Why it matters

The web describes your brand thousands of times, differently each time: with and without “Ltd”, with old logos, with misspelled names, in different languages. Machines must decide these are one entity. When resolution fails, your brand’s signals are split across phantom entities — each too weak to be cited with confidence.

How it relates to GEO

Entity resolution is the mechanism behind entity optimisation. GEO work makes resolution easy: consistent identifiers, canonical naming, Wikidata links and schema that declares “these mentions are this entity”.

Practical implications

Audit how your brand appears across properties — directories, press, reviews, social. Consolidate naming and identifiers. Where platforms let you claim or verify a profile, do it; verified profiles give resolvers strong anchor points.

Examples

A restaurant chain is listed in 14 directories under three name variants and two addresses. Review platforms and directories treat the variants as separate entities, splitting reviews and weakening the brand. After consolidating listings and claiming profiles, the chain resolves to a single entity with stronger aggregate signals.

Entity resolution builds the knowledge graph representation that answer engines use; see our knowledge graph optimisation service.

Frequently asked questions

Can I force engines to merge entities? You cannot merge them directly, but consistent signals across properties make correct resolution overwhelmingly likely.

How long does resolution take? Weeks to months, as engines re-crawl and re-index the corrected signals.