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 clusters
• How to create effective disambiguation pages for your core entities
• Building relationship pages that map connections between concepts
• Internal linking strategies that reinforce your entity graph
• How entity graphs work in harmony with structured data

Your action: identify your top 5 core entities and create disambiguation pages for them this week.

Resources Mentioned:

• Season 1, Episode 4: Entity Optimization
• Season 1, Episode 3: Structured Data
• Visit aeodecoded.ai for more resources

Next Week: Episode 2.2 Advanced Schema Stacks and Harmonizations