AI search
Also called: AI-powered search, generative search
AI search is a search experience where a large language model reads across web sources and returns a synthesized, conversational answer with supporting links, instead of only a ranked list of blue links. Examples include Google's AI Overviews and AI Mode, ChatGPT search, and Perplexity.
AI search does not invent answers from nothing. Google’s AI Overviews and AI Mode pull from the same Search index that powers classic results, then use retrieval-augmented generation (RAG, also called grounding) to draft an answer tied to real pages. Both features run a “query fan-out”: the model issues several related searches across subtopics at once, then stitches the strongest passages into one response with links out.
Why it is still SEO under the hood
That design has a blunt implication. In Google’s own words, “the best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” There is no separate AI-search markup or file to submit. A page has to be indexed and eligible for a normal snippet before a model can quote it.
Where AI search differs is the surface. Instead of scanning ten links, the user reads one paragraph. Your page either gets named and cited in that paragraph or it does not. Example: someone asks “best CRM for a five-person agency” and the model returns a three-sentence recommendation citing two vendors. The eight other results that would have ranked on page one never get seen. The same logic holds in ChatGPT search and Perplexity, which read the open web and answer with a short list of citations rather than a full results page.
How it affects your traffic
AI search changes what a ranking is worth. When an answer engine summarizes your topic and cites a competitor instead of you, you lose the visit even while ranking well, so the target shifts from position to being the source the model quotes. Our AI SEO service works on exactly that: structuring pages so LLMs can extract clean, quotable answers, building the entity and citation signals these systems favor, and tracking whether you actually surface in AI Overviews, AI Mode, and ChatGPT. It is a different measurement and optimization loop than chasing ten blue links.
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