The Technical Foundation of Generative AI Systems

In this comprehensive episode, we break down the inner workings of large language models and multimodal AI systems that power tools like ChatGPT and Gemini. You'll gain clear insights into the technical infrastructure that determines whether your content gets discovered, cited, and utilized by these increasingly influential AI systems.Key Takeaway: Discover how vector databases store mathematical representations of your content, how embedding spaces organize information in conceptual neighborhoods, and how retrieval-augmented generation (RAG) finds and uses your content to answer user queries. Most importantly, learn practical strategies to optimize your content for these technical systems without getting lost in jargon.https://betterworldwithdesign.com/geo-decoded/

Om Podcasten

Following the same successful format as AEO Decoded, my new 10-episode podcast series on Generative Engine Optimization (GEO) will guide listeners through optimizing content for AI systems that generate new content. Each episode will maintain my signature structure with an intro, breakdown, Q&A lightning round, and actionable takeaway.