Services EKG

Become a first-class entity on the machine-readable web.

Disambiguation, claim-building, and relation modeling that make your brand a recognized, citable entity across Google's Knowledge Graph, Wikidata, and every structured data layer AI systems reference when constructing answers.

AI systems answer in entities, not keywords.

When a language model generates an answer, it doesn't retrieve documents — it reasons about entities. Companies, people, products, and concepts that are well-defined in structured knowledge sources get cited accurately and confidently. Ambiguous or undefined entities get skipped.

Entity & Knowledge Graph work is the foundational layer. Before GEO, before corpus placement, before any surface-level optimization — your brand needs to exist as a first-class entity in the machine-readable web. We build that presence systematically.

First-class
entity status across Google KG, Wikidata, and Schema.org
10 days
to entity disambiguation and gap analysis
Permanent
foundational layer that compounds all other AI visibility work
What we deliver

Six capabilities. One outcome: entity authority.

01
Entity Disambiguation Audit
We determine your current entity status across Google Knowledge Graph, Wikidata, and Freebase derivatives. Is your brand a recognized entity? Is it confused with others?
02
Wikidata Entity Creation & Enrichment
Compliant, verifiable Wikidata entity creation — with proper statements, claims, external identifiers, and relation links to adjacent entities in your knowledge graph.
03
Schema.org Implementation
Comprehensive Schema.org markup across your website: Organization, BreadcrumbList, FAQPage, SpeakableSpecification, and entity-specific types aligned to your business model.
04
Google Knowledge Panel Claim
Claiming and optimizing your Knowledge Panel — adding accurate attributes, verifying business details, and ensuring consistent entity signals across the web.
05
Relation Graph Building
Connecting your entity to adjacent entities: industry categories, key personnel, geographic locations, and partner organizations — to build a rich, machine-readable entity graph.
06
Entity Signal Monitoring
Ongoing monitoring of how your entity appears in structured data sources, with alerts for drift, factual inaccuracies, or new entity conflicts.
Platforms & surfaces

Where entity authority is built.

Google Knowledge Graph
Powers Google's entity understanding for Search, AI Overviews, and Assistant.
Wikidata
Structured, machine-readable knowledge base used in training data for most major LLMs.
Schema.org
The web's shared vocabulary for structured data. Read by every major crawler and AI system.
Bing Entity Graph
Microsoft's entity layer, powering Copilot's factual understanding and knowledge display.
Related services

Build the full stack.

LCV
LLM Citation & Training Visibility
Place your brand in the training corpora that feed entity knowledge into LLMs.
GEO
Generative Engine Optimization
Translate entity authority into active citation across deployed AI platforms.
TAS
Technical AI Schema
Build the technical schema implementation that connects your site to the entity graph.
Get started

Ready to become a first-class entity?

We start with an Entity Disambiguation Audit — a precise read of your current entity status across every major structured data source.

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