AI Brand Monitoring that tracks how AI talks about you

AI brand monitoring is the ongoing practice of tracking how often, where, and how favorably AI answer engines like ChatGPT, Perplexity, Gemini, Google AI Overviews and Microsoft Copilot mention or cite your brand when people ask them questions in your category. Unlike a one-off audit, monitoring runs on a schedule so you watch your mention rate, sentiment, and competitor share of voice move over time, and get alerted the moment your standing changes. It is the reputation layer for the channel where a growing share of buyers now form their first impression of you.

Social listening tools like Brandwatch or Mention watch what humans say about you on social platforms, forums, and news. AI brand monitoring watches what the AI assistants themselves say about you when a buyer asks a question. These are different surfaces with different stakes: a social tool can tell you a customer complained on X, but it cannot tell you that ChatGPT now describes you as the runner-up while recommending a competitor by name. Buyers increasingly ask an AI before they ask their network, so the AI answer is often the first reputation touchpoint, and traditional listening tools are blind to it.

Because AI answers drift. Models get updated, your competitors publish new content that earns citations, review sites change, and the same question can return a different answer week to week. A single check is a snapshot that goes stale fast. Continuous monitoring catches the moment your mention rate drops or a rival overtakes you, which is exactly when a fix is cheap. Find out in a quarterly review instead, and you have lost a quarter of being framed badly or left out of the answer entirely.

Five: ChatGPT (through OpenAI web search), Perplexity, Gemini, Google AI Overviews, and Microsoft Copilot (through Bing Copilot Search). Your brand can be the recommended pick on one engine and invisible on another, because citation behavior differs sharply between assistants. Monitoring all five separately is the only way to see your true reputation picture rather than a misleading read from whichever assistant you happened to check.

For each monitored prompt it parses the engine's response not just for whether your brand appears, but for how it is framed: recommended, neutrally listed, qualified with a caveat, or characterized negatively. It tracks that framing across runs so you see sentiment as a trend rather than a one-time impression. A brand can hold a steady mention rate while its framing quietly slides from 'the leader' to 'a cheaper alternative,' and that drift is precisely what monitoring is built to catch early.

Yes. Paid plans run on a schedule and alert you when something meaningful moves: your mention rate drops, sentiment turns negative on an engine, a competitor overtakes you on a prompt you used to win, or your share of voice in the category falls. Each alert points at the specific engine and prompt so you are not hunting for what changed. Reputation problems compound, so catching the shift in days rather than months is the difference between a quick correction and a dug-in narrative.

Yes. The instant baseline needs no signup and no card: enter a domain and get a real read across all five engines, your per-engine mention and sentiment breakdown, and your top competitor. The paid plans add the continuous part, the actual monitoring, with scheduled re-checks, repeated-sampling precision, tracked prompts, sentiment history, alerts, and the full prescriptive fix list.

Rank trackers monitor where you sit in Google's blue links. AI brand monitoring tracks whether AI answer engines actually mention, cite, or recommend you inside the generated answer, and how they frame you when they do. They are different channels. Onely found that roughly 73% of brands get zero AI mentions despite ranking on Google page one, so a strong rank tells you nothing about your AI reputation, and a rank tracker will never alert you that an assistant started recommending a competitor over you.

Make your brand easy for AI to crawl, quote, and frame correctly: allow the AI crawlers in robots.txt, lead each section with a direct 40 to 80 word answer, back claims with named statistics and sources, use question-style headings, add schema, and publish an llms.txt. To shift sentiment specifically, earn citations on the third-party sources the engines actually trust in your category, since those sources often set the framing. The monitor shows the exact pages, sources, and prompts driving how each engine talks about you, so you fix the narrative at its root instead of guessing.

Yes. The Agency plan gives you ten client workspaces, all five engines, two hundred tracked prompts, branded PDF reports, API access, and per-client seats, so you can run AI brand monitoring for a whole roster of clients under your own brand and report on each one's reputation trend, sentiment, and competitor share of voice separately.