RAG (Retrieval-Augmented Generation)

An AI architecture that combines a language model with a real-time search step — the model retrieves fresh documents at query time and uses them as context to generate the answer.

Perplexity, Bing Copilot, and ChatGPT's “browse” mode are RAG systems. RAG is critical for AEO because, unlike pure-LLM mode, RAG can cite content published last week. If your content is fresh, well-structured, and crawlable, RAG systems will find and cite it even before it enters the next training cycle.

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