GLOSSARY
RAG (Retrieval-Augmented Generation)
IN ONE SENTENCE
AI retrieves relevant content from external knowledge sources before generating answers — entering this retrieval pool is the core battleground of GEO.
AI retrieves relevant content from external knowledge sources before generating answers — entering this retrieval pool is the core battleground of GEO.
01
In detail
Three-step principle: user query → embedding vectorization → RAG retrieves most relevant passages → LLM generates the final answer. All GEO effort is to get your content into step 3's candidate pool — the more authoritative, structured and easy-to-cite, the higher the chance LLM picks it.
Updated 2026-08-06