What is Five Blocks’ AI reputation methodology?

Our AI reputation methodology is the same Track / Analyze / Impact framework we built for the Google era, applied to the AI layer. The Track phase uses AIQ™ to capture what each of eight engines is actually saying about the client and named peers, the sources each engine is citing, the sentiment and themes, and the trajectory over time. The Analyze phase identifies the leverage points: which sources are driving which framings, where the engines diverge from each other, where peer comparisons reveal opportunity, and which interventions will most efficiently move the picture. The Impact phase executes at the source layer – Wikipedia, Wikidata, owned content, authoritative third-party coverage, structured entity signals – because that is the layer the engines actually read. Direct prompt-level interventions do not work and are not part of the methodology.