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Retrieval and RAG

What is Passage retrieval?

Selecting specific passages rather than full documents

Passage retrieval looks for the most relevant block within a page. This is why a well-ranked URL may still fail to provide the passage a generator needs.

What Passage retrieval 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

Give each heading an implicit question and a complete answer with subject, fact and context.

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

Passage retrieval 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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