Intent type is the category of purpose behind a user’s query to an AI platform. Cited uses a four-type taxonomy — informational, commercial, navigational, and transactional — to classify every tracked prompt. The same brand can have very different AI visibility across intent types, and the optimization work for each type is different.Documentation Index
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Why it matters
A brand with 40% mention rate overall might have 60% on informational queries and 5% on commercial queries. Without intent segmentation, this critical gap is invisible. Intent type analysis reveals where a brand is strong and where it needs to invest — and the optimization strategies differ fundamentally: informational visibility requires reference content, commercial visibility requires comparison content and editorial coverage.How Cited uses it
Every query in a brand’s prompt library is classified by intent type during query generation. Dashboard metrics are filterable by intent type, and gap analysis surfaces competitors who dominate specific intent categories. See Query intent taxonomy for the full framework.Related concepts
- Query intent taxonomy — the conceptual framework
- Query archetype — the 6-type production classification within intent types
- Query intent — the underlying purpose behind a query