Wikidata · Knowledge Graph
Structured entity data feeds Google's Knowledge Graph and is queried directly by every major LLM. Wikidata cleanup raises the floor on how AI describes you — sometimes more than Wikipedia does.
What you get
Wikidata feeds Google's Knowledge Graph, ChatGPT, Gemini, Perplexity and other AI systems. We create or clean up your entity, add stable identifiers, and align multilingual labels.
Starting price
from €550 per entity
Typical timeline
1-2 weeks
Best for
What we ship
A new Wikidata item with all the structured claims, identifiers and multilingual labels Wikipedia / Google / LLMs expect.
Audit and fix an existing item. Most public entities have outdated claims, missing identifiers, or wrong descriptions.
LEI, ISIN, ORCID, ROR, Crunchbase, MusicBrainz, IMDb — whatever applies. This is where AI retrieval looks.
Labels and descriptions across the languages your buyers and AI systems search in.
Note: we don't guarantee a Google Knowledge Panel — Google's systems make that call. Our work materially raises the probability.
Frequently asked questions
Share what you have — existing media, target languages, page URLs if any — and we'll come back with a realistic plan and price.