Buyer intent describes what a person is trying to achieve when they ask an AI assistant a question. Someone asking 'what tools exist for X' is at a different stage from someone asking 'is Brand A better than Brand B' or 'how much does Brand A cost'.
Grouping buyer questions by intent shows where in the buying journey your brand appears. A brand can be well represented when buyers ask about it by name, yet absent when buyers ask open discovery questions that do not name any vendor.
Visibility that only shows up in branded or late-stage questions does not bring in new buyers. Measuring by intent shows whether AI puts your brand in front of people who have not heard of you yet, which is where most new demand starts.
VisibilityKit Intelligence tests six commercial intents with a reviewable prompt set, so you can see how your visibility differs between discovery questions and questions that already name your brand.
Because AI answers differ by intent. A brand may be recommended when a buyer asks about it directly but missing from open category questions. Looking at intent separately shows which stage of the journey needs work.
The idea is similar. The difference is that AI assistants answer full questions directly, so intent is expressed in the wording of the question rather than inferred from a short keyword.
A question a real buyer would ask an AI assistant when researching a category, used to measure how AI answers treat your brand.
A buyer question that names your brand, measured separately from open discovery questions so it cannot inflate your visibility.
The fixed, reviewable list of buyer questions used to measure a brand's AI visibility consistently over time.
When an AI platform explicitly suggests or endorses a specific product, service, or brand to a user.
See how often ChatGPT, Perplexity, Gemini and Google AI Overviews mention, recommend and cite your brand, with the evidence behind every answer.
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