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Core concept · AI Search Infrastructure
Definition
Multi-step reasoning is the capability of an AI system to break down a complex query into sequential sub-tasks — searching, synthesizing, and building toward a conclusion across multiple steps rather than answering in a single generation pass. It is characteristic of deep research modes and advanced AI search agents.
Why It Matters for AI Search
Multi-step reasoning expands the citation surface for brands. When an AI agent reasons through a complex question by breaking it into sub-queries, each sub-query is a separate citation opportunity. Brands with comprehensive, interlinked content coverage — content that answers not just primary queries but the follow-up questions those queries generate — are better positioned to appear across multiple steps of a reasoning chain.
Chain-of-thought citation
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