Plain-English definition
Semantic SEO organizes content around entities — people, companies, ideas — and the relationships between them. Models think in graphs, not keywords. When your site reflects that structure, it’s easier for both humans and machines to understand your expertise.
What people ask
How does semantic SEO work?
Map topics → entities → supporting content. Add schema and internal links. You’re essentially building your own knowledge graph.
Semantic SEO vs AI SEO?
Semantic SEO is the structure. AI SEO is the toolkit layered on top. You want both: structure that models can understand and tools that help you scale.
Concrete example?
Take a glossary entry like “LLM SEO.” It should link to AEO, GEO, AI Overviews, and even to a talk you gave on the topic. That network shows the model you’re part of a bigger story.
Practical note
Semantic SEO isn’t new — but in the age of AI, it’s no longer optional. If your competitors are mapping entities and you’re still stuffing keywords, they’ll own the AI layer before you realize what happened.
Closing thought
The takeaway: build your content like you’re curating a museum, not just writing blog posts. Show how the pieces fit. That’s semantic SEO in practice.
See how EWR Digital applies this