How to connect your B2B website's Schema.org @graph with Wikidata for AI disambiguation?
To map your B2B website's entity schema with Wikidata, embed a Schema.org @graph JSON-LD block in your site header containing an Organization node whose `sameAs` array links to your company's Wikidata item URI (e.g. `https://www.wikidata.org/wiki/Q...`), Crunchbase profile, and GitHub organization. This provides AI reasoning engines with an immutable foreign key into global knowledge bases.
Entity nodes with verified sameAs Wikidata linkages achieve 4.2x higher entity resolution confidence in Google Knowledge Graph and OpenAI parametric lookups compared to unlinked organizations.
LLMs pre-train heavily on Wikidata entity triples. Linking your domain's schema to a Wikidata Q-identifier enables the model to connect your website with its existing knowledge graph weights.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://yourdomain.com/#organization",
"name": "Your Company",
"url": "https://yourdomain.com",
"sameAs": [
"https://www.wikidata.org/wiki/Q141547161",
"https://www.linkedin.com/company/yourcompany",
"https://github.com/yourcompany"
]
}
]
}
</script>Step-by-Step Calibration Sequence:
- 1Identify or create your company's entity entry on Wikidata.
- 2Construct a Schema.org @graph containing Organization and WebSite nodes.
- 3Add your Wikidata and authoritative social profile URLs to the sameAs array.
- 4Validate the output using Google's Rich Results Test.
Relayeo Entity Graph Builder
Build and test your complete nested Schema.org @graph in Relayeo's Command Center.
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