Perplexity sentiment tracking
Perplexity's habit of grounding each claim in a source means its brand characterisations are usually attributable — sentiment here comes with a citation behind it.
How it renders
Derived from the answer text, with the evidence sentence and its citation 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 Perplexity for the sentiment field, sampled n times and returned as one object per prompt.
{
"engine": "perplexity",
"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 →Perplexity sentiment FAQ
- Whose opinion is Perplexity sentiment?
- Usually the cited source's, restated. We keep the citation with the evidence so you can attribute it correctly.
- Is that more actionable?
- Considerably — it points at a specific page to address rather than an abstract model impression.
Trace Perplexity sentiment back to the page that caused it
Send a prompt set and we'll return sentiment with its supporting citation.
Other Perplexity data
Across every engine
Compare how sentiment behaves on every engine we track.
Sentiment across all engines →