Neutral sentiment share of AI mentions
also called Neutral Sentiment %
Definition
The share of answer-engine mentions of your brand classified neutral 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 neutral
Data sources
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
- "What share of AI mentions are neutral?" 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 neutral 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.
Canon flags the Represented rung as only partly instrumented.
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
- Charting the aggregate series and reading its flat zero line as a real neutral share.
- Using positive, neutral and negative together as a complete distribution when only positive is measured on the aggregate leg.
Not the same as
The confusions that cause the most wrong decisions.
Neutral sentiment share of AI mentions Positive sentiment share of AI mentions Compare definitions →
The positive share is read from a measured semantic-layer field on both legs; this one is measured on the per-engine leg and hardcoded to zero on the aggregate leg, so the two are not comparable parts of one distribution.
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.