What is AI reputation management?
AI reputation management is the work of monitoring, diagnosing, and influencing what AI answer engines say about a brand or person. It is the comms discipline for the era when ChatGPT and Gemini answer the question before a user clicks a link.
AI reputation management is what corporate communications looks like when the AI engines, not the search results, are the first thing a journalist, investor, candidate, or customer reads about your company. The work has three parts. First, monitoring: tracking what ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode are actually saying, which sources they are citing, and how that picture is moving over time. Second, diagnosis: identifying which sources (a Wikipedia paragraph, a contested 2019 article, a thin page on your own site, a Reddit thread) are driving the parts of the narrative that matter, and where the leverage sits. Third, intervention: you can’t fix what an engine says by prompting it or telling it it’s wrong, because the engine doesn’t remember what you tell it and rebuilds every answer fresh from the sources it trusts. So the durable fix is to improve those sources the engines rely on most. We built AIQ to support the monitoring and diagnosis, and from there the fix is hands-on work on the sources themselves. It’s one part of the broader reputation work we do across search, Wikipedia, and the media.
Last reviewed: 19/05/2026