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 is 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 forecast reputation trends and risks?

  Forecasting reputation means 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; leading indicators (news-cycle markers, social velocity, regulatory direction, shifts in how engines source) point to what may be coming. Scenario planning turns that read into responses prepared in advance.

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• How do you quantify the business impact of poor online reputation?

  Quantify it by connecting the reputation problem to the business signals it plausibly degrades: pipeline velocity, recruiting-funnel quality, customer-acquisition cost, investor-relations meeting tone, and crisis durability. Then correlate movement in those signals with changes in the reputation metrics. Reputation is one input among many, so the case rests on correlation, lagged effects, and stakeholder feedback rather than a clean causal formula.

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• How do you measure online reputation?

  Online reputation is measured across four layers that feed each other: search composition (what ranks on priority branded queries), AI narrative (what the leading AI engines say, with what sentiment, and how it compares to peers), authoritative entity references (Wikipedia and the Knowledge Panel), and qualitative stakeholder feedback. Read them as one picture rather than four separate dashboards; that is what gives an accurate read on how an entity is perceived.

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• What KPIs should a brand be tracking for AI-era reputation health?

  Five KPIs cover AI-era reputation health: AI sentiment, AI source quality, AI peer comparison, AI accuracy and AI narrative drift. Measure each one separately for every engine, because ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, and Google's AI Overviews and AI Mode answer the same question differently.

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