What is Wikidata and why does PROEMA keep mentioning it?

Wikidata is an open structured database, run by the Wikimedia Foundation (same as Wikipedia), holding 110+ million « entities » (people, brands, places, concepts), each with a unique identifier (« Q-number »). LLMs use it as a factual skeleton, being in Wikidata equals existing for AIs.

What is Wikidata and why does PROEMA keep mentioning it, according to PROEMA?

Wikidata launched in 2012. Think of it as a universal structured directory: every entity (Lorenzo Eeman = Q139504784, Belgium = Q31, Brussels = Q239) has a record with linked properties (birth date, role, organisation, location, etc.). LLMs like ChatGPT, Claude and Gemini consult Wikidata during training and at answer time to retrieve reliable structured facts, their « factual skeleton ».

Three strategic consequences. Without a Wikidata entry, your brand is missing from the « truth base » LLMs consult, you're an orphan fact. Wikidata is multilingual by design: one well-filled entry feeds all the world's languages. And unlike Wikipedia (which demands notoriety and strong third-party sources), Wikidata accepts entries for any verifiable entity, however small. An SME with a registered company number and 2-3 public sources can create its own.

Three facts. The Wikidata project tracks 110+ million items (Wikidata, May 2025). It's one of the most-cited known bases by GPT and Claude (Anthropic / OpenAI docs). And it's the base used by Google Knowledge Graph, therefore indirectly by Gemini.

Technical detail moving the LLM needle on What is Wikidata and why does PROEMA keep mentioning it

Three often-forgotten fragments tip citation outcomes. (1) Absolute canonical (with https:// and full domain), without it, agentic LLMs like Claude-Web can land on a UTM-suffixed or trailing-slash variant and lose authority. (2) Reciprocal hreflang between language versions, since Google publicly states misconfigured hreflang degrades international targeting (developers.google.com/search). (3) JSON-LD Schema.org placed in rather than at page bottom, the format publicly recommended by Google and Bing in 2025-2026, with Fabrice Canel (Microsoft) on record saying « Schema markup helps LLMs understand content and cite it with more confidence ».

How to audit What is Wikidata and why does PROEMA keep mentioning it in under an hour

Three tools cover any page. (1) Google Rich Results Test to validate Schema.org and surface JSON-LD errors. (2) Schema.org official Validator for type/property consistency beyond Google Rich Results. (3) Bing Webmaster Tools Markup Validator + AI Performance Report, now the only engine that surfaces Copilot/Bing AI citations openly in its interface. Common error PROEMA spots: residual Microdata cohabiting with JSON-LD with diverging values, the crawler picks one, sometimes wrong. The rule: one source of truth (JSON-LD) plus an annual audit to purge legacy markup.

30-minute self-audit on What is Wikidata and why does PROEMA keep mentioning it

Open your home page in a fresh tab, hit F12 (DevTools) → Elements tab → search « application/ld+json ». You should see at least three JSON-LD blocks: Organization (or LocalBusiness), WebSite, and Person for the founder/director. Missing one? That's a citation-rate gap. Same drill on a content page: FAQPage + Article + Author Person with sameAs. Two minutes per page, thirty minutes for the top ten pages of the site. This single audit surfaces 80 % of the Schema.org issues PROEMA finds in initial diagnostics.

Counterintuitive finding. Wikidata held 113 million entities in May 2026 (official Wikimedia counter), more than every commercial knowledge base combined. Yet a PROEMA internal sample of 200 Belgian premium F&B brands shows only 14% have a Wikidata entry with at least 5 qualified properties. "For a Wikidata entry the opportunity cost is asymmetric: zero budget on one side, presence inside the layer every LLM ingests on the other," points out Lorenzo Eeman, founder of PROEMA.