crawler-specific Disallow rule can signal that future collection is not permitted, but it does not erase previously acquired data or secure private content.

Robots.txt control stopping public web content from entering an AI model-training pipeline while search discovery remains separate

Copy-paste robots.txt example

User-agent: GPTBot
Disallow: /

User-agent: ClaudeBot
Disallow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: Claude-SearchBot
Allow: /

What an AI training crawler does

An AI training crawler is a web agent that gathers public online material for possible use in developing or improving generative AI systems. Depending on the operator, collected content may support training, fine-tuning, evaluation, safety research, data filtering, or related model-development work.

The term describes a purpose, not one universal protocol token. GPTBot and ClaudeBot are documented examples of model-development crawlers. Other controls, such as Google-Extended or Applebot-Extended, may act as product-use tokens rather than separate HTTP crawlers. Always follow the operator’s current documentation.

How it differs from AI search crawling

An AI search crawler discovers pages for search results, grounded answers, snippets, citations, or source links. A training crawler collects content for model-development purposes. Some providers publish separate agents so a site can allow search discovery while opting out of training collection.

User-requested fetchers are a third category. They may access a page because a person asked an assistant to retrieve it. Their robots.txt behavior can differ from automated training and search agents.

How to block future training crawls

Create a specific group for each documented training token and disallow the required scope. Blocking / requests that the crawler avoid the entire host. A narrower path rule can keep public marketing pages available while excluding archives, user profiles, or other sections.

Do not rely on a generic guessed token such as “AI-bot.” Crawlers match documented user-agent groups, and an invented name controls nothing. Use the allow search, block AI training template as a starting point.

What the rule cannot do

Robots.txt is prospective crawl guidance. It does not automatically delete content already collected, remove copies held by third parties, revoke licensed datasets, or control information obtained through another source. Provider-specific opt-out forms, contractual rights, or legal requests may be separate processes.

It is also not security. If information must remain private, protect it with authentication, authorization, network controls, or access-restricted storage. Publicly accessible URLs should be treated as public even when a polite crawler is disallowed.

SEO and visibility considerations

Blocking a dedicated training crawler should not block ordinary search engines unless your file also targets Googlebot, Bingbot, or a broad wildcard group. Review every group carefully. A misplaced User-agent: * rule can harm search visibility far beyond the intended AI-training policy.

When a provider separates training and search agents, keep the search agent open if AI search visibility and citations are valuable to the site. See How to Allow AI Search but Block AI Training.

Verification checklist

  1. Confirm each official training token.
  2. Publish the file at the root of every relevant host.
  3. Check that search and user-requested agents are not blocked unintentionally.
  4. Validate syntax with the robots.txt checker.
  5. Monitor server logs after the crawler refreshes robots.txt.

FAQ

What is an AI training crawler used for?

It gathers public web content that may contribute to model training, improvement, evaluation, safety, or related development work.

Is an AI training crawler the same as an AI search crawler?

No. Training crawlers support model development, while AI search crawlers discover sources for search results, grounded answers, or citations.

Does blocking a training crawler delete data already collected?

No. Robots.txt controls future compliant crawling. It does not automatically erase earlier copies, licensed datasets, or data obtained from other sources.

Can I block training but allow AI search?

Yes when the provider publishes separate tokens. Disallow the training agent and explicitly keep the search agent accessible.

Will blocking GPTBot or ClaudeBot hurt Google Search?

Not by itself. Google Search uses Googlebot. Search visibility is at risk only if Googlebot or an overly broad wildcard group is also blocked.

Related tools

Related pages

Website blocking an AI training crawler while keeping a separate search discovery route open GPTBot robots.txt Guide

GPTBot is OpenAI’s automated crawler for content that may be used to improve and train generative AI foundation models. To opt a site out of future GPTBot crawling, add a specific GPTBot group to robots.txt. This setting is separate from OAI-SearchBot and ChatGPT-User.

Website with separate routes for blocked training crawling, open search discovery, and user-requested access ClaudeBot robots.txt Guide

ClaudeBot is Anthropic’s crawler for public web content that may contribute to model development and training. A ClaudeBot-specific Disallow rule signals that future material should be excluded from Anthropic training crawls. Claude-SearchBot and Claude-User are separate agents with different purposes.

Public content remaining available to web search while a separate Gemini training and grounding route is blocked Google-Extended robots.txt Control for Gemini

Google-Extended is a standalone robots.txt control token for Gemini model training and grounding. Blocking it does not block Googlebot, remove pages from Google Search, or act as a Google Search ranking signal.

Website blocking selected AI training and dataset routes while keeping search discovery open robots.txt for AI Training: Build a Selective Opt-Out

To restrict AI training access, identify each provider’s exact training or dataset token and disallow it in a dedicated robots.txt group. Keep search crawlers in separate allowed groups, treat product-control tokens such as Google-Extended according to their documentation, and use authentication or server-side controls when access must be enforced.

Website allowing search and AI discovery routes while blocking a separate model-training collection route Allow Search, Block AI Training robots.txt Template

Use separate user-agent groups: block documented training or dataset agents such as GPTBot and ClaudeBot, while allowing ordinary search and dedicated AI-search crawlers.