Catch what AI says about you, before your customers do

Yes, and that is most of the point. Each scored mention shows the passage that produced the score, in the engine's own words, so you read the sentence that is damaging you rather than a red dot. That usually points straight at the cause: a stale pricing page, a critical review being cited, or a support complaint that has become your category's shorthand for your product. Every passage links back to the full stored answer it came from.

Each answer that names you is scored on the language used to describe you, positive, neutral or negative, and the source passage is kept alongside the score so the judgement can be checked. Per-answer sentiment is included on every plan, as is the reputation dashboard that turns those scores into a net score, a trend line and a set of excerpts. Scores are model judgements on text, so read the passage before acting on any single one.

Sentiment is tracked separately for each engine your plan covers, and the difference between them frequently matters: the same brand can read positively on one engine and carry a caveat on another, because they draw on different sources. Starter covers three engines, Professional five, Enterprise all seven. A narrative that appears on one engine and not the others usually means a single source is doing the damage, which is a far easier problem to fix.

Yes. Notifications and a weekly email digest are included on every plan, flagging sentiment shifts alongside visibility drops and new citations. Because AI answers vary between runs, treat a single day's dip as noise and act on a shift that persists across days or shows up on more than one engine. For a sensitive period, the digest plus the passage-level view is the combination most teams watch.

Trace it and correct the source, because the engine is repeating something rather than inventing it. The passage view tells you what is being said, and citation and off-site tracking tell you where it came from, whether that is a review site, a Reddit thread or an outdated page of your own. Correcting your own pages is fastest; earning a better-cited source takes longer. Then keep watching, since engines reflect a change only once they re-crawl it.

Social listening tells you what people are posting. This tells you what an assistant says to a buyer who asks about you, which is a much smaller set of sources with far more influence over a shortlist. A thread with fifty upvotes may never be cited, while one that is cited across engines shapes every answer. We work backwards from the answers rather than monitoring the whole internet, so what you see is already affecting recommendations.