What is entity resolution and why does it matter for reputation?

Entity resolution is how Google and the AI engines determine that a scatter of references – a LinkedIn profile, a Wikipedia article, a press mention, a directory listing – all refer to the same person or organization. It matters enormously for reputation because resolution is what turns disconnected mentions into a coherent, recognized entity. When resolution succeeds, the systems aggregate everything they know into one confident profile; when it fails, the same person can be split into two half-formed entities, or merged with a namesake, and the resulting Knowledge Panel and AI answers are wrong or thin. Reliable resolution depends on three things: sameAs structured links that explicitly connect the canonical entity home to its other authoritative profiles, consistent attributes (name, role, description) across those references, and strong authoritative anchors like Wikipedia and Wikidata. We build these deliberately, because most entity problems we diagnose are resolution failures – the right signals exist but the systems cannot confidently tie them together.