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DocumentationIntelligenceBKG-1.0: Brand Knowledge Graph
IntelligenceCurrent contractVersion DOCS-2.0

BKG-1.0: Brand Knowledge Graph

Model entities, aliases, relationships, claims and evidence to build a governed semantic representation of the brand.

How to interpret this document

This content describes technical and methodological behavior that is implemented or explicitly planned in the product. When a control depends on configuration, a provider, a secret, a contract or legal approval, that dependency must remain visible.

Purpose

BKG-1.0 creates a canonical semantic layer for organizations, brands, products, websites, markets, competitors, attributes, channels and related topics.

Entities and aliases

Each entity has a canonical key, type, name, description, market, locale, ownership and confidence. Aliases map abbreviations, former names, domains, handles and identifiers without duplicating entities.

Relationships

The graph uses explicit relationships such as owns, represented_by, operates_in, competes_with, has_attribute and related_to. Relationships can be candidate, verified, rejected or archived.

Claims and evidence

Claims capture verifiable statements about identity, ownership, offering, market, attributes or positioning. Evidence preserves source, URL, excerpt, weight, hash and verification state.

Governed ingestion

Crawler Intelligence, Source Intelligence and Prompt Demand can create KnowledgeGraphCandidate records. Those signals do not enter the canonical graph automatically; review is required before promotion.

Health scores

BKG-1.0 calculates Identity, Consistency, Evidence Coverage, Relationship Verification and Coverage. These indicators measure internal completeness and governance, not whether external AI models understand the brand identically.

Contamination protection

Contested claims, ambiguous aliases and unsupported relationships remain outside the verified layer until reviewed. Identity and ownership require explicit evidence in the baseline.

Next layer

Narrative & Perception Intelligence uses the Knowledge Graph as canonical vocabulary to compare what the brand declares with what models and external sources say.