01 · See the current state
One view of the score and the story beneath it.
The Situation Brief connects the blended AI Visibility score to the strongest constraint and the next decision.
AI Visibility Infrastructure
AI already has an opinion.
Gemmetric reveals what AI systems understand about your business, the evidence shaping that answer, and the next move that can change it.
Start with a lightweight public GEO baseline. Use a verified workspace for deeper evidence, fixes, and re-scan validation.
Evidence-backedAuthorization-awareBuilt to re-scan
AI Visibility
76 / 100
Strengthen GEM authority
The score points to the evidence gap and the next move.
The AI clarity gap
The same business can look vague or clear to AI.
Northstar Supply is the illustrative example used throughout the product screens below. The difference is whether AI can retrieve and corroborate its category, customers, and offering.
When the signals are unclear“Northstar Supply appears to sell general business supplies.”
AI can find the company, but not enough consistent evidence to explain who it serves or what makes it relevant.
When the signals line up“Northstar Supply provides industrial safety equipment and jobsite supplies for construction and manufacturing teams.”
Clear category, customer, and offering signals support a specific answer instead of a cautious guess.
The Gemmetric lens
Four signal layers. One defensible picture.
See which layer is strong, which limits confidence, and where the next action belongs.
GEOOwned-site clarity
GEMExternal corroboration
AI PerceptionAwareness · Understanding · Trust · Reach
AI IdentityCanonical definition
01
Read the owned site
Can AI systems retrieve and understand what the business says?
02
Check outside corroboration
Do trusted sources agree with the business’s claims?
03
Observe model perception
How do AI systems recognize, understand, trust, and surface the business?
04
Anchor one clear identity
Is there a current definition AI systems can reference?
Product evidence
See the state. Understand why. Change what you control.
Move from the headline score to its evidence, see whether observed AI answers cite your site, then turn the limiting signal into a specific next move.
02 · Understand why
See where awareness, understanding, trust, and reach break apart.
AI Perception separates unaided recognition from context-fed understanding, corroborated trust, and eligible answer contexts.
03 · Know what to do
Turn a limiting signal into fix-ready work.
Fix Packs keep the scan, evidence, priority, impact, and implementation guidance connected without publishing changes automatically.
Evidence stays connectedScores stay linked to their source signals.
Authorization has boundariesFull recommendations require verification or authorization.
Your team stays in controlFix Packs guide; your team publishes.
Progress can be checkedRe-scans make the next state comparable.
The operating loop
Progress is a loop, not a report.
Each pass makes the next decision clearer. The next scan shows whether the picture improved.
- 01
Scan
Capture the current state without guessing.
- 02
Diagnose
Trace the score back to visible evidence.
- 03
Ship
Turn findings into owned, fix-ready work.
- 04
Re-scan
Validate what changed and choose the next move.
Built for the work
One evidence system. Three ways to use it.
Understand your AI Visibility, turn findings into implementation work, or build a repeatable client service.
For businesses
Understand how AI sees you
Find the gaps between what your business says and what AI systems can confidently repeat.
Explore this path →For website teamsTurn evidence into work
Move from scan findings to deployable changes across structure, copy, schema, and identity.
Explore this path →For agenciesMake AI Visibility sellable
Use public prospect evidence, managed client workspaces, and reports to build a repeatable service.
Explore this path →See what shapes AI's answer about your business.
Start with a lightweight public GEO Snapshot. Move into a verified workspace when you need deeper evidence, Fix Packs, eligible monitoring, and re-scan validation.