LLMs.txt Explained

LLMs.txt is a new web standard that provides information about a website to large language models (LLMs) in a format they can easily understand. It was proposed by Jeremy Howard, co-founder of Answer.AI, to solve the technical challenge of AI systems processing large documentation sites. Unlike sitemap.xml and robots.txt, which are designed for search engines, LLMs.txt is optimized for reasoning engines. It helps overcome context window limitations and presents content in a structure optimized for AI processing. To use LLMs.txt with AI systems, you must manually provide the file content to the AI system. Tools like Mintlify, dotenvx, and Firecrawl can help generate LLMs.txt files. The adoption of LLMs.txt represents a shift toward AI-first documentation, and it will likely become crucial for dev tools and docs as more sites adopt this file.