Entity & Knowledge Architecture
A structured identity machines understand — entities, schema, and a knowledge graph that holds.
Before a model can recommend you, it has to know what you are — unambiguously. Entity and knowledge architecture is the work of defining your brand, people, products, and concepts as structured entities that engines can resolve, connect, and trust.
We build the schema, identifiers, and relationships that turn scattered web mentions into a single, coherent knowledge graph — the foundation everything else in AI visibility stands on.
At a glance
Entity definition
We establish your brand, founders, and products as distinct entities with stable identifiers across the web.
Structured data
Schema.org markup engineered for the types and properties engines actually consume — not box-ticking.
Knowledge graph
Relationships between your entities and the wider web, so models place you correctly in their map of the world.
Disambiguation
We resolve the name clashes and conflicting records that make engines hedge or get you wrong.
Want to be the brand the models name?