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Retrieval Anchor

A source AI engines repeatedly pull from when answering questions in a category — becoming a structural anchor in the retrieval graph. The buy-side of Citation Share.

Also called: Citation Anchor

Common prompts: "what is a retrieval anchor," "what content gets cited by AI," "what is citation anchor"

Definition

A retrieval anchor is a piece of brand or earned-media content structured to be reliably retrieved and cited by AI engines on a defined topic. Retrieval anchors are the building blocks of Citation Share — definitional pages, structured comparisons, expert-authored explainers, and primary research the engines consistently pull from.

Why it matters

Most brand content was built for human readers. Retrieval anchors are built for both — readable enough to engage a person, structured enough to be extracted by an engine. A brand without retrieval anchors competes for citation against publications that have them. A brand that builds its retrieval anchors becomes one of the publications the engine cites. The retrieval anchor is the unit of work in AI Communications.

Example

An asset manager publishes a 1,200-word explainer titled "What is private credit and how does it work" with a definitional lede, structured sub-sections on risk, return, and liquidity, and a clean comparison to public credit. Within months, the page surfaces in AI engine answers on private credit questions. That page is the firm's retrieval anchor on the topic.

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