How do you measure progress during reputation recovery?

Recovery measurement runs on data, not intuition. Six tracks run in parallel, and together they show whether the program is producing durable change or only surface movement.

The six measurement tracks

Search rank trends

Priority terms, executive names, company name, and main topics, tracked daily through IMPACT™. A daily cadence means any backsliding shows up 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 weighting more or less heavily over time.

Source-quality metrics

The authority signals of content added to the engines’ source pool, measured against the content it displaces. When higher-authority sources replace lower-authority ones, durable narrative change usually follows.

Wikipedia article stability

Whether the article holds the recovered framing or is being edited back 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

Position in the category relative to defined competitors. This is often more useful for decisions than absolute numbers, because it shows whether the recovery is outpacing the competitive baseline or just keeping pace.

Stakeholder feedback

Qualitative input from investors, customers, recruits, and journalists who deal with the brand. It fills in the perceptual gaps the data tracks miss.

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 pulls all six tracks into one trajectory view, so the client sees the progression instead of guessing at it.