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Core concept · Emerging

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Definition

Chain-of-thought citation is an emerging concept describing the behavior of AI systems that reason through multi-step problems — where the model cites different sources at different stages of its reasoning process, building toward a conclusion by drawing from multiple cited references rather than a single source. This behavior is characteristic of AI systems with extended reasoning capabilities. Chain-of-thought citation creates new citation opportunities for brands. In single-turn AI search, a brand either appears as the cited source or it doesn’t. In chain-of-thought reasoning, a brand’s content may be cited as evidence for one step in a multi-step argument — contributing to a conclusion even when it is not the definitive source. Brands whose content makes specific, attributable claims relevant to multi-step reasoning problems — comparative analyses, decision frameworks, step-by-step guides — are better positioned to appear in chain-of-thought citation contexts.

Prompted citation

Retrieval pipeline

Citable claim

Agentic search

Factual density

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