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Retrieval and RAG

What is Training cutoff?

Approximate time boundary of training data

The training cutoff marks how far knowledge learned during training extends. It does not prevent a search-connected product from using later information.

What Training cutoff 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

When auditing recent facts, record whether the answer used web search or model memory.

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

Training cutoff 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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