AI search
How AI Search Works: Overviews, Assistants and Retrieval
AI search combines classical information retrieval with large language models using retrieval-augmented generation. Instead of presenting only a ranked list of blue links, AI search architectures synthesize direct answers, execute multi-step query fan-out across multiple source documents, and cite authoritative source URLs inline within their generated conversational summaries.
Articles in this guide
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How AI search engines work
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Google AI Overviews explained
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Google AI Mode explained
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Retrieval-augmented generation (RAG) explained
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How to get cited in AI Overviews
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GEO vs AEO vs SEO: is any of it real
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Llms.txt: does Google use it
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ChatGPT Search: how it retrieves and cites
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Perplexity: how it works and how to appear in it
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Bing Copilot and Microsoft AI citations
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Gemini and Google Search: how they connect
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Traditional search vs AI search: what changed
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AI Overviews and click-through rate: the data
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How to measure AI referral traffic in GA4
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AI crawlers and content licensing
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Structured data for AI search: what actually helps