GEO Decoded Transistor (https://transistor.fm) https://feeds.transistor.fm/geo-decoded 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. 2025 Copyright 675d3e46-1fb3-5ca6-80ad-a9277c5b2461 no en Sat, 04 Oct 2025 06:00:06 -0400 Wed, 03 Dec 2025 02:44:18 -0500 https://betterworldwithdesign.com/geo-decoded/ https://img.transistor.fm/EhzMh_Bc9VrcnmHPBR-cq-eddklrE6GBekZqOnO6B9Q/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZTdl/NDE5OTE2NTQ2ZmZh/ODFmNGU1N2M2MDg0/MmY5NC5wbmc.jpg GEO Decoded https://betterworldwithdesign.com/geo-decoded/ episodic Gary Crossey 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. 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. Generative Engine Optimization, GEO, AI Content Optimization, Generative AI, AI SEO, Content Strategy, Digital Marketing, AI Marketing, Large Language Models, Content Creation, AI Algorithms, Information Retrieval, AI-Generated Content Gary Crossey No No The Technical Foundation of Generative AI Systems 2 2 The Technical Foundation of Generative AI Systems full 12e905bd-3497-4e89-a595-0361aff29965 https://share.transistor.fm/s/3c5d2106 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/

]]> 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/

]]> Sat, 04 Oct 2025 06:00:00 -0400 Gary Crossey Gary Crossey 1338 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/

]]> vector databases, embedding spaces, retrieval-augmented generation (RAG), tokens, content structures, technical infrastructure, large language models (LLMs), multimodal AI, content optimization, machine learning, natural language processing, AI systems architecture No GEO Decoded Podcast - Episode 1: Introduction to Generative Engine Optimization 1 1 GEO Decoded Podcast - Episode 1: Introduction to Generative Engine Optimization full feed2f38-646b-4e98-bc9f-fc2345863881 https://share.transistor.fm/s/ad99ded1 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/

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]]> 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/

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]]> Sat, 27 Sep 2025 06:00:00 -0400 Gary Crossey Gary Crossey 1361 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/

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]]> Generative Engine Optimization, GEO, AI citations, AI content discovery, AEO vs SEO, AI retrieval, RAG, vector databases, embeddings, prompt‑ready content, schema for AI assistants, content structure for AI, AI for marketing, LLM fundamentals, multimodal AI systems, get cited by ChatGPT, make content discoverable to AI, structure web pages for AI retrieval No