Output Categories

OutputExamples
Brand metricsVolume, reach, engagement, sentiment, platform distribution
PostsSource posts, links, platform, sentiment, engagement, timestamps
SentimentPositive/negative/neutral distribution and key drivers
Voice shareBrand vs competitor voice-share trend
Competitor comparisonVolume, engagement, sentiment, platform performance
Risk alertsNegative spikes, platform risk, emerging issues
AI reportAI summary, multi-dimensional analysis, recommendations, evidence

Key Fields

DataCommon Fields
Brand metricsmentions, reach, engagement, sentiment, platformBreakdown
PostspostId, platform, url, text, author, publishedAt, sentiment, engagement
Sentimentpositive, neutral, negative, drivers, examples
CompetitorsbrandId, brandName, voiceShare, sentimentScore, engagementRate
Collection progressjobId, status, progress, startedAt, completedAt

Data Readiness

Read and analysis tools should be used after collection has completed and posts are available. The practical gate is collection status completed or partial, with post count greater than 0. A completed collection with 0 posts usually means no available discussion matched the current setup; it is stale data, not necessarily a system failure.

Traceable Evidence

VOC Insight MCP results should preserve raw post evidence where possible, including platform, URL, timestamp, and engagement data. Customers can keep asking which posts support a conclusion, or filter raw content by platform, time, sentiment, and popularity.