Skill
AI-Visibility Audit
Measures who gets named and cited across AI answer surfaces.
01What it does
Measures who gets named and cited across AI answer surfaces.
The house GEO methodology, made executable: twelve buyer-intent prompts, four AI surfaces — ChatGPT, Perplexity, Google AI Overviews, Gemini — three runs each. 144 real measurements per audit.
Every run records whether the client is cited, named, or absent, at what position, and against which competitors. No estimates, no memory — if a surface can't be measured, it says so.
02How it runs
Step by step
- Give it the client, market, and competitor set — or let it reuse existing competitive research.
- It runs the full prompt matrix through the browser, logging as it goes.
- Scores roll up into a visibility index per surface, benchmarked against competitors.
- The report ships as a gated, bilingual client page with prioritized recommendations.
03What comes out
The result
A measured visibility index, competitor comparison, and an action list — repeatable monthly for delta tracking.
Noord Studio — Resources · AI-Visibility Audit · Internal reference