Why It Matters for Product Managers
As a product manager, llms.txt implementation affects how AI represents your product. llms.txt is an emerging standard (similar to robots.txt) that provides explicit instructions to AI systems about your content, preferences, and key information.
Implementation Steps
Research the current llms.txt specification
Create an llms.txt file in your site root
Include key information about your organization
List important pages and documentation
Specify content preferences and guidelines
Add contact information for AI system operators
Monitor for AI system adoption
Action Items for Product Managers
Research the current llms.txt specification
Create an llms.txt file in your site root
Track how product changes impact llms.txt Implementation results
Use tactic insights to refine product positioning
Share findings with marketing and engineering teams
Common Mistakes
Overly complex or lengthy files
Not keeping the file updated
Missing key organizational information
Incorrect file location or format
Recommended Tools
Text editor for file creation
llms.txt validators (as they emerge)
File serving configuration
Monitoring for AI access
Reporting Tips for Product Managers
Track llms.txt Implementation implementation progress weekly
Benchmark results against competitors for context
Segment by product or feature to identify top performers
Track before/after metrics for product launches
Include qualitative user feedback alongside data