llms.txt Validator

Validate your llms.txt file for syntax errors, structural issues, and compliance with standards. Get detailed reports with actionable recommendations to optimize your AI training documentation.

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What is llms.txt?

llms.txt is a standardized file format that helps AI language models understand and index your website content more effectively. It's placed at the root of your domain.

  • Lists important URLs for AI training
  • Supports comments and metadata
  • Plain text, easy to maintain
  • Located at /llms.txt
Example Format
# Company Website

# Main pages
https://example.com/
https://example.com/about
https://example.com/products

# Documentation
https://example.com/docs/
https://example.com/docs/api

# Blog posts
https://example.com/blog/
Quick Tips
Use comments (#) to organize sections
One URL per line
Use absolute URLs (with https://)
Keep file under 5MB
Include your most important content first

Why Validate Your llms.txt?

Ensure Compliance

Verify your file follows llms.txt standards and best practices

Catch Errors

Identify syntax errors and broken URLs before AI models index them

Optimize Content

Get recommendations to improve your AI content discovery

Frequently Asked Questions

llms.txt is a file that helps AI language models discover and index your important content. It's similar to robots.txt but designed specifically for LLMs. Having a valid llms.txt helps ensure AI systems properly understand your website structure.

Place your llms.txt file in the root directory of your website, accessible at https://yourdomain.com/llms.txt. This is the standard location where AI models will look for it.

Our validator checks syntax errors, URL validity, file structure, comment formatting, and compliance with llms.txt standards. It also verifies that your URLs are accessible and provides recommendations for optimization.

Validate your llms.txt whenever you add or remove significant content from your website, or at least monthly to ensure all URLs remain accessible and the file structure is optimal.