AI Fundamentals

Retrieval-Augmented Generation (RAG)

RAG is an AI technique combining real-time information retrieval with language generation. AI first searches external data sources for relevant information, then uses it to generate answers. Perplexity's entire system is built on RAG technology.

Why It Matters for AEO

RAG systems search your website and the web directly for information to generate answers. This means your content's indexing status, structure, and authority directly affect whether AI cites you. Keeping content updated and structured is key to being cited by RAG systems.

Practical Examples

  1. 1Perplexity uses RAG to search real-time web data for every response
  2. 2ChatGPT's Browse mode uses RAG to fetch latest information
  3. 3Enterprise AI uses RAG to connect company knowledge bases for accurate answers

Related Terms

Large Language Model (LLM)EmbeddingPerplexity CitationAI Citation

FAQ

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AEO Strategy Director | SurfIO Founder

Founder of SurfIO

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