LLMO / GEO: Optimizing Content for LLMs and Generative AI
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LLMO / GEO: Optimizing Content for LLMs and Generative AI
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This podcast episode discusses the article “LLMO / GEO: How to optimize content for LLMs and generative AI like AIOverviews, ChatGPT, Perplexity …?" by Olaf Kopp, which describes a new approach to optimizing digital visibility in the age of artificial intelligence using content. He deals with Large Language Model Optimization (LLMO) or Generative Engine Optimization (GEO) as a further development of traditional search engine optimization. The article discusses how AI-powered platforms such as ChatGPT are changing information retrieval and traditional SEO tactics are becoming less important. The article explores how content can be optimized to be recognized, extracted and used as references by LLMs in their responses, with Retrieval Augmented Generation (RAG) playing an important role. Concrete optimization approaches for content structure, formatting and the consideration of user intentions are presented in order to remain visible in an AI-mediated future.
https://www.kopp-online-marketing.com/llmo-geo-how-to-optimize-content-for-llms-and-generative-ai-like-aioverviews-chatgpt-perplexity