Deploying the llms.txt Standard
Understand the llms.txt standard proposal, how it assists developer agents, and how to serve it at your domain root.
The /llms.txt file is an emerging community standard to present site documentation in a highly readable format for Large Language Models. When developer agents or RAG systems land on your site, they check /llms.txt to retrieve a concise roadmap of your codebase and APIs.
Implementation Guide
To implement the standard:
1. Create llms.txt
Create a plain text markdown file named llms.txt. Include your company overview, core features, and links to deeper sections.
# Shutter: AI Search Optimization Platform
Enterprise Answer Engine Optimization and dynamic semantic tracking.
## Core Docs
- Get Started: https://www.getshutter.online/docs/getting-started
- AI Readiness: https://www.getshutter.online/docs/ai-readiness2. Place in Public Directory
In Next.js, save this file under /public/llms.txt. The Vercel compiler makes this file available at the root URL immediately: https://yourdomain.com/llms.txt.
3. Verification
Test the endpoint in your browser. Ensure the content type is served as text/plain so LLM agents can parse it directly.