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

The KPIs that matter for a reputation program are the ones that measure how the entity is actually perceived across the layers that shape perception. Each should be tracked against a baseline established at the start of the engagement, so movement, not just a point-in-time reading, is what the program is judged by.

Branded query share of voice

For the priority branded search queries, what share of the visible result set is occupied by the entity’s own and aligned content, versus competitors, hostile sources, or unrelated material? Share of voice is the headline measure of control over the branded result set and the natural starting point for any program.

Page-one composition

Beyond share, what is the quality of what ranks? Page-one composition tracks the sentiment (positive, neutral, negative) and source quality of every URL holding a position for the priority queries. A result set dominated by high-authority, positive sources looks very different from one where neutral or negative mid-authority content fills the visible positions. Tracked over time, composition shows whether the program is moving the page in the right direction. Monitored via IMPACT™.

AI narrative sentiment and accuracy, per engine

What do ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode say about the entity, with what sentiment, what accuracy, and drawn from which sources? Perception increasingly forms in the AI layer, so the narrative each engine returns is a distinct KPI rather than a summary. Monitored via AIQ™.

Knowledge Panel status

Does a Knowledge Panel exist for the entity, and is the information it displays accurate and complete, correct description, category, key facts, and associated imagery? The Knowledge Panel is a high-visibility, high-authority surface that stakeholders encounter at the top of a branded search; an absent or inaccurate panel is both a reputation gap and an entity-signal problem.

Wikipedia stability score

Is the Wikipedia article present, accurate, well-sourced, and stable? Wikipedia feeds the Knowledge Panel and is one of the sources AI engines draw on most heavily, so its health has compounding effects across both layers. Stability, the absence of contested edits, unsourced claims, or accuracy disputes, is tracked alongside article quality and completeness. Monitored via WikiAlerts™.

Peer benchmark comparison

How does the entity’s reputation posture compare with direct peers or competitors across the same KPIs? Reputation is inherently relative: a strong share-of-voice score means little if peers all score higher, and a modest score may be adequate if the competitive set is similarly positioned. Peer benchmarks provide the context that absolute numbers cannot.

Qualitative stakeholder signals

What are investors, customers, recruits, partners, and media contacts actually saying about what they found online? Quantitative metrics capture what ranks and what AI says; qualitative signals capture whether those outputs are reaching stakeholders and influencing behavior. Formal and informal feedback through these channels is the ground-truth check on the data, and is the KPI category most directly tied to business outcomes.

The discipline in choosing KPIs is to measure perception and outcomes, not inputs and activity. A program that reports on pages published or edits made without tying them to how the entity is actually seen by stakeholders is measuring effort rather than reputation. We track these seven KPIs with IMPACT™, AIQ™, and WikiAlerts™ against a baseline agreed at the start, so the program is judged by where the entity stands, not by how much was produced.