Knowledge graphs are the foundation of how AI systems understand relationships between entities. Google's Knowledge Graph, Wikidata, and proprietary AI knowledge bases all work similarly: they map connections between people, places, concepts, and organizations.
The Knowledge Integration pillar of the SPARK Framework™ focuses on getting your brand properly represented in these graphs. This means structured data markup, consistent NAP information, authoritative backlinks, and content that clearly defines what you do and who you serve.
When AI systems query these graphs, they're looking for entities with strong, verified connections. The more robust your knowledge graph presence, the more likely you are to be cited as an authoritative source.
Question for the community: What tools or strategies have you found most effective for improving knowledge graph representation?