Product
See how AI systems understand your business, where confidence breaks, and what to fix next.
Gemmetric gives businesses a practical system for measuring AI Visibility, reviewing the signals behind it, and producing fix-ready outputs teams can actually ship.
That includes score breakdowns, situation summaries, priority issues, deployable recommendations, and re-scan validation after changes go live.
Start with a free snapshot or create your workspace to unlock the full workflow.
Product anatomy
What teams actually get from the product
Buyers need a simple answer: what shows up after the scan, what the team can act on, and what comes out the other side.
What you see
A score view, pillar breakdowns, and evidence that explain where confidence is strong, thin, or breaking.
What the scan produces
Situation summaries, top priorities, and diagnostics tied to the signals limiting current AI Visibility.
What the team can ship
Fix-ready outputs such as schema, metadata, copy, FAQ, and structured recommendations built for implementation.
What happens next
Re-scan validation so the team can compare deltas, verify progress, and decide the next round of work.
What you get after a scan
Clear fixes you can apply
On supported plans, you get pillar scores for GEO, GEM, AI Perception, and AI Identity, plus the blended AI Visibility Score and Fix Packs with deployable schema and copy. Engineers can ship JSON-LD, marketers can update content blocks, and everyone can see the delta after the next scan.
See the workflow →GEO
On-site readiness
GEM
Off-site corroboration
Consistency • Freshness • Coverage
AI Perception
Current model understanding
Awareness, trust, and interpretation quality
AI Identity
Canonical identity loop
Ledger • Gateway • Validation • Observation
AI Visibility
Roll-up across four pillars
GEO Score
Schema + metadata opportunity
GEM Score
Corroboration gaps detected
AI Perception
Interpretation confidence is mixed
AI Identity
Gateway + validation incomplete
AI Visibility Score
Blended view across all four pillars
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 can mean GEO fixes, GEM corroboration work, AI Identity publishing steps, and copy updates shaped by what AI Perception is showing now.
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)
- GEO fixes: JSON-LD + metadata + intent-aligned copy
- GEM fixes: strengthen corroboration across profiles, listings, and trusted references
- AI Identity fixes: publish and validate a clearer canonical identity
- Priority ordering shaped by current AI Perception blockers
Export bundle
JSON-LD snippet, copy blocks, CSV diagnostics, and a PDF-ready summary. Everything you need to implement.
Scan outputs
What a Gemmetric scan produces and what your team can ship
A strong product page should connect the scan to action. The scan produces context, priorities, and evidence. The team receives outputs they can publish, share, and validate in the next pass.
Score snapshot
AI Visibility plus the four pillar scores summarized for the current scan.
Situation overview
A concise summary of what is strong, what is failing, and what is limiting visibility now.
Top priorities
The highest-impact issues to address first, based on signal weight and current blockers.
Fix-ready recommendations
Schema, metadata, copy, and FAQ recommendations that can be shipped directly.
Reporting exports
CSV exports, PDF-ready summaries, and evidence views built for stakeholders, operators, or client review.
Re-scan validation
A follow-up scan to confirm what improved, what remains constrained, and what to prioritize next.
Policy facts
Authorization and competitor policy
Verified access only
Full analysis and recommendations are for verified site owners or authorized agencies.
Competitor visibility insights only
Competitor views stay visibility-only and do not expose implementation-level recommendations.
Built for re-scan validation
Teams can apply fixes, re-scan, and compare deltas over time rather than relying on one-time snapshots.
Frequently Asked Questions
What does Gemmetric measure?
Gemmetric measures AI Visibility as a roll-up of four pillars: GEO, GEM, AI Perception, and AI Identity. GEO measures on-site readiness. GEM measures off-site corroboration across trusted third-party sources. AI Perception measures how models currently define and understand the business. AI Identity measures how clearly the business has defined, published, validated, and observed a canonical machine-readable identity.
What does a Gemmetric scan produce?
A Gemmetric scan produces score snapshots, situation overviews, top priorities, deployables, recommended fix packs, and guidance on what to validate in the next re-scan.
What outputs do customers receive?
Customers receive deployable outputs such as schema recommendations, metadata recommendations, copy recommendations, FAQ recommendations, diagnostics exports, and PDF-ready summaries.
Can someone run Gemmetric on a site without permission?
No. Full analysis and recommendations are only available to verified site owners or authorized agencies. Competitors receive visibility insights only.
What happens after fixes are published?
After fixes are applied, teams re-scan the site to validate what improved, what is still limited, and which issues should be prioritized next.