RAG (Retrieval-Augmented Generation)

RAG combines the power of language models with real-time information retrieval. When a user asks a question, the system first retrieves relevant documents or data, then uses this context to generate a more accurate response. For AI visibility, RAG means your content can be pulled into AI responses in real-time, making up-to-date, well-structured content even more valuable for being cited.