Query fan-out is changing how content is discovered by AI-powered search. This article explains how LLMs break a user’s query into multiple related searches. It explores how to structure content around these sub-queries. It also covers ways to improve semantic coverage, make information easier for AI systems to retrieve, and increase the chances of being cited in AI-generated answers. Read more.
