KNOWLEDGE GRAPH™ is the Business Entity Relationship Engine. It builds, maintains, and publishes the complete graph of your business — entities, relationships, cardinalities, and cross-references — in the formats AI knowledge systems require for high-confidence reasoning and recommendation.
AI systems do not see businesses as collections of web pages. They see them as nodes in a knowledge graph — connected to other nodes by typed, directional relationships. A business that exists only as web pages is processed differently from a business whose entities, relationships, and cross-references are explicitly modelled and published.
The difference is not just visibility — it is confidence. An AI system that can traverse a complete, consistent, cross-referenced entity graph assigns higher confidence to its understanding of that business — and higher confidence leads to more frequent, more accurate recommendations.
KNOWLEDGE GRAPH™ builds and maintains this graph — explicitly, completely, and in the format AI knowledge systems require.
Every entity in the business graph is modelled with a stable identifier, full property set, and relationship map.
The primary entity. Legal name, trading name, category, founding date, location, legal identifiers, canonical URL, and all property types.
legalName · tradingName · category · foundingDate · headquarters · registrationNumber · vatNumber · canonicalUrlEvery service the business offers. Name, description, type, target client, problem solved, delivery format, pricing model, and outcome delivered.
name · description · serviceType · targetClient · problemSolved · deliveryFormat · priceRange · outcomeEvery team member. Name, role, credentials, expertise areas, professional profiles, and relationship to the business entity.
name · jobTitle · credentials · expertiseAreas · linkedInUrl · publicationUrlsEvery office, facility, or service location. Address, coordinates, type, and service area covered from that location.
streetAddress · city · country · coordinates · locationType · serviceAreaEvery certification, accreditation, or qualification. Name, issuing body, validity period, and registry URL for independent verification.
name · issuingBody · issuingBodyUrl · validFrom · validUntil · registryUrlEvery award or recognition. Name, awarding body, year received, and reference URL pointing to the awarding body's announcement.
name · awardingBody · year · referenceUrl · categoryEvery named client or client type. Name or sector, relationship type, service engaged, and outcome achieved — anonymised where required.
name · sector · companySize · serviceEngaged · outcomeAchieved · relationshipTypeEvery partner organisation. Name, relationship type, collaboration scope, and mutual reference URLs.
name · partnershipType · collaborationScope · partnerUrl · mutualReferenceEvery identified competitor. Name, category overlap, geographic overlap, service overlap, and relative AI visibility positioning.
name · categoryOverlap · geographicOverlap · serviceOverlap · aiVisibilityScoreEvery relationship typed, directional, and bidirectional. AI systems traverse the graph in any direction from any entry point.
Cardinalities tell AI systems the nature of each relationship. Incorrect cardinalities produce incorrect knowledge graph inferences.
Used where exactly one entity relates to exactly one other. Ensures AI does not infer multiple instances where only one exists.
Business hasFounder Person (one founder per business)The most common cardinality. One business provides many services. One business employs many people. One service solves many problems.
Business provides Service (one business, many services)Used for partnership and competition relationships where multiple businesses relate to multiple others simultaneously.
Person hasExpertise Topic (many people, many topics)Cross-references are the mechanism by which AI systems verify entity consistency across sources. Without them, the same business may appear as multiple conflicting nodes.
Every entity in the business graph in structured JSON format. Stable identifiers. Full property sets. Relationship references. Used by AI SIGNALS™, EDGE INJECTOR™, and AI SONAR™.
Every relationship typed and directional. Every entity connected. Every cross-reference explicit. The file AI systems use to build their knowledge graph entry for the business. Published at domain root.
Full relationship map with cardinalities, bidirectional links, and cross-reference arrays. Used as the primary input for EDGE INJECTOR™ and AI SONAR™. Versioned and SHA-256 ready.