What are the four dimensions of AI visibility?
Model perception, query visibility, site readiness, and content gaps are the four pillars. Each one answers a different question about your brand.
- —Model perception — is what Claude, ChatGPT, and Gemini already say about you accurate?
- —Query visibility — how often do you appear when customers ask category questions, not brand-name questions?
- —Site readiness — do your own pages get cited, or does retrieval come up empty?
- —Content gaps — which customer questions do competitors answer that you don't?
Each pillar needs its own measurement and its own fix (see: Why doesn't ChatGPT mention my business?).
How do you score model perception?
Perception measurement compares what models already say about you to the facts you'd state yourself. ye5's GEO Brand audit scores perception against 22+ markers mapped to E-E-A-T — category, founding, differentiators, trust signals. Scores are benchmarked against two competitors run through the identical protocol, so a raw number becomes a comparison.
How do you measure query visibility?
Query visibility measures how often you show up when customers ask category questions instead of brand-name questions. It needs the same blind protocol as perception (see: How do I find out what AI says about my brand?).
The questions are category and use-case phrasing — the words a customer reaches for before they know your name, not your brand terms. Each one runs across Claude, ChatGPT, and Gemini, several times per question, and the results get scored the same way every time.
The outcome sorts into three buckets: named, absent, or a competitor named instead. A brand that's absent for its own category has a query-visibility problem, whatever its perception score says.
How do you measure site readiness?
Site readiness measures whether your pages can be reached, parsed, and cited at all.
Reach comes first. Bots like ClaudeBot need to get to your content — not blocked by JavaScript-only rendering, a login wall, or a robots.txt rule .
Extraction comes next: whether the page states facts in declarative sentences a model can quote, or buries them in marketing prose.
ye5's GEO Web audit runs this check as part of its full-site, template-level review, not page by page. The same broken template usually repeats across many pages.
How do you measure content gaps against competitors?
A score alone doesn't tell you what to fix; a comparison does.
Content gaps show up when the same customer questions that surface competitors turn up nothing on your own site. The comparison identifies which ones they answer and you don't.
| Dimension | Signal of a gap |
|---|
| Model perception | Facts stated wrong or missing entirely |
| Query visibility | Competitor named, you're absent |
| Site readiness | Competitor's page cited, yours isn't reachable |
| Content gaps | Customer question has no answer anywhere on your site |
ye5's GEO Brand audit benchmarks all four signals against two competitors in one run. The gaps show up next to the score that explains them.
FAQ
Do I need to test all three models, or is one enough?
All three. Claude, ChatGPT, and Gemini draw on different training data and different retrieval systems. They often disagree about the same brand. ye5's GEO Brand audit runs the same questions across all three, so the comparison is apples to apples.
Is this the same as checking my Google ranking?
No. Search ranking measures position in a list of links. AI visibility measures whether the generated answer names you at all, and how it frames you when it does.
What counts as a passing score?
No single number counts as passing. ye5's GEO Brand audit scores you relative to two competitors on the same protocol. Ahead of both is strong; behind either on any pillar is the fix to prioritize first.