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Training Data

LH
Lawrence Hitches
23 September 2026 4 min read

Definition

Training data is the text a model learns from before it answers anything. For large language models that includes a great deal of the public web, which is why each AI company documents a crawler you can block to signal that you do not want your content used.

Example. A model that describes your product without citing a source is drawing on training data. A model that links your page fetched it at the time of the question.

You can see which training and search crawlers your robots.txt currently allows with the free AI Crawler Access Checker.

How do you keep your content out of training data?

You opt out by disallowing each company's training crawler in robots.txt, and the tokens are documented by the companies themselves.

TokenCompanyWhat blocking it signals
GPTBotOpenAIYour content should not be used to train their foundation models
ClaudeBotAnthropicFuture materials should be excluded from training datasets
Google-ExtendedGoogleContent may not be used for training Gemini models. Does not affect inclusion in Google Search
CCBotCommon CrawlExclusion from an open crawl archive that many datasets are built from

Does blocking a crawler remove you from a model?

Blocking a crawler does not remove you from a model. It applies to future training, not to a model that has already learned from your pages. This is the single most common misunderstanding about the whole subject, and no opt-out on the list above is retroactive. Anthropic also notes that blocking by IP address may not work reliably as an opt-out.

What do you lose by opting out?

What you lose depends entirely on which crawler you block, because training bots and search bots are different. Block the training crawler and you stay in AI search results. Block everything and you remove yourself from answers people are asking right now, which is usually the opposite of the intent. Our AI crawlers page has the full list by job.

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