Knowledge Graph Optimisation: Your Brand in the AI Backbone
Knowledge graph optimisation connects your brand's identity to the external graphs that AI engines consult — Wikidata, Google Knowledge Graph, and structured sameAs links.
Built as a focused GEO workstream, not a generic SEO add-on.
AI engines consult structured knowledge graphs to resolve entities. If your brand is missing, inconsistent, or unlinked in those graphs, every AI answer that needs to identify you starts from weaker evidence — even when your own pages are well structured.
Knowledge graphs are where AI engines resolve the question “who is this?” with high confidence. Knowledge graph optimisation makes sure your brand’s answer in those graphs matches the identity your own pages declare.
The graph layer under AI answers
ChatGPT, Gemini, and Google AI Overviews do not only read your pages. They consult structured knowledge sources to confirm entity identity, ownership, and relationships. When those sources agree with your site, the engine’s confidence rises and citation decisions favour you. When they disagree — or you are absent — the engine hedges.
What we work on
- Wikidata — the shared entity backbone. We audit your item, correct properties, and add authoritative statements where supportable.
- Google Knowledge Graph — the consumer-facing graph. We strengthen the signals that resolve your entity correctly.
- sameAs networks — the links that tell engines “this page, this profile, this directory entry, and this Wikidata item are the same entity.”
- Industry graphs — sector-specific sources your buyers and their AI assistants consult.
The discipline of sameAs
Every sameAs link we implement is a factual statement about identity: the URL genuinely represents the same entity. We do not link unrelated properties or chase quantity. A small set of accurate identity links outperforms a large set of loose ones.
Related work
Knowledge graph optimisation builds on Entity Optimisation (your on-page identity) and Structured Data for GEO (the schema that declares sameAs). Together they form the technical foundation that AI Citation Building and Prompt Optimisation rely on.
From audit to AI visibility improvements
External entity audit
We check your presence in Wikidata, Google Knowledge Graph, industry graphs, and structured directories.
Identity reconciliation
We map your on-site entity to external representations and document every variant and identifier.
sameAs linking
We connect your entity across sources with sameAs references so engines treat them as one identity.
Graph submission
Where relevant, we draft and submit Wikidata entries and verify Knowledge Panel signals.
Deliverables
- External knowledge graph presence audit
- Entity reconciliation map across sources
- sameAs link implementation on-page and in schema
- Wikidata item creation or correction (where applicable)
- Knowledge Panel signal review
- Ongoing graph consistency monitoring
Frequently Asked Questions
Start with a free GEO audit.
We'll show you where your brand is missing from AI-generated answers and what to fix first.