Being mentioned is only good news if the tone is warm and the facts are true. Brand Sentiment scores how positively each engine portrays you, tracks that score over time, and flags the moment it sours. Alongside it, Accuracy Monitoring catches outdated, false, or unflattering claims before a buyer reads them.
No credit card required. Your sentiment read in about a minute.
The number of mentions can hold steady while the story behind them quietly turns against you. The tone drifts cool over months with no alert. The facts go stale or wrong — old pricing, a feature you dropped, a claim that was never true — and the model states all of it with the same confidence as the truth.
Sentiment rarely collapses overnight. It cools gradually, one hedge at a time, and by the time it shows up in your pipeline the narrative has already set in the models.
You publish, you do PR, you ship proof. Without a tone score tracked over time, you can only see whether AI mentions you more, never whether it speaks about you better.
Engines repeat outdated and false claims about you in a calm, authoritative voice. Buyers cannot tell, and unless something is checking, neither can you.
Track not just how often AI mentions you, but how warmly and how accurately, over time, so you catch a cold turn or a wrong fact while you can still fix it.
Every answer we capture is read for two questions in the same pass: how does it feel about you, and is what it says actually correct? Both run through the steps below, then get measured against your history and your verified facts.
Take the full answer as written.
Keep only what is said about you, not rivals.
Score the tone, and check each claim for accuracy.
Against your history and your verified profile.
Raise a souring trend or a wrong claim.
The same read answers two questions: how you are felt about, and whether it is true.
Brand sentiment in AI answers is rarely a thumbs up or a thumbs down. It hides in qualified, comparative language: "popular but pricey," "powerful, though the setup is steep," "a safe choice if you can afford it." Faint praise is not praise. So we score tone for your brand specifically, separating how an answer feels about you from how it feels about the competitor named in the same sentence, and we weigh the hedges and the comparisons instead of scanning for happy words.
Accuracy needs the opposite of mood. It needs ground truth. So we keep a verified profile of your brand — your current pricing, features, certifications, leadership and key dates — and check every claim an engine makes against it. The subtle cases are not the obvious errors. They are the claims that used to be true, and now quietly mislead.
Most sentiment tools look for positive and negative words and call it a day. AI answers do not cooperate. They lean on qualifiers, trade-offs, and comparisons — the language of a careful recommendation rather than a review. "Solid but expensive" is not a compliment, and treating it like one would flatter your dashboard and mislead you.
We place each mention of your brand on a scale from cold to warm, accounting for the hedges around it, so the score reflects how a real buyer would read the line.
Because the same prompt returns slightly different replies every time, one cold answer is not a trend. If you reacted to every wobble you would never sleep. So we sample repeatedly, smooth the score, and compare run over run — which means a flag only fires when the underlying tone has truly moved.
That is what lets you catch a souring story while it is still small, and just as useful, confirm that a piece of content or a PR push actually warmed the tone rather than hoping it did.
To know a claim is wrong, you have to know what is true. GrackerAI keeps a verified profile of your brand and checks every statement an engine makes against it. Matches pass quietly. Mismatches get sorted into the kind of problem they are, because they call for different responses.
An outdated claim was once correct and needs refreshing. An inaccurate one was never true and needs correcting. An unflattering one may be accurate but damaging, and needs a decision. Each is flagged with the exact wording, the correct version, and where it appeared.
Was once correct. Needs refreshing with the current fact.
Was never true. Needs correcting at the source.
May be accurate but damaging. Needs a strategic decision.
| Mention or basic sentiment tools | Brand Sentiment |
|---|---|
| Counts how often you appear | Scores how warmly you are described |
| Reads happy and sad words | Weighs hedges, trade-offs and comparisons |
| Blends your tone with competitors' | Scores your brand on its own |
| Reacts to every noisy reply | Flags only a real, smoothed shift |
| Assumes the claims are true | Checks every claim against verified facts |
| Cannot spot an outdated fact | Separates outdated, inaccurate and unflattering |
Two jobs that move from reacting late to catching things early.
"AI-optimized content positioned us as experts in our niche. The results have been game changing."
Reputation in AI search is not only about being seen. It is about being seen well, and being seen correctly. With both tracked over time, you catch the cold turns and the wrong facts while they are still cheap to fix.
See the specific qualities AI ties to you, like secure or enterprise, alongside the tone and accuracy of how it says them.
The answers behind every sentiment score and accuracy flag come from monitoring across all eight engines.
Turn a cold tone or a wrong claim into the published proof that teaches the models a better, truer story.
Discover your AI visibility gaps and start capturing millions of new product discovery clicks.
