Methodology
Metricus measures AI visibility through a three-phase process: query generation, pattern recognition, and strategic output.
AI platforms give different answers every time. Ask ChatGPT the same question twice and you'll get two different brand recommendations. That's why a single query tells you nothing — and why we query each platform hundreds of times to find the real patterns underneath the noise.
Three phases
Every report follows the same three phases: measure what AI actually says about a brand, identify the patterns across hundreds of responses, and translate them into specific fixes.
Scroll to explore each phase
AI Visibility Dimensions
Mention Rate
How often AI names your brand
Positioning
Where you rank vs competitors
Accuracy
What AI gets wrong about you
Citations
Which sources feed each answer
01
For every brand, we measure five things across AI: how often you're mentioned, where you rank against competitors, what AI gets factually wrong, which sources it pulls from, and whether your language matches what buyers actually ask. Each dimension requires hundreds of queries — because AI gives different answers every time.
Real User Interface Simulation
Most AI visibility tools query AI models through developer APIs. The problem: API responses often differ from what real users see in the chat interface. Different model versions, different context windows, different response formatting. We simulate real user sessions — what an actual person sees when they type a prompt into ChatGPT, Perplexity, or Gemini. This means the visibility data in your report reflects your customers' actual experience, not a developer endpoint approximation.
Same question, different answers
Hundreds of queries per report
02
AI answers are nondeterministic — the same question produces different recommendations each time. Some answers come from real-time web search, others from the model's training data. Each platform weighs different sources differently. A brand can be visible on one AI and invisible on another. That's why we query AI hundreds of times per report — to separate signal from noise.
Vocabulary Gap Analysis
Citation Sources
Error Audit
Priority Actions
03
Every report includes a visibility score, exact AI quotes, a competitor comparison, every factual error we found (with source tracing), and a prioritized action plan. The action plan tells you specifically what to fix, where to fix it, and why it matters — not generic SEO advice. See a real example in our sample report.
Further Reading
Education
AI Visibility Scores Explained
What the numbers in your report actually mean and how to read them.
Fix
AI Visibility Playbook
The step-by-step guide to acting on your report findings.
Fix
AI Visibility Action Plan
Prioritized actions to improve how AI recommends your brand.
Research
GEO Knowledge Base
81 research clusters on AI visibility, GEO, and brand monitoring.
Research
AI Brand Accuracy Guide
48 clusters on AI accuracy, hallucinations, and correction strategies.
Research
Alignment Framework
69 clusters on GEO strategy, content optimization, and platform tactics.
Research
Platform Intelligence Guide
63 clusters on retrieval pipelines, ranking signals, and crawler behavior.
Research
Buyer Behavior Research
50 clusters on AI purchase behavior, trust psychology, and agentic commerce.
Authority
Audit Report 2026
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