RAG
Also known as: Retrieval-Augmented Generation
Retrieval-Augmented Generation. The pattern of pulling relevant documents from a search index and feeding them into an LLM at answer time.
Perplexity, ChatGPT browsing, Claude with Search, and Google AI Overviews all use RAG. Your visibility in these engines is a function of (a) whether your content is retrievable and (b) whether the LLM finds it useful enough to cite. Optimizing for RAG is the practical core of GEO.
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