Query fan-out
An AI search technique that splits one question into many related sub-queries, runs them in parallel and merges the results into a single answer.
Google describes query fan-out as the way AI Mode handles complex questions. It divides the question into subtopics, searches for each one simultaneously across multiple data sources, then brings the results together. Google says AI Overviews may use the technique too. Other assistants that rewrite your question into several searches, as ChatGPT does, work on a similar idea.
What fan-out means for content
Fan-out changes which pages compete. Ask for the best CRM for a 10-person agency and the engine may also look up pricing, integrations, reviews and alternatives. A page can earn a citation by answering one of those sub-questions brilliantly, even if it would never rank for the original query.
- Cover the follow-up questions on the page: price, fit, setup, limits, alternatives.
- Give each sub-question its own clear heading and a direct answer.
- Publish comparison and use-case pages that match how buyers narrow their options.
How to spot fan-out targets
Look at the sources an engine cites for a prompt. Pages that don't match the original question are usually answering a sub-question, and those are the gaps to fill. Elite Answers stores every AI Mode answer with its citations, so you can see the pattern across runs in tracking.
Somewhere, right now, an AI is recommending your client's competitor.
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