What to Measure

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• What are the most important KPIs for a reputation management program?

  A reputation management program is typically measured against seven core KPIs, branded query share of voice, page-one composition, AI narrative sentiment and accuracy, Knowledge Panel status, Wikipedia stability, peer benchmarks, and qualitative stakeholder signals, each tracked against a baseline so movement is visible over time. The discipline is choosing metrics that reflect actual perception, not activity counts.

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• How do you track SERP movement over time?

  You track SERP movement with continuous, structured monitoring rather than periodic manual checks: record every ranking URL for the priority queries on a regular cadence - ideally daily - across the relevant geographies and languages, then read the trend lines over weeks and months. Five Blocks runs this with IMPACT™.

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• How do you forecast reputation trends and risks?

  You forecast reputation by reading two kinds of signals and planning against them: trailing indicators (sentiment, share of branded queries, the source quality AI engines draw on) show where things have been heading, while leading indicators (news-cycle markers, social velocity, regulatory direction, shifts in how engines source) hint at what may be coming. Scenario planning turns that read into prepared responses. It is disciplined preparation, not prediction.

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