Core concepts
Wikidata
A free, structured, machine-readable knowledge base, sister to Wikipedia, where each entity has a unique Q-number. A key feeder of knowledge graphs and AI answers.
By Shimon Carroll, Founder, SEO for AI Agents · Last updated
Wikidata is a free, collaboratively edited, structured knowledge base operated by the Wikimedia Foundation. Where Wikipedia stores prose, Wikidata stores facts as structured statements, each entity has a unique identifier (a Q-number) and a set of properties (founded date, headquarters, official website, and so on). It is the structured backbone behind Wikipedia infoboxes and a major feeder of Google's Knowledge Graph and of the data AI engines draw on.
Wikidata matters strategically because its notability bar is lower than Wikipedia's while its value for entity recognition is comparably high. A brand that does not yet meet Wikipedia's standards for a full article may still be able to have a well-sourced Wikidata entry, which gives engines a structured, machine-readable node to recognize. The Q-number becomes the canonical identifier you can reference in sameAs links from your structured data, tying your on-site entity to the graph.
The work is to create or improve a well-sourced Wikidata item for the organization and its key people, with accurate properties and references, and to link to it via sameAs from the site's Organization schema. Because AI engines lean heavily on Wikipedia and Wikidata as trusted sources (Wikipedia alone accounts for a large share of measured AI citations), entity presence here is among the highest-leverage AI-visibility moves available. We check for Wikidata and Wikipedia presence in the brand and local audit.
Related terms
Primary sources
- Wikidata, introduction
Wikimedia Foundation