What is retrieval-augmented generation?

Retrieval-augmented generation, or RAG, is a technique where an AI system first retrieves relevant documents, often from live web search, and then writes its answer grounded in what it found rather than from memory alone.

Why it matters

Most AI search products use RAG, which means the content they retrieve decides the answer. Pages that are retrievable, clear and quotable become the raw material of AI answers.

How it affects content

Direct answers near the top of a page, clean headings and factual precision make content easier for retrieval systems to select and cite.

Why it matters

Most AI search products use RAG, which means the content they retrieve decides the answer. Pages that are retrievable, clear and quotable become the raw material of AI answers.

How it affects content

Direct answers near the top of a page, clean headings and factual precision make content easier for retrieval systems to select and cite.

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