Glossary
Query Fan-Out
Query fan-out is when an AI search system breaks one complex question into several related searches, gathers evidence for each part and combines the findings into one response. A brand may qualify for one subquery but remain absent from the final answer if other required evidence is missing.
In plain terms
The engine turns one big question into several smaller searches before writing its answer.
Why it matters
It expands the set of pages and facts competing to influence one response. Coverage must address the full decision, not one keyword.
How to apply it
- Map the supporting questions implied by each high-value prompt.
- Create distinct sections for requirements, trade-offs, pricing and proof.
- Earn citations on third-party pages that answer comparison subqueries.
Example
A request for the best CRM for a regulated bank can fan out into searches for security certifications, integrations, pricing and customer evidence before producing a shortlist.
Sources
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