AI & AEO

Chain-of-Thought Search

Quick Definition

Chain-of-thought search refers to AI engines that decompose a query into a visible reasoning chain, retrieving and citing sources at each reasoning step.

In context

Perplexity Pro and ChatGPT's o-series models surface their reasoning chain to users. Each reasoning step pulls citations independently, meaning a single answer can cite 10–30 sources. Sites cited at multiple reasoning steps gain disproportionate trust and authority signal.

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Related terms

Synthesized Answer

A synthesized answer is the unified response an AI engine produces by combining information from multiple cited sources into a single coherent reply.

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A vector embedding is a numerical representation of text (or images, audio) in high-dimensional space, used by AI engines to find semantically similar content for retrieval.

Search Generative Experience (SGE → AI Overviews)

SGE was Google's experimental name (2023–2024) for the AI-generated answer module above organic search results; it graduated to production as Google AI Overviews in mid-2024.

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A conversational query is a natural-language, often multi-sentence search input — typical of ChatGPT, Perplexity, voice assistants, and Google's lens-and-prompt surfaces.

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ChatGPT Search is OpenAI's web search feature that lets ChatGPT pull current information from the web with citations.

Grounding (AI)

Grounding is the practice of constraining an LLM's response to verified, retrieved sources — the architectural pattern behind every modern AI search engine.

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