{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AEO Decoded","title":"2.1 Entity graphs in practice","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cf502f39\"></iframe>","width":"100%","height":180,"duration":1583,"description":"Welcome back to Season 2 of AEO Decoded! In the premiere episode, we dive deep into entity graphs, the semantic backbone of modern Answer Engine Optimization.You'll learn how to build a knowledge architecture that AI systems can actually understand and cite. We cover disambiguation pages, relationship pages, and how to structure your internal linking to create what I call \"machine-readable authority.\"What You'll Learn:The difference between entity graphs and topic clustersHow to create effective disambiguation pages for your core entitiesBuilding relationship pages that map connections between conceptsInternal linking strategies that reinforce your entity graphHow entity graphs work in harmony with structured dataYour action: identify your top 5 core entities and create disambiguation pages for them this week.Resources Mentioned:Season 1, Episode 4: Entity OptimizationSeason 1, Episode 3: Structured DataVisit aeodecoded.ai for more resourcesNext Week: Episode 2.2 Advanced Schema Stacks and Harmonizations","thumbnail_url":"https://img.transistorcdn.com/TtZZ1PwrDVO18PDwCYdNxB-yZdTXzjiw810g_dEqLmo/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NzU1/YTliYTViMmIwMzkz/ZGQxOTkwNDRhNzE0/NTFlNC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}