See exactly how AI models describe and cite your brand.
Karaya runs real AI queries to measure how your brand appears across ChatGPT, Gemini, and Perplexity — who cites you, who doesn’t, and why.
How the audit works
1) Track key questions
Run model queries your audience actually asks — organized by topic, locale, and funnel stage.
2) Capture AI responses
Karaya stores every answer with its sources, tone, and citation list — a full record of how each model interprets your brand.
3) Analyze brand visibility
We detect mentions, brand-citing answers, tone sentiment, misattributions, and missed citations across every run.
4) Report results
View detailed breakdowns by model, locale, and prompt set — complete with TAV scores, wins/losses, and competitor share.
Metrics in the Visibility Audit
- TAV (Trusted AI Visibility): Average 0–100 visibility score based on mention, citation, evidence, and risk.
- Brand Wins: Answers where your domain is cited with aligned coverage.
- Miss Rate: Expected but missing citations based on model confidence.
- Competitor Sources: External domains most cited for your topics.
- Model × Locale Summary: Compare visibility by assistant and region.
Model breakdown showing where visibility is strongest or weakest.
Run your first visibility audit
Track what AI models actually say about your brand — and get a measurable baseline for improvement.