Choose canonical pages
Include getting started, API overview, authentication, limits, changelog, pricing explanation, support policy, and migration guides.
Scenario
Documentation sites are often deep, versioned, and difficult for assistants to summarize correctly. An llms.txt file gives a curated starting point without asking agents to crawl every page.
Include getting started, API overview, authentication, limits, changelog, pricing explanation, support policy, and migration guides.
Avoid generated anchors, internal search, deprecated versions, duplicate examples, and account-only documentation.
Each link should explain why the page matters so an assistant can choose the right source quickly.
Review the file after product launches, API version changes, documentation reorganizations, and pricing or policy updates. A stale llms.txt can be worse than no file because it points assistants toward the wrong canonical source.
AI crawler access control
LLMs.txt Map for Documentation Sites is maintained for website owners, publishers, SaaS documentation teams, ecommerce operators, and SEO teams who need scenario policy planning. 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.
Decide whether the content primarily needs protection, search discoverability, citation visibility, or operational clarity for teammates maintaining the site.
Translate that decision into robots.txt groups, sitemap references, noindex rules where appropriate, and a short llms.txt map for public high-value pages.
Record assumptions, test representative URLs, and keep a copy of the previous policy so a drop in crawler activity or search visibility can be investigated.
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.