Full definition
Generative Search is the post-2023 search paradigm in which the engine synthesizes a written paragraph-style answer to the user's query, drawing on multiple retrieved sources, instead of (or in addition to) returning a ranked list of clickable links. Generative Search is enabled by the combination of a retriever (which finds candidate passages from a web corpus) and a generator (an LLM that paraphrases and synthesizes those passages into a coherent answer with citations). The flagship examples are Google AI Overviews, ChatGPT Search, Perplexity, and Microsoft Copilot. The shift from list-based to answer-based search has three structural consequences for brands. First, the click-through rate on the cited sources is more concentrated: being citation number 1 of 3 generates dramatically more traffic than being citation number 8 of 12. Second, the brand that wins the citation is the brand whose phrasing the LLM found easiest to lift verbatim — which rewards definitional, declarative writing. Third, brands that are not cited at all receive zero traffic from the query, even if they would have ranked position 4 on the old ten-blue-link SERP. Harch Atelier treats Generative Search as a new channel that requires its own measurement, its own content format, and its own competitive strategy rather than a continuation of classic SEO.