Being mentioned is not
the same as being recommended
An AI answer can name your brand and still steer the reader elsewhere. Sentiment analysis scores the tone of each mention so you can see which answers actually help.
Analyse sentiment →What is measured
Tone score from -1 to +1
Each mention is scored, so a lukewarm mention is not counted the same as an enthusiastic one.
Positive, neutral, negative split
See the distribution across all answers instead of one summary number.
The exact sentence
The snippet around your brand is stored, so you can read how it was actually phrased.
Per-platform tone
One engine may describe you warmly while another repeats an old criticism.
Why tone changes the plan
A mention can cost you the sale
"X is cheaper but support is slow" names you and loses you the customer at the same time.
It points at the source
Negative tone usually traces back to a specific review or article the model keeps reading.
It is fixable
Once you know which claim is being repeated, you can publish the counter-evidence the model needs.
Find the answers working against you
Score every mention and see exactly which questions need attention.
Start free →