Your AI Visibility Score: Measuring AI Search Performance
Measuring AI search performance requires new metrics and tools. Traditional SEO metrics like rankings and organic traffic only tell part of the story. AI visibility encompasses how often, how positively, and how accurately AI platforms represent your business — and whether those representations drive real business results.
What to Measure
AI visibility metrics include: how many AI platforms mention your business, which queries trigger recommendations, how accurately AI describes your services and location, whether AI cites your website as a source, referral traffic from AI platforms, and conversions from AI-referred visitors. These metrics paint a complete picture of your AI search performance.
Manual Testing
The simplest way to assess AI visibility: regularly ask ChatGPT, Perplexity, Gemini, and Claude about your services in your area. Document their responses. Track whether you're mentioned, how you're described, and whether the information is accurate. Do this monthly to identify trends and improvements. Compare against competitors' visibility on the same platforms.
Analytics Integration
AI search traffic appears in your analytics under different referral sources — chatgpt.com, perplexity.ai, gemini.google.com, etc. Track these separately from traditional organic traffic. Monitor not just volume but quality: do AI-referred visitors convert at higher rates? (Spoiler: they usually do, because AI pre-qualifies them.)
Building an AI Visibility Dashboard
We build custom dashboards that track AI visibility alongside traditional SEO metrics: keyword rankings across Google/Bing/Yahoo/DuckDuckGo, AI mention monitoring across ChatGPT/Perplexity/Gemini/Claude, referral traffic by source, conversion rates by traffic source, and entity accuracy audits. This gives you the full picture of your search visibility in the AI era.
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