Entity SEO
Optimizing for how search engines and AI models understand your brand, people, and products as distinct entities in their knowledge graphs.
What is Entity SEO?
Entity SEO is the practice of making search engines and AI models recognize your brand, people, products, and concepts as distinct entities in their knowledge graphs. Instead of optimizing pages for keywords, you optimize your entire digital presence to be understood as a known thing. Google's Knowledge Graph, Wikidata, and LLM training data all work with entities. If you're not an entity, you're just text.
What it means in practice
Entity SEO means building consistent, machine-readable signals across the web. You claim and connect your presence on Google Business, Wikipedia, Wikidata, Crunchbase, LinkedIn, and industry directories. You use structured data to define who you are, what you do, and how you relate to other entities. Then you reinforce those signals through consistent naming, descriptions, and cross-references. For AI search, entity strength determines whether models know you exist. When someone asks ChatGPT about your domain, does your brand come up? Entity SEO is how you get into the model's worldview.
Why it matters
LLMs and knowledge graphs power the future of search. They don't think in keywords — they think in entities and relationships. Building a strong entity presence means AI models recognize you, cite you, and recommend you. Without it, you're invisible to the systems that increasingly decide what users see.
Common mistakes
- Having inconsistent brand information across different platforms and profiles
- Neglecting structured data that explicitly defines your entity and its relationships
- Focusing only on Google while ignoring Wikidata, LinkedIn, and other entity sources
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winning the algorithm →Andreas Cederblad Δ