Product
A platform for getting recommended by AI.
Gemmetric measures how AI systems interpret your business and then turns that into fixes you can actually deploy.
Think structure and schema, identity consistency, perception accuracy, and deltas you can track over time.
What you get after a scan
Clear fixes you can apply
You get three explainable scores, signal-level evidence, and Fix Packs with deployable schema and copy. This is designed to plug into a real workflow. Engineers can ship JSON-LD, marketers can update content blocks, and everyone can see the delta after the next scan.
See the workflow →GEO
Structural clarity
GEM
External verification
Perception
AI interpretation
GEO Score
Schema + headings opportunity
GEM Score
Listings disagree on category
AI Perception
Misidentification risk detected
Answerability
Missing intent coverage
Top Fix Pack (example)
Add LocalBusiness + Service schema, clarify primary category language, and publish an FAQ block aligned to customer intent.
Deployable output
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Your Business",
"url": "https://example.com",
"sameAs": ["https://..."]
}Fix Packs
Go from audit to deploy without the hand waving
Traditional tools stop at diagnostics. Fix Packs bundle the evidence, the recommended change, and deployable outputs. That usually means JSON-LD, updated metadata, and content blocks written for real intent queries.
See what you get →What’s wrong (evidence)
- Missing Service + FAQ schema on key pages
- Inconsistent primary category language
- Thin intent coverage for “comparison” queries
The fix (deployable)
- Generated JSON-LD (Organization / Service / FAQ)
- SEO-ready copy + metadata updates aligned to intent
- Priority ordering + estimated impact delta
Export bundle
JSON-LD snippet, copy blocks, CSV diagnostics, and a PDF-ready summary. Everything you need to implement.
Exports
Outputs teams can ship.
You should not need to translate a report into tasks. Gemmetric gives you deployable outputs that map to the signals.