Knowledge Graph.

The Knowledge Graph is a vast, interconnected database with which Google understands the world not as a pile of keywords but as a network of entities and their relationships. An entity is a clearly identifiable «thing», for instance the company DLM Digital, the city of Zurich or the concept of search engine optimisation, each carrying an identifier of its own. The relationships between those entities are stored as well, which is what makes a question such as «who runs that agency» answerable at all.

The most visible expression is the knowledge panel: the information box that appears on the right on desktop, or at the top on mobile, when you search for a well-known person, brand or place. It bundles facts such as founding year, address, logo, social profiles or related entities, drawn together from several different sources. Nobody writes that panel by hand; it is assembled from what is available, which is exactly why the underlying data has to agree across every source it draws on.

For companies the Knowledge Graph matters strategically, because AI search systems and classic search increasingly work on entities. A business recorded as a clearly defined entity is more likely to be cited and recommended correctly. You strengthen your own presence through consistent NAP data, Organization schema in JSON-LD with sameAs references, a properly maintained Google Business Profile, and mentions on trustworthy sources such as Wikidata. None of these is a quick win, and all of them compound over time.

An example. When somebody searches for an established Zurich agency, Google may show a knowledge panel with logo, address, opening hours and website. That data comes from the Knowledge Graph, which pulls it together from the business profile, the markup on the website and external sources. Where those three disagree, the panel tends to show whichever version the majority of sources supports, not necessarily the one that is current, which is the practical argument for tidying up old entries.