Query fan-out
Also known as: Query fanout
In short
A search technique that generates several related queries from one request to retrieve information across its different aspects.
Query fan-out expands a user’s request into related searches that cover different parts of the question. An AI search system can use the retrieved material when composing its response.
Google describes this technique in its AI search documentation. The user’s original question and the system’s retrieval queries are different things; a single prompt can lead to several searches.
A practical example
Imagine someone asks for a compact dishwasher suitable for a small apartment with no permanent plumbing connection. Useful research would cover dimensions, water connection options, capacity, and installation restrictions.
A system might issue separate searches for those aspects and combine relevant findings. These example searches illustrate the technique. They are not a record of queries issued by Google or another provider for that exact prompt.
What marketers can infer
A final answer does not necessarily reveal every retrieval query or every source considered. Do not treat a list of cited pages as a complete account of the retrieval process.
Publish accurate information that answers real product questions, including important limitations. Avoid creating near-identical pages for guessed internal queries. The number and wording of searches depend on the system and request, and supplying relevant content does not guarantee its selection or citation.