{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The GEO Show","title":"Episode 2: The GEO Show","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f5d7e60f\"></iframe>","width":"100%","height":180,"duration":777,"description":"Welcome to Episode 2 of The GEO Show — where we break down the biggest developments in Generative Engine Optimization (GEO), AI search, and the rapidly changing world of SEO.\nIn this episode, Paris Childress, founder of Hop AI and co-founder of GEO Forge, looks at what may be the beginnings of an entirely new search ecosystem — complete with its own analytics, advertising infrastructure, crawlers, and measurement challenges.\n\nIn this episode:\n\n📊 Google's new GEO reporting already has a data problem\nGoogle Search Console's new generative AI performance reporting is giving marketers first-party visibility into AI citations and impressions — but a logging bug is also a reminder that GEO measurement is still very immature.\n\n💰 Advertising inside AI answers is becoming a real media channel\nSimilarweb is now tracking advertising placements across ChatGPT, Google AI Mode, and AI Overviews. The bigger takeaway: paid AI search is quickly becoming measurable enough for marketers to treat it as a legitimate advertising channel.\n\n🎯 OpenAI is building serious advertising attribution infrastructure\nChatGPT advertisers now have access to increasingly familiar performance marketing technology, including pixel-based conversion matching. OpenAI's advertising stack is starting to look a lot more like the infrastructure marketers already know from Google and Meta.\n\n🍎 Why is Applebot dramatically increasing its crawling capacity?\nApple has reportedly expanded Applebot's crawl infrastructure by thousands of IP addresses. Apple hasn't explained why — but it's a fascinating signal about where Apple's AI and search ambitions could be heading.\n\n🔎 Ahrefs is trying to estimate AI prompt demand\nAhrefs has introduced an \"AI-adjusted volume\" metric designed to approximate demand across AI platforms. But can we ever have a true equivalent of SEO keyword volume for AI prompts?\nMy prediction: probably not.\n\n🏷️ AI has a brand categorization problem\nA large language model (LLM) can know plenty about...","thumbnail_url":"https://img.transistorcdn.com/7cDHOTKwTPJbamMzkSU5XMeYqbfRSPk5nMQ6zhbTeaI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kY2Ri/MGIyZjViNzJiODc5/ZGM5MmJhYmE4NmYx/MTVhYy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}