What is llms.txt?
llms.txt is a proposed standard — similar to robots.txt — that provides a structured, high-signal summary of a website's content specifically for large language models. Instead of forcing an LLM to parse raw HTML or crawl hundreds of pages, llms.txt gives it a single document with the information it actually needs.
The file typically includes a site overview, key pages and their purpose, API references, getting-started instructions, and other content that helps an LLM answer questions about the site accurately.
Why it matters
LLMs have limited context windows. Feeding them entire websites is wasteful and often impossible. A well-crafted llms.txt solves this by distilling a site into exactly the kind of structured content that LLMs work best with:
- Reduced noise — no navigation, footers, ads, or boilerplate. Just the substance.
- Better answers — LLMs get clear context about what the site does, how its APIs work, and where to find specific information.
- Token efficiency — a single file replaces hundreds of pages worth of crawled content.
- Consistency — every query against the site gets the same high-quality context, regardless of which pages the LLM might have otherwise discovered.
How the generator works
The 1tt.dev llms.txt Generator automates the entire process. You provide a URL, and it handles crawling, content extraction, and AI-powered summarization.
Paste a URL — the tool checks if the site has been crawled recently. If a cached version exists, you can use it or start fresh.
Choose scan depth — select how deep the crawler should go. Auto lets the tool decide based on the site structure. You can also set 1, 3, or 5 levels for more control.
Pick a detail level — overview produces a compact summary, standard covers the main content, and detailed includes deeper technical information.
Download or publish — once generated, you can download the file, copy the content, or publish it to a permanent URL that you can reference from your site.
Under the hood
The crawler uses Cloudflare browser rendering to handle JavaScript-heavy sites. It discovers pages through sitemaps, internal links, and common documentation patterns. The extracted content is then processed by Claude to produce a structured, LLM-friendly summary.
Use cases
RAG pipelines
If you're building a retrieval-augmented generation system, llms.txt gives you a clean, pre-processed document to index. Instead of chunking raw HTML and dealing with extraction noise, you get structured content that's already optimized for LLM consumption.
AI assistants and chatbots
Building a support bot or documentation assistant? Include the site's llms.txt in the system prompt or context window. The LLM gets a complete picture of the product without needing to crawl anything at runtime.
Open-source project context
Generate an llms.txt for your project's documentation site and commit it to the repo. AI coding tools like Claude Code, Cursor, or GitHub Copilot can use it to understand your project's APIs, conventions, and architecture.
SDK and API documentation
API docs are often spread across dozens of pages with complex navigation. An llms.txt file condenses endpoints, parameters, authentication flows, and error codes into a single reference that fits in a context window.
Internal knowledge bases
Point the generator at your company's internal docs or wiki. The resulting file can be used as context for internal AI tools, onboarding assistants, or automated Q&A systems.
Publishing your llms.txt
After generating a file, you can publish it to get a permanent URL like https://1tt.dev/llms/your-site/llms.txt. Add this to your site's root or reference it in your robots.txt:
# robots.txt User-agent: * Allow: / # LLM context Llms-txt: https://1tt.dev/llms/your-site/llms.txt
Published files can be updated by re-running the generator. The URL stays the same, so anything referencing it gets the latest version automatically.