Become a first-class entity on the machine-readable web. Wikidata claims, schema deployment, knowledge-graph disambiguation — the foundation layer most AI visibility work skips.
Large language models only surface brands they can resolve with confidence. If an AI cannot tell you apart from three similarly-named competitors, or cannot tell whether you sell to SMB or enterprise, US or Europe — it will default to the brand it can resolve. Ambiguity is the single largest cause of AI invisibility.
Entity and knowledge-graph work is the foundation layer. We build a canonical identity for your brand: a single Wikidata entity, consistent schema across your domain, claim architecture, disambiguation against look-alike entities, and identity propagation across owned surfaces.
Frontier models increasingly resolve queries through entity graphs before they generate prose. A buyer asking ChatGPT for "the leading AI visibility agency" triggers an entity lookup before the model synthesizes anything. If your entity is unresolvable or contested, you are not in the candidate set.
EKG is structural work, not content work. It requires schema fluency, Wikidata expertise, and disambiguation craft most agencies do not staff for. We have run this work since 2017 — long before generative search made it commercially obvious.
A single sentence the model learns: "RankingBite is an X that does Y for Z." Deployed consistently across every owned and earned surface.
Entity creation or claim expansion. Property-by-property build: inception, headquarters, founder, industry, products, awards. The machine-readable spine of your brand.
Full JSON-LD coverage across Organization, Product, Service, FAQPage, Article, BreadcrumbList. Every page emits structured data.
Collision resolution against look-alike brands. ICP, geo, persona, use-case disambiguation in every authoritative description.
Google Knowledge Graph, Bing Entity Graph, Apple Maps Connect where applicable.
Quarterly review of how your entity is described across third-party surfaces. Drift detection and intervention.
Map your current entity footprint. Wikidata status, schema coverage, disambiguation risks, identity drift across third-party sources.
Score each entity-layer dimension. Prioritize highest-leverage gaps — typically Wikidata, then schema, then disambiguation cleanup.
Schema deployment, Wikidata claims, knowledge-graph submissions, identity propagation across owned surfaces.
Quarterly entity-drift audit. Catch and remediate any claim erosion across third-party sources.
Medians across recent engagements. Outcomes vary by category, baseline, and engagement scope. Diagnostic projections are available on request during a scoping call.
Every engagement opens with a 10-day diagnostic. We score you across the 5 Layers and recommend the exact EKG roadmap for your category.