How do you measure online reputation?

Measuring online reputation well means reading several layers together rather than reducing them to a single score. The first layer is search composition – for the priority branded queries, what ranks, in what positions, with what sentiment and source quality, since the page-one picture is what most people actually see. The second is the AI narrative – what ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode say about the entity, with what sentiment, drawing on which sources, and how it compares to peers, since perception increasingly forms there. The third is the state of the authoritative entity references – the Wikipedia article and the Knowledge Panel, whether they exist and whether they are accurate. And the fourth is qualitative stakeholder feedback, since what investors, customers, and recruits report hearing is a real signal the data alone can miss. The discipline is reading these as one connected picture, because a problem in one layer often explains a symptom in another. We track search with IMPACT™, the AI engines with AIQ™, and Wikipedia with WikiAlerts™.