Google AI Overviews sentiment tracking
Being named in an AI Overview is not automatically good. Sentiment classifies whether Google's summary recommends, hedges or warns about a brand, and keeps the sentence that decided it.
How it renders
Derived from the summary text, with the classifying sentence retained.
Sampling
Classifications are reported as distributions across n, because the same engine will frame the same brand differently between samples.
Gotcha
What the API returns
A single collection call against Google AI Overviews for the sentiment field, sampled n times and returned as one object per prompt.
{
"engine": "google_ai_overviews",
"field": "sentiment",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"sentiment": [
{
"brand": "Nostimates",
"label": "recommended",
"confidence": 0.86,
"distribution": {
"recommended": 0.6,
"neutral": 0.33,
"hedged": 0.07
}
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| brand | string | Brand the classification applies to. |
| label | string | recommended | neutral | hedged | negative. |
| confidence | float | Classifier confidence for this sample. |
| evidence | string | The sentence the label was drawn from. |
| distribution | object | Label shares across the n samples. |
What it costs
Add-on field. Priced per collection at a small multiple of the base credit.
See credit pricing →Google AI Overviews sentiment FAQ
- Can an AI Overview mention hurt a brand?
- Yes — appearing as the counter-example in a comparison summary is a mention that costs you. Sentiment separates that from a recommendation.
- How is sentiment verified?
- Every label carries the evidence sentence, so your team can audit any classification in the export.
Find out how Google is describing your client
Send a prompt set and we'll return the sentiment distribution with evidence for each label.
Other Google AI Overviews data
Across every engine
Compare how sentiment behaves on every engine we track.
Sentiment across all engines →