How to Measure AI Visibility: Metrics & Process
A repeatable process to track AI share of voice, citation rate and AI referral traffic across ChatGPT, Gemini and Perplexity.
You cannot improve what you do not measure. AI visibility is harder to track than rankings, but a simple, repeatable process gives you a reliable picture.
Step 1: Build a Prompt List
Write 20 to 30 questions your buyers actually ask, for example:
- "What is the best marketing dashboard for agencies?"
- "Supermetrics alternatives"
- "How do I track ROAS across Google and Meta?"
Step 2: Test Across Assistants
Run every prompt in ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. Record for each:
- Is your brand mentioned?
- In what position?
- Is your site cited as a source?
- Is the description accurate?
Step 3: Calculate Your Metrics
| Metric | Formula |
|---|---|
| AI Share of Voice | Prompts mentioning you / total prompts |
| Citation Rate | Answers linking your site / total answers |
| Average Position | Mean rank of your brand in answer lists |
| Accuracy Score | Correct descriptions / total mentions |
Step 4: Track Referral Traffic
In Google Analytics, create a segment for referrals from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com. Growth here is the clearest business signal.
Step 5: Repeat Monthly
AI answers change frequently. A monthly snapshot shows whether new content, schema and trust improvements are moving the numbers.
What Good Looks Like
Most brands start below 10% AI share of voice in their category. Reaching 30% or more on your core prompts usually means you are on every serious shortlist.
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