Implementation overview
Create LLM Content Feeds AI Feed JSON
LLM content feeds provide AI systems with structured access to your content in machine-readable formats, making it easier for AI to discover, understand, and reference your work.
AI content feeds won't directly improve your search rankings. However, they will increase your content's visibility in AI-powered search results and citation systems.
How to do it on Webflow?
1. Create dynamic collection page
Set up a new collection page with URL structure /ai-feed.json that outputs JSON instead of HTML
2. Structure the JSON output
Include fields: title, url, excerpt, author, published_date, updated_date, categories, content_type
3. Filter published content only
Use Webflow's collection filtering to only include published, non-archived content in your feed
4. Automate with Webflow MCP server
Use Webflow MCP server to automatically generate and update AI feeds when new content is published or existing content is modified
Do's
✅ Structure data consistently: Use the same JSON format across all feed entries
✅ Include full content excerpts: Provide enough context for AI systems to understand topics
✅ Update feeds automatically: Set up dynamic feeds that refresh when content changes
✅ Add content categorization: Include tags and categories to help AI understand content themes
Do's
❌ Don't include sensitive content: Only expose content you want AI systems to access
❌ Don't forget rate limiting: Implement reasonable access controls to prevent abuse
❌ Don't use complex nested structures: Keep JSON format simple and parseable
❌ Don't skip content validation: Ensure all feed entries have required fields before publishing
Tools
