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llms.txt Adoption — Who Uses It?

Real evidence of who has deployed llms.txt: major documentation platforms, developer-focused companies, open-source projects, and the AI tools that read it natively.

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Adoption snapshot

Since Jeremy Howard proposed llms.txt at Answer.AI in September 2024, adoption has grown from a handful of early experiments to tens of thousands of deployed files. The acceleration accelerated sharply in 2025 when major documentation hosting platforms added automatic generation.

The clearest signal of a format's success is when the infrastructure adopts it — platforms serve thousands of sites each, multiplying reach without requiring individual developers to take action.

Documentation platforms

The largest force-multipliers in llms.txt adoption are documentation hosting platforms that generate the file automatically for every project:

  • Mintlify — one of the first major platforms to ship automatic llms.txt generation. Thousands of API documentation sites powered by Mintlify expose llms.txt and llms-full.txt without any developer configuration.
  • GitBook — added llms.txt auto-generation in 2025. GitBook hosts documentation for hundreds of developer-facing companies; all of them now serve the file automatically.
  • Read the Docs — the widely-used open-source documentation hosting platform added llms.txt support, covering a large portion of Python ecosystem projects.
  • Docusaurus (Meta) — a popular plugin generates llms.txt for Docusaurus sites. Many of the largest open-source project doc sites (React, Babel, Jest, etc.) use Docusaurus.
  • VitePress / VuePress — community plugins add llms.txt generation to these static documentation generators, used by Vue.js ecosystem projects.

Companies and projects

Notable early adopters across developer tooling, AI, and infrastructure:

  • Anthropicanthropic.com/llms.txt and docs.anthropic.com/llms.txt provide structured access to Claude documentation.
  • Cloudflare — developer documentation at developers.cloudflare.com/llms.txt with a comprehensive index of Workers, Pages, and AI Gateway docs.
  • Vercelvercel.com/docs/llms.txt serves an index of platform documentation for AI coding assistants.
  • Supabasesupabase.com/docs/llms.txt covering database, auth, storage, and edge function documentation.
  • PlanetScale, Neon, Turso — database-as-a-service providers that cater to AI developers have been quick adopters.
  • FastAPI, Pydantic, Ruff — leading Python ecosystem projects expose llms.txt to improve how AI assistants understand their APIs.
  • Tailwind CSStailwindcss.com/llms.txt helps AI coding assistants provide accurate class suggestions.

AI tools with native support

Beyond the sites that publish llms.txt, these tools actively read it:

  • Cursor — the AI code editor fetches llms.txt when you add a URL as a project context source. This is the primary driver of developer awareness of the format.
  • Perplexity — has officially announced support, with PerplexityBot reading llms.txt to prioritize indexing.
  • LlamaIndex — built-in LlmsTxtReader that parses the file and fetches linked pages to populate a vector index.
  • LangChain — community LlmsTxtLoader integration for building RAG pipelines from any llms.txt-enabled site.
  • Firecrawl — uses llms.txt to guide site crawls, prioritizing linked pages when building knowledge bases.
  • Cline, Aider, Continue.dev — open-source AI coding tools that support URL context all benefit from llms.txt.

Why adoption is accelerating

Three factors are driving rapid adoption:

  1. Platform multipliers — when a documentation platform ships auto-generation, thousands of sites adopt it overnight without any developer effort.
  2. AI coding assistant demand — Cursor, Copilot, and Cline users actively request llms.txt from their libraries. Maintainers are responding to real demand.
  3. Zero cost, immediate value — a static text file with no infrastructure requirements and measurable benefit to AI tool users is an easy yes for most developer-facing projects.

Check if a site has llms.txt by visiting https://<domain>/llms.txt or using the validator to analyze the file structure.

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