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How do you measure progress during reputation recovery?

Quick answer

Progress during reputation recovery is measured across six tracks: search rank trends for priority terms (tracked daily through IMPACT), AI sentiment and source shifts across the eight engines AIQ currently tracks (monitored daily through AIQ), source-quality metrics on added versus displaced content, Wikipedia article stability, share of voice against named peers, and qualitative stakeholder feedback. The combination makes recovery measurable rather than aspirational.

Recovery measurement is structured and uses real data rather than intuition. Six distinct tracks run in parallel; together they show whether the program is producing durable change or merely surface movement.

Dashboard-style infographic titled 'Six tracks that make reputation recovery measurable'.
The six measurement tracks that quantify reputation recovery: (1) Search rank trends tracked daily by IMPACT™ across priority terms; (2) AI sentiment and source shifts tracked daily by AIQ™ across eight engines (ChatGPT, Copilot, Gemini, AI Overview, Perplexity, Grok, Claude, Google AI Mode); (3) Source-quality metrics comparing authority of content added versus displaced; (4) Wikipedia article stability monitored in real time by WikiAlerts™; (5) Share of voice against named peers reviewed monthly; (6) Stakeholder feedback from investors, customers, recruits, and journalists on a client-set cadence. Bar fills and illustrative percentages are layout placeholders — no specific client values are asserted.

The six measurement tracks

Search rank trends
Priority terms, executive names, company name, key topics, tracked daily through IMPACT™. Daily cadence means any backsliding is visible within hours, not at the next monthly review.
AI sentiment and source shifts
The narrative across the eight AI engines AIQ currently tracks: ChatGPT, Copilot, Gemini, AI Overview, Perplexity, Grok, Claude, and Google AI Mode, monitored through AIQ. This shows whether the AI narrative is moving and which sources the engines are increasing or decreasing weight on over time.
Source-quality metrics
The authority signals of content being added to the engines’ source pool, measured relative to the content being displaced. Higher-authority sources replacing lower-authority ones is a leading indicator of durable narrative change.
Wikipedia article stability
Whether the article is holding the recovered framing or being edited toward contested content. Monitored via WikiAlerts™, which tracks edits in real time and flags changes that reintroduce disputed material.
Share of voice against named peers
Relative position in the category compared to defined competitors. Often more decision-useful than absolute metrics, because it shows whether the recovery is outpacing the competitive baseline or merely keeping pace.
Stakeholder feedback
Qualitative input from investors, customers, recruits, and journalists who interact with the brand. Rounds out the quantitative picture and surfaces perceptual gaps that the data tracks may not capture.

How the tracks are reviewed

Search and AI tracks run daily; source-quality, Wikipedia, and share-of-voice are reviewed monthly; stakeholder feedback is gathered on a cadence set with the client. Monthly reporting synthesizes all six tracks into a trajectory view so the client sees the progression rather than guessing at it.

Last reviewed: 19/05/2026

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