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Retrieval and RAG

What is Grounding?

Anchoring an answer in available evidence

Grounding is the connection between generated claims and a source, datum or context that supports them. A well-grounded system can better verify what it says and where it came from.

What Grounding means in GEO

In a RAG pipeline, publishing is not enough. A page must be discoverable, enter the candidate set and survive reranking.

Why it matters

Include concrete facts, primary sources and clear attribution so each important claim can be traced.

What to check in practice

Identify the stage where the source disappears: access, initial retrieval, reranking, generator context or citation selection.

How it connects to other concepts

Grounding belongs to retrieval and rag. It is best analyzed alongside related terms because AI visibility depends on several stages and signals rather than one isolated optimization.

Common mistake

Blaming final copy when the document never reached the model that writes the answer.

Turn these concepts into metrics

Bee LLM tracks mentions, citations, position, sentiment and competitors across major AI engines.

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