BlueprintLab Guide

robots.txt, llms.txt, and X-Robots-Tag for AI crawlers

Separate AI crawler configuration into access directives, guidance metadata, and indexing directives so each file or header is used for the right job.

Use each mechanism for its own job

robots.txt is a crawler access directive. It can tell a compliant crawler which paths should not be fetched, but it is not authentication or a hard security boundary. llms.txt is an emerging convention for describing useful site content to language-model tooling; it should not be treated as a standardized access-control mechanism. X-Robots-Tag is an HTTP indexing directive that can express noindex, nofollow, snippet limits, and related instructions.

Decide what you are trying to control

  1. If the question is whether a crawler may fetch a path, start with robots.txt and the crawler vendor documentation.
  2. If the goal is to provide a concise content map, llms.txt can be used as optional guidance where appropriate.
  3. If the question is whether a fetched response should be indexed or shown in snippets, use indexing directives such as X-Robots-Tag or meta robots where supported.

Keep vendor-specific rules reviewable

AI crawler names and product policies can change. Keep each user-agent block separate and document why it exists, then re-check the vendor documentation when your policy changes. Avoid assuming that one file controls training, search indexing, and crawling at the same time.

Tools used in this guide

Related topics