How do you measure the success of a reputation management campaign?

Reputation measurement starts with goals set at the engagement’s start, because the same SERP can look successful or unsuccessful depending on what the program was trying to achieve. Standard metrics across most programs: branded SERP composition for priority queries (owned, earned, third-party, hostile share), Knowledge Panel accuracy and completeness, AI narrative quality across the eight engines AIQ™ tracks (sentiment, source attribution, theme coverage), peer share-of-voice for the named peer set, Wikipedia article health (Talk-page activity, edit revert ratio, accuracy), and qualitative stakeholder signals (what investors, journalists, candidates are saying in their actual interactions). The combination produces a clearer picture than any single metric. Monthly reporting walks through each metric against the agreed goals. The work that does not show up in metrics – source-level remediation, entity-layer engineering, Talk-page edits – is the work that produces durable change, so the reporting includes both inputs and outputs.