Sub-queries

Sub-queries are smaller helper questions automatically generated by AI search engines during query fan-out to decompose complex queries into manageable components.

AI search systems use three main decomposition strategies to generate sub-queries: semantic decomposition breaks topics into components—for example, 'best laptop' becomes separate queries about processor performance, RAM requirements, and screen quality. Intent-based decomposition generates follow-up questions that mirror the customer journey, progressing from awareness ('what is it') to consideration ('how much does it cost') to decision ('how to buy'). Verification decomposition creates fact-checking queries to validate information across multiple sources.

To optimize for sub-query generation, content creators can anticipate potential sub-queries using Frame Semantics to map the questions users might ask within a topic's conceptual framework.