What is the difference between entity optimization for people vs companies?
Person and company entity optimization follow the same logic but use different signal sets: person work leans on a Person-schema bio site, LinkedIn, authoritative bio citations, and Wikipedia where notable, while company work leans on Organization schema, an accurate Wikidata entry, Wikipedia where notable, and business references like Crunchbase. People need bio consistency and disambiguation; companies need Wikidata and business-directory work.
Entity optimization for a person and for a company share the same logic but draw on different signal sets, so the work is sequenced differently. The goal in both cases is identical, high entity confidence and accurate resolution, but the checklist differs, and we scope the entity layer to the kind of entity we are building.
Person vs. company: where the anchors differ
| Signal area | Person anchors | Company anchors |
|---|---|---|
| Owned site & schema | A bio site marked up with Person schema |
The corporate site marked up with Organization schema |
| Primary profile | A complete LinkedIn profile | An accurate Wikidata entry |
| Authoritative references | Bio citations across press and association content | Business references such as Crunchbase and Bloomberg |
| Wikipedia | Where genuinely notable | Where genuinely notable |
| Consistency & linking | sameAs links tying profiles together; consistent bio across every credible reference |
Consistent corporate descriptions across directories and press |
What changes in practice
- People more often need bio consistency and disambiguation, since individuals get split or confused across references easily.
- Companies more often need Wikidata and structured business-directory work to anchor the entity.
In both cases the objective is the same, high entity confidence and accurate resolution, but the specific signals we build, and the order we build them in, follow the kind of entity involved.
Last reviewed: 20/05/2026
