Wiki · citable explainer
A knowledge graph is a structured network of entities and relationships that AI systems use to understand the real world — and where your business needs to appear via association, not invented notability.
A knowledge graph models the world as entities and edges. Google Knowledge Graph, Wikidata, and internal LLM entity stores all depend on consistent identifiers and relationships.
SMEs rarely meet encyclopaedic notability. Inventing Wikidata items fails community policy. The workable path is association: link the business to real city, region, country, trade, and sector Q-ids that already exist.
What is a knowledge graph?
A knowledge graph is a structured database of entities and the relationships between them, used by search engines and AI systems for entity understanding.
Do SMEs need their own Wikidata item?
Usually no. Most SMEs lack notability. AI Verified associates businesses with real place, activity, and capability Q-ids instead of inventing SME identity items.
How does AI Verified connect to knowledge graphs?
Through association inventory: Entity sameAs, Place hierarchy, Activity, Capability, and Services slots populated only from validated lookup tables.