{
  "slug": "ai-neutral-sentiment-rate",
  "name": "Neutral sentiment share of AI mentions",
  "aliases": [
    "Neutral Sentiment %"
  ],
  "definition": "The share of answer-engine mentions of your brand classified neutral in tone, per answer engine.",
  "category": "AI visibility",
  "type": "rate",
  "unit": "percent of mentions classified neutral",
  "direction": "neutral",
  "verification": "review",
  "grain": "One answer engine and time bucket for one tracked segment.",
  "dimensions": [
    "answer engine",
    "time bucket",
    "intent",
    "branded vs non-branded"
  ],
  "requiredFilters": [
    "tracker (unified segment id)",
    "date range"
  ],
  "sources": [
    "ai-visibility"
  ],
  "reports": [],
  "skills": [
    "aeo-audit"
  ],
  "verbs": [
    "ai_visibility_trend"
  ],
  "rungs": [
    "R4"
  ],
  "levers": [
    "L7"
  ],
  "questions": [
    "What share of AI mentions are neutral?"
  ],
  "caveats": [
    "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.",
  "failureModes": [
    "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."
  ],
  "notSameAs": [
    {
      "slug": "ai-positive-sentiment-rate",
      "why": "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": [
    "ai-positive-sentiment-rate",
    "ai-negative-sentiment-rate"
  ],
  "workflows": [],
  "lastVerified": "2026-08-04"
}