The Technical Foundation of Generative AI Systems

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/

GEO Decoded Podcast - Episode 1: Introduction to Generative Engine Optimization

GEO Decoded is a plain‑English, practitioner‑focused guide to Generative Engine Optimization that helps you get your content cited by AI systems like ChatGPT and Gemini. Each episode breaks down how modern AI actually finds, retrieves, and uses content, explains the differences between SEO, AEO, and GEO, and shows exactly how to structure pages so they’re easy for AI to discover and cite. You’ll get a concise intro, a clear concept breakdown, a lightning Q&A, and a practical takeaway you can ship immediately—so your site becomes the trusted source AI pulls from.⁠ Visit my site for show notes, examples, and templates: https://betterworldwithdesign.com/geo-decoded/ ⁠