What to Measure
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What are the most important KPIs for a reputation management program?
Branded query share of voice, page-one composition, AI narrative sentiment and accuracy, Knowledge Panel status, Wikipedia stability, peer benchmarks, and qualitative stakeholder signals - tracked against a baseline.
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How do you forecast reputation trends and risks?
By tracking trailing indicators like sentiment and source quality, monitoring leading indicators like news-cycle and regulatory signals, and building scenario plans for the events that monitoring suggests are plausible.
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How do you measure online reputation?
Through search composition on priority queries, AI narrative analysis across the engines, Wikipedia and Knowledge Panel status, and qualitative stakeholder feedback - read together rather than as one number.
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How do you quantify the business impact of poor online reputation?
Through pipeline-velocity changes, recruiting-funnel quality shifts, customer-acquisition cost movement, IR meeting tone, and crisis durability - correlated with changes in the reputation metrics.
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What KPIs should a brand be tracking for AI-era reputation health?
AI sentiment per model, AI source quality, AI peer comparison, AI accuracy, and AI narrative drift - tracked separately for each engine, since they diverge.
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