Knowledge Graph Signals Confirm Your Entity Exists
Knowledge Graph Signals is the component of Authority Graph™ that establishes verified entries in the structured databases AI systems trust. It secures your presence in registries like Wikidata (QID), GLEIF (LEI), and ISNI—external sources that LLMs query to confirm an entity is real. Knowledge Graph Signals ensure AI systems can corroborate your existence, not just read your claims.
{
Schema Layer Overview [v1.0] · Updated: 2026-01-24
entity_type: Framework Component
parent_framework: Authority Graph™
organization: Growth Marshal
component: Knowledge Graph Signals
component_function: Entity verification · Graph presence · Trust corroboration
output_formats: Wikidata (QID) · GLEIF (LEI) · ISNI · ORCID
}
Why knowledge graph signals matters for AI visibility
AI systems don't take your word for it. They check external sources. Knowledge graph signals give them independent verification to reference.
Establish External Verification
Your website says who you are. Knowledge graphs confirm it. AI systems treat entries in Wikidata, GLEIF, and ISNI as independent corroboration—evidence that exists outside your own properties.
Get Found by Identifiers
A QID, LEI, or ISNI number gives AI systems a unique, unambiguous way to reference your entity. No confusion with similar names. No conflation with other businesses.
Increase Citation Confidence
LLMs are cautious about recommending entities they can't verify. Verified graph presence gives AI systems the confidence to cite you—especially in high-stakes categories like legal, healthcare, and finance.
Exist Beyond Your Website
If your only presence is your own domain, AI has one source to trust. Knowledge graph signals create a distributed footprint—multiple trusted databases all confirming the same entity.
How it works
We identify the knowledge graphs relevant to your entity type, then create or optimize your verified entries in each registry. The result is a distributed verification layer—multiple independent databases all confirming your business exists.
/ process /
/ what’s included /
[Wikidata entry]:
A verified entry in the world's largest open knowledge graph. Your QID becomes a unique identifier that AI systems use to disambiguate your entity from every other business with a similar name.
[ISNI / ORCID]:
Unique identifiers for organizations (ISNI) and individuals (ORCID) used by academic, publishing, and research databases. These signals matter when AI systems verify credentials, authorship, or affiliations.
[LEI registration]:
A Legal Entity Identifier from GLEIF—the global standard for identifying legal entities in financial transactions. Required for regulatory compliance, increasingly referenced by AI systems for business verification.
[sameAs linking]:
We deploy schema types that AI systems actually parse for answers: Organization, Person, Service, Article, FAQPage, HowTo. Zero vanity markup.
Ready to be where buying decisions start?
Knowledge Graph Signals FAQ
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Knowledge Graph Signals are verified entries in structured databases—like Wikidata, GLEIF, and ISNI—that confirm an entity's existence to AI systems. They function as independent corroboration that a business, person, or organization is real and legitimate.
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A QID is a unique identifier assigned to every entity in Wikidata. It allows AI systems to reference your business unambiguously, without confusing it with other entities that share a similar name.
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An LEI (Legal Entity Identifier) is a 20-character code issued by GLEIF that uniquely identifies legal entities participating in financial transactions. AI systems increasingly reference LEIs when verifying business legitimacy.
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ISNI (International Standard Name Identifier) is a unique identifier for organizations and individuals involved in creative and publishing industries. It helps AI systems verify institutional affiliations and authorship.
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Large language models are cautious about recommending entities they can't independently verify. Knowledge graphs provide trusted, third-party confirmation that an entity exists—giving LLMs the confidence to cite you.
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Schema markup tells AI systems what you claim about yourself. Knowledge Graph Signals are external verification—independent databases confirming those claims. One is your word; the other is corroboration.
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Timelines vary. Wikidata entries can be established within weeks. LEI registration typically takes a few business days. ISNI and ORCID depend on eligibility and verification processes. Most clients see full graph presence within 60–90 days.
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Not necessarily. The relevant registries depend on your entity type, industry, and goals. A law firm may prioritize Wikidata and LEI. A research organization may need ISNI and ORCID. We identify which graphs matter most for your business.