Which sites use llms.txt?

While the llms.txt standard is still in its early stages and awaits official adoption by major AI platforms, it has already gained significant traction among a forward-thinking group of companies, particularly in the tech sector. These early adopters are paving the way, demonstrating the practical value of providing curated, machine-readable content for Large Language Models (LLMs).

 

How many sites are using llms.txt?

The adoption of llms.txt is growing rapidly, driven by a grassroots movement within the developer community. Community-managed directories serve as living catalogs of this momentum.

For instance, the llms.txt directory from llms-text.com lists over 784 websites that have implemented llms.txt or llms-full.txt files, offering a wealth of real-world examples. Other hubs include llmstxt.site and directory.llmstxt.cloud.

An analysis of these directories reveals that adoption is heavily concentrated in sectors where the accuracy of technical information is paramount, such as AI & Machine Learning, Developer Tools, and SaaS.

 

Examples of sites using llms.txt

Several notable technology companies have implemented llms.txt to optimize their extensive documentation for AI consumption. Their use cases serve as a powerful signal of the standard's potential.

 

Tech and AI Leaders

• Cloudflare: Known for its comprehensive technical documentation, Cloudflare uses llms.txt to help AI systems navigate its vast knowledge base. They even provide multiple, product-specific llms-full.txt files for different services, allowing an AI to fetch only the most relevant context.

• Anthropic: As a leading AI research company, Anthropic uses llms.txt for its own documentation, signaling its belief in the standard's value for AI-focused content. Their file is a model of comprehensiveness, mapping out everything from their core API to a large library of prompts.

• Vercel: The popular frontend development platform, Vercel uses llms.txt and llms-full.txt files. Their llms-full.txt is famously extensive, described as being like "a 400,000 word novel," which showcases the scale possible with the standard.

• ElevenLabs: This prominent voice AI technology company, ElevenLabs uses llms.txt for its API documentation and product guides, highlighting its utility for developer-focused platforms.

 

Developer-focused Platforms

• Supabase llms.txt: Supabase, an open-source alternative to Firebase, provides a great example of a minimalist and efficient llms.txt file. Their file contains a simple H1 header and a list of links pointing directly to raw text files of their client library documentation. This no-frills approach acts as a simple router, directing AI agents to precise technical information, which is a critical part of their AI-first platform strategy.

• Firecrawl llms.txt: Firecrawl, a company that offers an API service to turn websites into LLM-ready data sources, also utilizes the standard. Their service is designed to intelligently crawl a site, filter out clutter, and automatically generate both llms.txt and llms-full.txt files, effectively productizing the workflow that the standard enables.

 

These examples demonstrate a clear trend: companies whose audiences are already interacting with their content via AI are seeing the immediate value in adopting

llms.txt. As more high-quality content becomes available in this structured format, the pressure on LLM providers to integrate it for better performance and user experience will likely grow, accelerating the standard's path to widespread recognition.

Join the growing list of websites using llms.txt files

See how industry leaders are structuring their content for AI and get inspired. Then, create your own file and add your site to the growing ecosystem of AI-optimized websites.

Add your site to the llms.txt directory or just explore the directory!

 

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