AI visibility glossary

Answer-intent query

An answer-intent query is a search or AI prompt phrased as a question that seeks a recommendation, comparison or named solution rather than a definition, the query type that generates brand mentions in AI answers.

An answer-intent query is the kind of question that pulls brand names into an AI answer. It asks for a recommendation, a comparison or a named solution, rather than a definition or a fact.

It contrasts with two other query types. Informational queries ask for a definition or explanation, such as "what is answer engine optimisation", and rarely name brands. Branded queries already contain a brand name in the prompt, so the brand’s presence is given rather than earned.

Answer-intent queries are where AI visibility is won or lost, because they are the moments when an engine decides which brands to name. Examples include "best X for Y", "top Z compared" and "which W should I use".

Tracking these queries specifically is what makes AI visibility measurable. They are the prompts most likely to influence a buying decision, so they are the ones worth monitoring across engines and over time.

Example

What it looks like in practice.

"What is a CRM" is an informational query and names few brands. "Best CRM for a small sales team" is an answer-intent query: it asks the engine to recommend named products, which is exactly where a brand can win or lose a mention.

In Zicy

How Zicy measures it.

Zicy’s Prompt Manager lets you build and tag a set of answer-intent queries across segments, topics and languages, then run them across all five engines. See the platform.

FAQ

Questions about Answer-intent query.

What is an answer-intent query?

An answer-intent query is a search or AI prompt phrased as a question that seeks a recommendation, comparison or named solution rather than a definition, the query type that generates brand mentions in AI answers.

How is it different from an informational query?

An informational query asks for a definition or explanation, such as "what is a CRM", and rarely names brands. An answer-intent query asks for a recommendation or comparison, such as "best CRM for a small team", which prompts the engine to name brands.

What is a branded query?

A branded query already contains a brand name in the prompt, so the brand’s presence is given rather than earned. Answer-intent queries do not name the brand; they ask the engine to choose which brands to name.

Why does Zicy track answer-intent queries specifically?

They are the prompts most likely to influence a buying decision and the moments when an engine decides which brands to name, so they are the ones worth monitoring across engines and over time.

Measure it with Zicy.

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