How do you compare your AI reputation to competitors?

Comparing your AI reputation to competitors is only meaningful when the comparison is controlled. The trap is casual comparison: glancing at what one engine said about you today against what a different engine said about a rival last month, and treating the gap as a real difference. It usually isn’t. Different prompts produce different answers, different engines weight sources differently, and different time windows catch different versions of the picture, so an uncontrolled comparison measures the method as much as the companies.

Where casual comparison goes wrong

• Different prompts, reword the question and the engine surfaces different brands and framings; a rival that looks absent may simply not match the phrasing you used for yourself.
• Different engines, each engine weights and cites sources differently, so a brand that leads on one can trail on another for reasons unrelated to its actual reputation.
• Different time windows: AI narratives shift as sources update, so comparing this month’s answer about you against last quarter’s about a peer compares two different moments.

Hold the prompt set, the engine set, and the time window constant across your brand and every named peer, and the differences that remain are signal rather than noise.

What a controlled comparison reveals

Once the conditions are constant, the same analytical lens applied to each brand makes the comparison genuinely diagnostic:

• Sentiment, where one brand’s coverage skews more favorably or more critically than another’s.
• Theme distribution, where each brand is winning or losing the narrative framing for the category.
• Source citations, which sources each brand depends on most, and which a competitor relies on that you don’t.
• Prominence, which brands the engines name first when asked a neutral question about the category.

Running it consistently

AIQ runs peer comparisons within its standard configuration, applying the same prompts across the same AI engines: ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode, so the discipline is built into the setup rather than reconstructed by hand each time. That consistency is what separates a comparison you can act on from one that just looks like data.