Entity SEO for AI search: how do you make your company understandable?

What to look at first

AI systems need a stable picture of the business before they can confidently cite it.

• Use consistent names and descriptions.
• Connect founders, offices, services, and cases.
• Add Organization and Service schema.
• Link from trusted external profiles.

What the result should be

Strong entity signals help AI systems connect the brand with the problems it solves.

Start with a simple map of business entities

List the things search systems need to distinguish: organisation, trading name, founders, team, offices, services, products, cases and areas of expertise. Give each entity a preferred name, concise description and dedicated URL. Record relationships, such as which company owns a brand and which office provides a service. This map prevents templates and profiles from telling conflicting stories.

• Company and any parent organisation.
• Brands, products and separate websites.
• People with public roles or authorship.
• Real offices and serviced regions.
• Services, sectors, cases and knowledge topics.

Keep identity consistent without duplicating every sentence

Consistency does not require identical biographies everywhere. Names, roles, addresses and ownership must agree while descriptions suit their context. Update important profiles when a brand, office or position changes. Link controlled authoritative profiles through sameAs and avoid unmanaged directory pages. Stable facts make it easier to distinguish the company from similarly named entities.

• Fixed spelling of brand and personal names.
• Clear relationship between AI JOB TEAM and Making Moves Group.
• Current LinkedIn and relevant product profiles.
• Consistent office and contact details.
• No conflicting founding, team or service claims.

Build structured data as a connected graph

Avoid isolated schema objects that have no relationship across pages. Give Organization, Person, LocalBusiness, Service, Article and WebPage stable @id values and connect author, publisher, provider, location and mainEntity. Visible content remains authoritative. Add a property only when its meaning fits and the fact is available on the page or another dependable source. Validate semantics as well as syntax.

• Stable canonical @id for every important entity.
• Article connected to real author and publisher.
• Service linked to provider and valid area served.
• Office linked to the main organisation.
• Breadcrumb and WebPage surrounding the main content.

Strengthen topic relationships through architecture

A company does not become an AI authority by repeating the term. Create a clear hub for each core subject with definitions, buying questions, implementation guides and evidence. Link articles to relevant services and cases, and commercial pages back to useful guidance. Use anchor text that states the relationship. The result is a verifiable network around problems the business genuinely solves.

• One primary hub per core topic.
• Supporting articles for different search intentions.
• Cases as evidence of delivery capability.
• Authors and organisation connected to appropriate themes.
• No links added solely for keyword variation.

Check whether systems recognise the right organisation

Do not measure entity SEO only with schema testing tools. Search combinations of brand, founder, service and location and inspect which pages appear. Compare business listings and test how AI assistants describe the company, including citations. Record confusion with namesakes, stale addresses or incorrect ownership and correct primary sources first. External systems need time to recrawl and reconcile signals.

• Branded results and sitelinks.
• Business or knowledge information where shown.
• AI answers to brand, service and location questions.
• External sources repeating incorrect facts.
• Log of correction, crawl and observed outcome.