What is llms.txt and why teams publish it alongside robots

What is llms.txt?

LLMs.txt is a companion file to robots.txt that provides human-readable guidance for AI systems and large language models. While robots.txt controls crawler access, llms.txt explains how AI systems should treat and attribute your content when it's used for training or summarization.

The difference between robots.txt and llms.txt

These two files serve complementary but distinct purposes:

Why publish llms.txt?

LLMs.txt serves several important functions in the AI ecosystem:

• Clear usage guidelines: Explain how AI systems can use your content
• Attribution requirements: Specify how you want to be credited
• Contact information: Provide escalation paths for questions
• Content scope: Define which domains and content types are covered
• Legal compliance: Align with terms of service and privacy policies
• Brand protection: Prevent misuse of your content and trademarks

What to include in llms.txt

Basic information

• Organization details: Who operates the site and contact information
• Scope: Which domains and content are covered by this policy
• Last updated: When the policy was last reviewed
• Version: Policy version for change tracking

Usage permissions

• Training data: Can your content be used for model training?
• Summarization: Are AI-generated summaries allowed?
• Commercial use: Can content be used in commercial AI products?
• Derivatives: Are derivative works permitted?

Attribution requirements

• Citation format: How should your content be cited?
• Trademark usage: How can your brand be referenced?
• Link requirements: Should links back to your site be included?

Sample llms.txt content

# Example llms.txt for a content website

# Organization Information
Organization: Example Media Inc.
Website: https://example.com
Contact: ai-policy@example.com
Last Updated: 2026-01-05
Version: 1.0

# Content Scope
This policy applies to all content published on example.com and its subdomains.

# Usage Permissions
## Training Data
You may use our publicly available content for training large language models, subject to the following conditions:
- Content must be accessed through public URLs
- No circumvention of paywalls or access restrictions
- Respect robots.txt directives

## Summarization and Analysis
You may generate summaries, analyses, or insights from our content for:
- Research purposes
- Educational use
- Non-commercial applications

## Commercial Use
Commercial use of our content in AI applications requires:
- Explicit written permission
- Revenue sharing agreement
- Proper attribution

# Attribution Requirements
When using our content, you must:
1. Clearly identify the source as "Example Media Inc."
2. Include a link to the original article
3. Not imply endorsement or affiliation
4. Use the following citation format:

"Source: Example Media Inc. (https://example.com/article)"

# Prohibited Uses
The following uses are strictly prohibited:
- Creating competing products or services
- Misrepresenting our content or opinions
- Using our trademarks without permission
- Violating applicable laws or regulations

# Contact Information
For questions about this policy:
Email: ai-policy@example.com
Response Time: Within 5 business days

# Changes to This Policy
We may update this policy at any time. Changes will be effective immediately upon posting. Continued use of our content after changes constitutes acceptance of the new policy.

Implementation best practices

File location and naming

• Publish at /llms.txt (conventional location)
• Use UTF-8 encoding
• Keep the file accessible and crawlable
• Include in your sitemap if desired

Content guidelines

• Be specific: Use clear, unambiguous language
• Align with legal: Ensure consistency with terms of service
• Provide examples: Include citation formats and use cases
• Include contacts: Make escalation paths clear
• Version control: Track changes with dates and versions

Legal considerations

While llms.txt provides guidance, it doesn't replace legal agreements:

• Not legally binding: Consider it advisory rather than contractual
• Terms of service: Your full terms still apply
• DMCA compliance: Maintain takedown procedures
• International law: Consider jurisdiction and applicable laws

Industry adoption

Several organizations have adopted llms.txt:

• WordPress: Provides guidance for AI content usage
• GitHub: Includes AI training permissions
• Various publishers: Define attribution and usage rights
• Tech companies: Clarify AI interaction policies

Tools and resources

Generation tools

• LLMs.txt generators: Online tools for creating policy files
• Templates: Pre-built templates for different industries
• Legal review: Consult lawyers for industry-specific guidance

Validation

• Syntax checkers: Validate file format and structure
• Legal review: Have policies reviewed by legal counsel
• Stakeholder input: Get feedback from relevant teams

Monitoring and enforcement

Once published, monitor compliance:

• Content monitoring: Watch for unauthorized use
• DMCA notices: Use takedown procedures when needed
• Regular updates: Review and update policies periodically
• Industry changes: Stay current with AI developments

Future of AI content policies

As AI technology evolves, content policies will become more sophisticated:

• Machine-readable formats: Structured data for AI systems
• Automated enforcement: Technical measures to prevent misuse
• Industry standards: Common frameworks across organizations
• Regulatory compliance: Alignment with emerging AI regulations

Conclusion

LLMs.txt represents a proactive approach to AI content governance. By clearly communicating your policies, you can protect your content while enabling appropriate AI usage. Regular updates and legal review will ensure your policy remains effective as the AI landscape evolves.