AI visibility measurement
How do you measure your brand's visibility in AI search?
One prompt and one score cannot represent AI visibility. A useful measurement system combines repeatable buyer questions with presence, perception, competitor, citation, and trend evidence.
Short answer
Use a stable set of real buyer prompts across relevant AI systems. Track whether the brand appears, how it is described, which competitors are recommended, what sources support the answer, and how those signals change after meaningful work.
Measure several dimensions
Visibility is not binary. A brand can be mentioned but described incorrectly, cited for the wrong category, or consistently placed behind competitors.
- Presence: whether the brand appears for a relevant prompt.
- Perception: whether the description is accurate and useful.
- Competitive share: how often alternatives appear relative to the brand.
- Recommendation context: which needs and audiences trigger inclusion.
- Sources: which pages and domains shape or support the answer.
Use a repeatable prompt set
Prompts should represent the journey from problem to decision: informational questions, category discovery, use cases, comparisons, alternatives, and direct recommendations.
Keep the core wording stable enough to compare periods. Record the provider and date, because generated answers and retrieval behavior change.
Connect movement to work shipped
A visibility chart matters only when the team knows what changed. Record major page improvements, new evidence, profile updates, relevant mentions, and content releases alongside prompt results.
Look for sustained movement across related prompts rather than celebrating one favorable answer.
What to do next
- 1Define the buyer decisions and prompt families that matter to revenue.
- 2Establish a baseline across the AI systems your customers actually use.
- 3Record perception, competitors, citations, and missing evidence—not only mentions.
- 4Retest on a consistent cadence and annotate the changes your team implemented.