How do you design prompts and expand coverage with query fanouts in AI search?
Query fanout is the breakdown of a question into multiple subqueries that answer engines use to gather evidence and synthesize a final response. In practice, this changes editorial planning: optimizing only for the main query is not enough. To win coverage and citations, you need to map subquestions, group them by intent, and convert them into sections, FAQs, comparisons, and supporting assets.