Also known as: Wikidata, Wikidata QID, Q number
Wikidata is a free, collaboratively maintained knowledge base, launched in 2012 and run by the Wikimedia Foundation. Every entity receives a unique Q number — Q42 for Douglas Adams, Q180711 for search engine optimisation. It is a central external source of knowledge for Google's Knowledge Graph, for Wikipedia, and for OpenAI, Anthropic and many other AI providers. A brand with a Wikidata entity has a machine-readable identity that AI engines can attribute consistently and correctly.
A brand can create its own Wikidata entry if it is demonstrably public enough — that is, already mentioned in independent sources such as press coverage, industry databases or trade media. The entry needs a distinct label with the brand name plus aliases for alternative spellings; a category, such as "business" or, more precisely, "software company"; properties such as founding date, headquarters, industry and website; and evidence through reference properties, of which the website and at least one external source such as a company database are the most important.
Once a Q number exists, the website should link to the Wikidata URL through sameAs in its Schema.org Organization markup — and ideally to its other brand profiles as well. That makes the connection explicit, so that Google and the AI engines can identify the brand with certainty. sameAs is the single most important Schema.org feature for linking entities.
For every new glossary or guide article, look up the main entities named in the text — terms, people, tools — on Wikidata, note their Q numbers and build them into the Schema.org markup as about or mentions with a sameAs Wikidata URL. AI engines then recognise the thematic depth immediately and the content sits within the context of the Knowledge Graph. Done systematically, this yields a measurable advantage in citations.
Example: A German-speaking software provider had no Wikidata entry, and in tool comparison queries ChatGPT frequently confused its brand name with similar-sounding English-language products. Creating an entry with the right category, aliases in both languages, the website, a company database reference and a link to its industry resolved it: after twelve weeks the brand was recognised correctly and consistently, with not one confusion across 24 test queries.
sameAs pointing at the Wikidata URL. Google then associates the site with the entity and weighs its trust signals accordingly. The Content Studio sets sameAs automatically for entities it recognises.Wikidata entity check in the GEO audit
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