Entity SEO is the work of making a business unmistakably identifiable as one thing across its website and the wider web. For AI search, that usually means the organization name, description, people, services, location and external profiles should agree.
Start with the canonical identity
Choose the exact company name and use it consistently in Organization schema, site-name metadata, the footer, LinkedIn, YouTube and important directory profiles. A tagline belongs in the title or description, not in the canonical organization name.
Use structured data to express relationships
Schema.org can connect an Organization to a Person, Service, PostalAddress, WebSite and sameAs profiles. That reduces ambiguity for machines and makes your own assertions easier to parse. It is still self-published data, so treat it as clarity infrastructure rather than proof.
Do not duplicate entity definitions
One complete Organization node is better than three competing ones from a theme, SEO plugin and custom snippet. Duplicate graphs can disagree on the business name, logo or address and create exactly the ambiguity the markup was meant to remove.
sameAs is identity hygiene, not a guaranteed ranking lever
Linking to legitimate external profiles can help disambiguation. There is no public evidence that simply adding a sameAs array causes an AI system to cite or rank a business more often. The profile itself still has to be accurate and useful.
The strongest entity work often happens outside schema
Fix the outdated LinkedIn description. Correct the old YouTube bio. Make sure press coverage and directories use the current business model. Entity consistency is a whole-web problem, not a JSON-LD problem.
See the broader category guide at AI SEO and use the free scan to check whether your site presents one coherent entity.