llms.txt Generator
We'll generate a comprehensive llms.txt file tailored to your site so AI agents can read it at the root of your domain
Why llms.txt Matters for the Agentic Web
The web is shifting from being browsed by people to being browsed by agents. ChatGPT, Claude, Perplexity, and emerging agentic browsers visit sites on behalf of users — reading content, comparing options, and taking actions. An llms.txt file is a machine-readable summary placed at the root of your domain that gives those agents a concise, structured map of your site. It sits alongside semantic HTML and emerging standards like WebMCP as one of the core discoverability signals checked in Lighthouse's agentic browsing audits.
Agent-Ready Discovery
Give AI agents a fast, reliable entry point to your site so they don't have to guess at structure or intent
Machine-Readable Structure
Provide a clean Markdown summary that agents can parse instantly — no DOM crawling or rendering required
Control Your Narrative
Tell agents exactly what you do, who you serve, and which pages matter most — instead of leaving it to inference
Who Should Publish an llms.txt?
- SaaS Companies:Make sure agents describe your features accurately when users ask them to compare tools
- E-commerce Businesses:Help AI shopping agents surface your catalog when users delegate buying decisions
- Service Providers:Tell agents where you operate, what you offer, and how to start a conversation
- Content Creators & Docs:Point agents directly at your canonical sources so citations stay accurate
From SEO to Agentic Browsing
Traditional SEO optimizes for human searchers on Google. Agentic browsing optimizes for AI agents that visit, read, and act on your site on behalf of users. llms.txt is one of the simplest, highest-leverage things you can ship today: a Markdown file at your domain root that summarizes who you are and what each section is for. Lighthouse already audits for its presence as a discoverability signal — and AI assistants are increasingly picking it up as well.
- • AI agents and assistants are becoming a primary discovery surface, sitting between users and the open web
- • llms.txt gives agents a structured summary they can read without crawling or rendering your full site
- • Lighthouse's agentic browsing category checks for llms.txt at your domain root as a discoverability signal
- • Pairs naturally with semantic HTML, strong accessibility, and emerging standards like WebMCP
How llms.txt Fits Into the Agentic Browsing Stack
- 1. Generate: Create an llms.txt that summarizes your business, key pages, and intent
- 2. Deploy: Serve it at
yourdomain.com/llms.txtso it's discoverable at the root - 3. Discovered: AI agents and audits like Lighthouse find and parse the file
- 4. Understood: Agents use the structured summary to navigate your site efficiently
- 5. Acted on: Agents cite, recommend, or transact on your site with accurate context
Be the brand AI recommends
Monitor your brand's visibility across ChatGPT, Claude, Perplexity, and Gemini. Get actionable insights and create content that gets cited by AI search engines.
