LLMO / GEO: Optimizing Content for LLMs and Generative AI

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

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2-3 times a week in the podcast are discussed Google patents, research papers and other hot topics like E-E-A-T, LLMO, Generative Engine Optimization (GEO), semantic search and Ranking. This podcast gives you exclusive insights about SEO and LLMO based on fudamental research of SEO relevant patents, research papers and Google leaks analyzed for the SEO Research Suite: https://www.kopp-online-marketing.com/seo-research-suite Follow now not to miss the insights!