What is RAG?
TL;DR
Retrieval-Augmented Generation, how AI tools like Perplexity combine real-time web search with AI response generation. RAG allows AI to provide current, cited information rather than relying only on Training Data. For AI Optimization, this means your current website content directly influences AI responses, not just historical training.
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Frequently Asked Questions About RAG
What is RAG in simple terms?
RAG is how AI tools get current information. Instead of only knowing what they learned in training (which has a cutoff date), RAG lets AI search the web right now and include that information in answers. Perplexity does this for every query.
Why does RAG matter for my business?
With RAG, your current website content can appear in AI responses today, not years from now when AI is retrained. If you update your services or hours, RAG-enabled AI tools can find that new information immediately. Your web presence matters NOW.
Which AI tools use RAG?
Perplexity uses RAG for everything. ChatGPT with browsing mode uses RAG. Google's AI Overviews use a form of RAG. Microsoft Copilot uses RAG. Basically, any AI tool that cites current sources is using some form of RAG.
How do I optimize for RAG specifically?
Keep your website current, RAG finds today's content. Make content easy to parse: clear structure, direct answers. Be crawlable: no blocks that prevent AI from accessing your pages. Answer specific questions that people ask in conversational language.
Terms Related to RAG
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When an AI system references or attributes information to your website or content. In Perplexity, citations appear as fo...
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