Retrieval-Augmented GenerationRAG

Retrieval-Augmented Generation (RAG) is when an AI system fetches live, external documents and uses them to ground its answer, rather than relying only on what it learned during training. It's why crawlability and fresh, readable content directly affect whether you're cited.

For current or specific questions, engines retrieve pages in real time, so being a readable, trustworthy candidate decides whether you make it into the answer. Related: how AI engines choose recommendations.