This episode is part of the AI Summary series, which covers iPullRank's AI Search Manual chapter by chapter. Chapter 1 examines how search has evolved from “10 blue links” to AI-driven answers, altering how audiences discover and evaluate brands.We trace the evolution from Universal Search and the Knowledge Graph to large language models, such as ChatGPT, Gemini, and Claude, which generate conversational results and reduce the need for clicks. The discussion explains the move from SEO to GEO, Generative Engine Optimization, where the focus is on semantic clarity, authority, and multimodal content that machines can interpret and present.The episode also introduces Relevance Engineering and Retrieval-Augmented Generation (RAG), which show how information is retrieved, scored for relevance, and synthesized into answers. These concepts set the stage for building strategies that position content to be included in AI summaries rather than excluded from them.Read the whole chapter at ipullrank.com/ai-search-manual

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