Negative sentiment share of AI mentions
also called Negative Sentiment %
Definition
The share of answer-engine mentions of your brand classified negative in tone, per answer engine.
Scope, grain and dimensions
- Grain
- One answer engine and time bucket for one tracked segment.
- Dimensions
- answer engine · time bucket · intent · branded vs non-branded
- Required filters
- tracker (unified segment id) · date range
- Metric type
- rate · percent of mentions classified negative
Data sources
Where you'll see this
Named reports that normally include this metric.
Skills and analyses that use it
Skills carry the judgment; the analysis verbs do the reading.
Skills
Analysis verbs
ai_visibility_trend
Method rungs and levers
A rung tells you what a movement here can and cannot explain, read the rungs below it first.
levers L7 AI-answer visibility
Ask Quattr
- "Are AI answers describing us negatively?" Simulate this →
Caveats, freshness and failure modes
Read this per engine. Cross-engine aggregate views do not measure it, a zero at the aggregate level means not measured, not an absence of negative coverage.
That aggregate series is only built for the all-metrics chart view with no platform selected. Every per-engine series reads a real measure, so the same field is measured on one leg of the same verb and fabricated on the other.
The per-competitor breakdown returns it as empty rather than zero, which is the honest shape the aggregate series does not use.
Every figure is scoped to a tracked prompt basket, a sample, not a census, so the basket's coverage belongs beside the number it produced.
- Freshness
- ~1 day behind, Daily prompt runs, available the following day.
Common failure modes
- Reporting a clean negative-sentiment record from an aggregate chart whose zeros were assigned in code.
- Escalating on a negative share computed as the remainder of the positive share.
- Comparing an aggregate-series value against a per-engine value as if both were measured.
Not the same as
The confusions that cause the most wrong decisions.
Negative sentiment share of AI mentions Positive sentiment share of AI mentions Compare definitions →
Not complements. The positive share is a measured semantic-layer field; the negative share is unmeasured on the aggregate leg, so one cannot be derived from the other.
Related metrics and workflows
Verification
A definition is the smallest part of this.
The measurement matters because something acts on it. Here is the rest of the showcase, in the order most people find useful.