Built as a focused GEO workstream, not a generic SEO add-on.

AI engines build answers from entities, not keywords. When your brand's entity is ambiguous — inconsistent naming, split identities, missing descriptions — engines cannot reliably connect your pages to your organisation, so citations go elsewhere or never happen.

Entity optimisation is the clarity layer of GEO. Before an AI engine will cite you, it must be able to say what you are. That requires your pages, schema, and profiles to present one consistent, unambiguous identity.

Why entities decide citations

AI answer engines retrieve facts through entities. When an engine encounters your product page, it asks: who publishes this? Is this the same company as the one in the knowledge graph? What does this entity offer? If the answers are inconsistent across your pages, the engine discounts the source. Entity optimisation makes those answers consistent by design.

The entity surfaces we fix

  • Organisation identity — one name, one description, one identifier across your site.
  • Product and service entities — each offering identified with type, name, and relationship to the organisation.
  • People entities — authors and experts identified with roles and expertise, supporting E-E-A-T.
  • Location entities — offices and service areas represented consistently, supporting local GEO.
  • Brand variants — old names, abbreviations, and acquisitions reconciled into one identity.

How we verify success

We do not assume the schema is correct. After implementation we test how ChatGPT, Gemini, and Perplexity describe your brand across prompts, then fix the residual ambiguity the tests expose. Entity clarity is measurable: the engine’s description of your organisation should match the identity you declared.

Entity optimisation pairs with Structured Data for GEO (the schema implementation layer), Knowledge Graph Optimisation (the external graph layer), and AI Citation Building (using the clarified entity to earn citations).

From audit to AI visibility improvements

Entity inventory

We document every entity that matters: organisation, products, services, locations, authors, and brand variants.

Consistency audit

We find naming, description, and identity inconsistencies across your pages, profiles, and listings.

On-page entity schema

We implement and correct schema that states each entity's identity, type, and relationships explicitly.

Entity verification

We test how AI engines describe your entities across prompts and fix residual ambiguity.

Deliverables

  • Entity inventory across organisation, products, and people
  • Consistency audit of naming and descriptions
  • Corrected on-page entity schema (Organization, Product, Person)
  • Entity relationship declarations (offers, serves, employs)
  • AI description verification across engines
  • Ongoing entity governance guidelines

Frequently Asked Questions

It is the practice of making your organisation, products, and people clearly identifiable and consistently described so AI engines can attribute information to the right entity.
Entity optimisation focuses on your own pages: on-page schema, consistent naming, and identity clarity. Knowledge graph optimisation focuses on external graph representation such as Wikidata and sameAs connections.
If an AI engine cannot confirm that a page belongs to your organisation, it will not cite it as authoritative. Ambiguity also causes split identities where the engine treats brand variants as different companies.

Start with a free GEO audit.

We'll show you where your brand is missing from AI-generated answers and what to fix first.