Keywords are fading. Entities — the people, places, concepts, and organizations that AI models understand — are the new currency of search visibility.
Traditional SEO taught us to optimize for keywords — specific strings of text that users type into a search box. Entity-based SEO is different. It's about making sure AI models *understand* what your content is about at a conceptual level.
An entity is anything that can be distinctly identified: a person, an organization, a product, a concept, a place. Google's Knowledge Graph contains billions of entities. AI models have internalized similar conceptual maps during training.
When an AI model processes a query, it doesn't just match keywords. It identifies the entities in the query and looks for content that has strong, clear associations with those same entities.
A page that mentions "content marketing" as a keyword is very different from a page that *is* clearly about content marketing — with structured data, internal links, and consistent topical coverage that signals entity authority.
Identify the 5-10 concepts your brand should own. For SoulEngine Labs, those might be: AI search ranking, entity SEO, schema markup, AI content optimization, generative search.
For each core entity, create a comprehensive hub page that covers the topic thoroughly. This becomes your authority signal for that entity.
Link related content together using anchor text that reinforces your entity associations. Consistent, meaningful internal linking tells AI models what your site is fundamentally about.
When authoritative external sources mention your brand alongside your target entities, it dramatically strengthens your entity associations.