How do you handle negative search results caused by someone with the same name?
Same-name negative results require entity-disambiguation signals - Person schema with distinct biographical anchors, authoritative content, sameAs links to verified profiles - so search and AI separate the client from the other person.
When a client shares a name with someone whose digital footprint includes negative content, the reputation problem is identity collision rather than reputation damage. The other person is being conflated with the client in search and AI responses. The work is entity disambiguation through deliberate signal-building. Apply Person schema across the client’s owned properties with distinct biographical anchors the other person does not share – date of birth, employer, education, location, professional affiliations. Build sameAs links from the client’s verified profiles (LinkedIn, employer page, association directories, Wikipedia if applicable) so the engines have a clear identity graph for the right person. Produce authoritative content tying the client’s name to current activities and affiliations the other figure does not share. Monitor through AIQ™ to catch AI engine conflation early. Over months the engines learn the disambiguation, and the SERP and AI narrative resolve to the correct entity.
Last reviewed: 19/05/2026