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Entity and Knowledge Graph Engineering

$1,500 - $15,000

Engineer a machine-readable identity system that defines how AI systems understand, contextualize, and reference your brand. This service delivers a complete entity and knowledge graph foundation including entity inventory & canonicalization, relationship modeling & hierarchy design, knowledge framework & defined-term engineering, schema graph architecture & encoding, internal cross-page reinforcement, and external authority alignment to ensure durable, unambiguous interpretation across AI-powered discovery environments.
Local / Start-Up Entity & Knowledge Graph Engineering $1,500
Small Business Entity & Knowledge Graph Engineering $3,500
Medium-Sized Business Entity & Knowledge Graph Engineering $6,500
Corporate Entity & Knowledge Graph Engineering $10,500
Enterprise Entity & Knowledge Graph Engineering $15,000







FAQs

What is Entity & Knowledge Graph Engineering?

Entity & Knowledge Graph Engineering is the process of defining, structuring, and connecting entities so search engines and AI systems can accurately understand your brand, offerings, relationships, and topical authority.

Why does this matter for AI and search engines?

Modern search engines and generative AI rely on entities—not just keywords. Proper entity modeling enables eligibility for knowledge panels, AI citations, rich answers, and consistent representation across search surfaces.

What entities do you build and connect?

We model core business entities such as organizations, services, products, people, locations, concepts, and supporting topical entities—then connect them using structured data, internal relationships, and authoritative signals.

Does this include schema and structured data?

Yes. We implement validated schema markup to express entity relationships, attributes, and context—ensuring alignment between your website, knowledge graph, and external data sources.

What is delivered at the end of this service?

You receive a fully engineered entity framework, validated structured data, documented relationships, and an AI-ready knowledge foundation that supports search visibility, authority, and citation eligibility.

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