How do you benchmark your AI reputation against competitors?

Peer benchmarking only produces useful data when the methodology holds the prompts and engines constant across the brands being compared. That is the analytical foundation: same prompts, same engines, same time window, run against the brand and each named peer. From there, the analytical layers extract what is comparable: which themes recur for each brand, which sources each engine is weighting for each one, how sentiment differs, how often each brand is mentioned in responses to neutral category prompts (‘what are the leading firms in X’), how the engines describe each brand’s strengths and weaknesses. AIQ™ is built for this kind of comparison and shows it directly. The patterns are diagnostic: a brand consistently outperforming on innovation framing and underperforming on talent narrative tells the program something specific about where to focus. A brand losing on peer comparison prompts but winning on direct prompts has a different problem to solve.