Seven connected layers
The EntityBuild Framework™
A complete operating model for turning scattered company signals into a coherent, measurable entity system.
Explore each layer ↓Interactive model
Every output becomes the next layer’s input.
Select a layer to inspect its purpose, required inputs, expected outputs, practical example, and measurement model.
Layer 01 / 07
Entity Identity
Establish the canonical facts that distinguish the organization.
- Inputs
- Company facts, names, domains, profiles
- Outputs
- Canonical identity record
- Example
- One consistent legal and public identity
- Measurement
- Identity accuracy and consistency
Design principles
The framework is evidence-led by design.
Truth before amplification
Canonical facts and verified relationships come before distribution or authority work.
Systems before tactics
Individual optimizations are connected to a shared entity model and outcome.
Probability, not promises
We improve retrieval and citation conditions without claiming control over AI outputs.
Measurement over anecdotes
Repeatable query sets and trends replace isolated screenshots as evidence.
How to engage
Start at the weakest layer.
A company with conflicting identity signals should not begin by scaling content. A company with strong entity infrastructure but weak external evidence needs authority work. The initial audit locates the constraint, so the program starts where it can create the most leverage.
Find your weakest layer ↗Start with a clear baseline
Build an Entity AI Systems Can Understand.
See how leading AI and search systems interpret your company, where the evidence breaks down, and what to improve next.