How to Measure AI Visibility Across Every Engine
AI visibility is measured by running a fixed set of buyer prompts across ChatGPT, Gemini, Perplexity, Claude and Google AI, then scoring how often your brand is mentioned, cited, described accurately and recommended versus competitors.
Key takeaways
- Keyword rank has no equivalent inside a generated answer.
- Track four metrics: mention rate, citation share, accuracy and sentiment.
- Prompts must be fixed to make month-over-month movement meaningful.
- Engine-level breakdowns matter — visibility is rarely uniform.
Traditional analytics tell you what happened after a click. In AI search, most of the decision happens before any click exists. Measurement has to move upstream, into the answers themselves.
The four core metrics
Mention rate
The share of your priority prompts where the engine names your brand at all. This is the floor: no mention, no consideration.
Citation share
Of the sources an engine links, how many are yours versus competitors'. Citation share is the closest analogue to organic market share in AI search.
Entity accuracy
Whether the engine describes your category, offering, pricing model and service area correctly. An inaccurate mention can cost more than no mention.
Sentiment and recommendation
Being listed is not the same as being recommended. Track whether you appear as the suggested choice or as an also-ran in the final paragraph.
Building a prompt set that holds up
- 20-40 prompts spanning problem-aware, solution-aware and vendor-aware intent.
- Include category, comparison, pricing, local and objection prompts.
- Freeze the wording so results stay comparable across months.
- Run every prompt on each engine you care about, not just one.
One engine's answer is an anecdote. Five engines across forty fixed prompts is a measurement system.
Frequently asked questions
Can Google Analytics track AI search visibility?
No. Analytics only records sessions that reach your site. Most AI answers resolve without a click, so visibility must be measured inside the engines themselves.
How often should AI visibility be measured?
Monthly is the practical cadence for trend lines, with an extra scan after any major content, schema or positioning change.
What is a good AI visibility score?
Scores are relative. What matters is your citation share against the named competitors in your category and whether that share trends upward month over month.
Find out if AI engines recommend you
Free multi-engine scan across ChatGPT, Gemini, Perplexity, Claude and Google AI.
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