Entity Foundation Pillar

Graph Structuring: your entities recognised.

Before recommending your name or your work, the AIs need to understand who you are and where your authority comes from. We design and structure your entities in the knowledge graphs.

What we structure

From loose information to entities the AIs recognise.

We turn scattered information into a solid semantic structure, with a stable identity and clear relations between your entities.

01Clear, stable entities
02Relations between entities, products and people
03Registration in global graphs (SameAs → Wikidata)
04Schema.org (JSON-LD) injected per page
05Semantic disambiguation for your namesakes
The entity architecture

Graph, SameAs and Schema — working together.

Three fronts that feed each other to anchor your name and your authority in the AIs' global graph.

01

The Graph

The core asset: your entities, their stable identity and the relations between them, which tied together strengthen your global graph.

02

The SameAs

External corroboration through records of your entities across applicable channels and platforms, strengthening the nodes and expanding your authority.

03

The Schema

The on-site expression: nodes become Schema.org (JSON-LD), injected with per-page relevance across your site.

SameAs · external corroboration

Anchor your name to the global graph, correctly.

We register your entities across applicable channels, platforms and organizations, culminating in Wikidata — the graph AIs consult most. Every reference passes a 5-test quality gate before it counts.

01Official — the reference is correct and real
02Identity — the reference is not to a namesake
03Consistency — name, description and photo match
04Corroboration — the profile links back to the site
05Stability — the URL survives over time
Schema · on-site expression

The right node, with relevance, on every page.

It's not the same block everywhere. We organize your graph's nodes as Schema.org (JSON-LD) and inject, on each page, the entity and relations most relevant there — with integrity verified live.

01

Nodes as Schema.org

Every entity and relation becomes valid JSON-LD, readable by search AIs.

02

Per-page relevance

Each page gets the slice of the graph most relevant to its content.

03

Live validation

We check that the published JSON-LD is live and intact — always.

The structuring flow

What was fragmented information becomes an intact, verified graph.

We receive your sources, extract entities and relations with AI, apply human curation where it's uncertain and publish the result as structured data on your site.

SourcesWebsite, LinkedIn, company records
ExtractionAI + human curation on the uncertain
GraphSchema.org HUB: @id and relations
PublishingJSON-LD validated live on your site
Sumaúma Graph Engine® — proprietary engine for graph assembly and publishing.

Structure your entities and strengthen your authority with our technology.

Request the AI-Scan Audit and discover the EPS — your entity's prominence in the public knowledge graphs.