Current AI Search in Miro helps find boards by titles or keywords, but teams need deeper AI-powered search across actual board content.
Feature request:
Enable Miro AI to semantically search all content across Teams or Spaces, including sticky notes, text, comments, diagrams, tables, images with OCR, mind maps, and frames.
Example use cases:
- “How does our governance system work?”
- “Where did we define the propulsion technology?”
- “Show discussions about timeline inconsistencies.”
- “What decisions were made about character relationships?”
- “Summarize boards related to chapter 1.”
Instead of only returning boards, the AI should:
- synthesize answers across boards
- link to relevant frames or objects
- summarize information
- detect conflicting information
- understand concepts, not just keywords
This would turn Miro into a true organizational knowledge engine.
Why this matters:
Many teams use Miro as a central knowledge hub for large projects. As content grows, finding information becomes a major challenge.
Suggested capabilities:
- Team-wide semantic indexing
- Natural language Q&A
- AI-generated summaries
- Cross-board relationship mapping
- Automatic tagging and clustering
Especially valuable for:
- film/TV/game production
- writers’ rooms
- product development
- research teams
- education
Expanding Miro AI into true semantic retrieval would make Miro a leading creative knowledge platform.
