RAG (Retrieval-Augmented Generation)

RAG is a technique where AI retrieves relevant documents from external sources before generating a response. This allows AI to cite current, specific information rather than relying solely on training data.

Why It Matters for GEO

Perplexity and ChatGPT with search use RAG. When your content is retrieved, it can be cited. GEO optimizes content for retrieval systems.

How RAG Works

1. User asks a question
2. System retrieves relevant documents
3. LLM generates answer using retrieved content
4. Sources are cited in response