Guides · Guide
How to Measure AI Visibility
A practical measurement workflow for prompts, AI answers, citations, competitors, and visibility changes.
AI visibility measurement starts with prompts, not pages. A team needs to know which questions buyers ask and how AI systems answer those questions today.
Measurement workflow
- Define the topic cluster and buyer intent.
- Build a prompt set across definitions, categories, comparisons, and recommendations.
- Collect answers from priority AI systems on a consistent cadence.
- Tag mentions, citations, competitors, sentiment, and recommendation order.
- Compare the results against content changes and source improvements.
Metrics to track
Useful early metrics include:
- Mention rate across prompt sets.
- Citation rate for owned or trusted sources.
- Recommendation position.
- Competitor co-mentions.
- Answer accuracy and freshness.
- Volatility over time.
What to avoid
Do not treat one manual chat answer as a benchmark. AI answers vary by prompt wording, retrieval context, timing, and model behavior. Measurement needs repeatability and prompt coverage.