Short and sweet:
Knowledge graph; a database of real-world entities, people, places, organizations, concepts, and the relationships between them, that search engines use to understand and connect information rather than treating each webpage in isolation.
Best known through Google’s Knowledge Graph, which powers the info boxes that appear beside many search results.
See also: NAP Consistency, Structured Data, SEO
A knowledge graph lets a search engine understand that a query is about a specific entity, a particular person, brand, or place, rather than just a string of text, and connect it to everything else it already knows about that entity from other sources. That’s why searching a company name often surfaces a panel with its logo, founding date, and social profiles pulled together automatically, rather than just a list of links. For marketers, being clearly and consistently represented across the web, matching business details, structured data, and authoritative mentions, improves the odds of being recognized as a distinct, trustworthy entity rather than getting confused with a similarly named competitor.
A search for a well-known brand name might surface a knowledge panel showing its logo, headquarters, and founding date, pulled from the knowledge graph.
A local business ensuring its name, address, and phone number match exactly across its website, directories, and social profiles helps search engines connect those mentions to a single knowledge graph entity.
A company launching a rebrand might monitor its knowledge graph entry to see how quickly search engines update the associated logo and details.
