Product
Infrastructure for defining how AI systems understand your business.
Gemmetric is AI Visibility Infrastructure. It gives businesses a system for defining, publishing, validating, and observing identity so AI systems rely less on scattered inference and more on a clearer source of truth.
Think on-site readiness, off-site corroboration, current model understanding, canonical identity publication, and deltas you can track over time.
Private beta: we review requests and invite teams as capacity opens.
Core signals
What Gemmetric measures
Gemmetric reports the four pillars clearly and uses them to produce the blended AI Visibility Score.
AI Visibility Score
Blended top-line score
Gemmetric's blended top-line score across GEO, GEM, AI Perception, and AI Identity.
It reflects the combined state of structural readiness, external corroboration, model interpretation, and canonical identity.
GEO
Generative Entity Optimization
On-site readiness: structure, metadata, schema, and intent coverage.
GEM
Generative Entity Model
Off-site corroboration: the strength, consistency, freshness, and coverage of external signals.
AI Perception
Model understanding
How LLMs currently define and understand the business, including current confidence and interpretation quality.
AI Identity
Canonical identity system
Whether the business has clearly defined, published, validated, and observed a machine-readable identity.
Infrastructure layer
What AI Visibility Infrastructure means here
Gemmetric does not replace SEO, schema, or website content. It acts as the layer that reduces ambiguity between those signals by helping businesses define and publish a more explicit identity for AI systems.
1) Define identity
Create a canonical, structured definition of the business and its core facts.
2) Publish identity
Make that definition directly accessible on the business domain in a machine-readable form.
3) Validate identity
Check that the published identity is accessible, structured, and discoverable.
4) Observe interpretation
Measure how AI systems interpret the business over time after identity is published.
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
The scan should leave teams with a clear picture of current performance, the biggest blockers, and what to do next.
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.
Deployables
Schema, metadata, copy, and FAQ recommendations that can be shipped directly.
Fix Packs
Recommended implementation packs tied to the limiting signals found in the scan.
Re-scan validation
A follow-up scan to confirm what improved, what remains constrained, and what to prioritize next.
Customer outputs
What customers receive
You should not need to translate a scan into tasks. Outputs map directly to on-site, corroboration, perception, and identity fixes so teams can ship improvements without extra interpretation.
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.