Entity modeling
A formal definition of what your brand, products, and people are — distinct, disambiguated, documented. The blueprint everything else follows; building the relational store itself is knowledge graphs.
Services / Search
One brand, one entity.
An entity, practically speaking, is what search engines and AI think your brand is — a distinct, disambiguated identity with attributes and relationships. Entity architecture defines that canonical model for your brand, products, and people, then propagates it consistently everywhere machines look.
What's included
IncludedClarity machines can reason over.
Ambiguity is the enemy of citation. We eliminate it systematically.
Knowledge panel engineering
The corroboration and markup work behind accurate knowledge panels — and correcting wrong ones.
SameAs alignment
Your profiles, listings, and mentions unified into one coherent identity graph.
Disambiguation
Separating your entity from similarly-named competitors, places, and concepts.
How it works
From fragmented to canonical.
Entity work is cumulative, each corroborating source strengthens the whole.
01
Audit
We map every entity signal about your brand across the web and score its consistency.
02
Model
The canonical entity model is defined and documented as your source of truth.
03
Propagate
Markup, profiles, content, and PR align to the model, monitored continuously.
Before you build.
Questions, answered.
We're a small business, do entities matter for us? +
Yes, arguably more. Clear entity signals are how local and niche brands get cited by AI instead of being ignored.
How is this different from a knowledge graph? +
Entity architecture defines what your entities are — canonical definitions, disambiguation, consistency. A knowledge graph is the structured store of those entities and their relationships. Definition first, graph second.
How is this different from schema markup? +
Schema is one expression of entity architecture. The architecture is the underlying model; schema, content, and profiles are its implementations.
Can you fix an incorrect knowledge panel? +
Often, yes, through corroborating sources, structured data, and direct feedback channels. Timelines vary by entity type.
Make the next move yours.
Tell us where it breaks.
60 questions · 10 infrastructure domains · 12–15 minutes · 0–100 score with prioritized recommendations. Next: knowledge graphs and SchemaGraph.