2.1 Entity graphs in practice
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2.1 Entity graphs in practice
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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
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