Report Types
Report types generated by VOC Insight MCP.
Report Modules
| Module | What it answers |
|---|---|
| AI market insight | What is the overall brand situation and what should the team watch next? |
| User voice | What do consumers praise, complain about, or worry about before purchase? |
| Platform analysis | Which platforms drive volume, sentiment, or risk? |
| Competitor comparison | How does the brand compare with competitors in voice, engagement, and sentiment? |
| Data center | Which original posts support the conclusion, and can we search or filter them? |
What Each Report Shows
| Report | Typical Content |
|---|---|
| VOC overview | Voice, engagement, sentiment distribution, platform distribution, key opportunities, and major risks |
| User feedback | Positive feedback, negative complaints, purchase concerns, and repeated product issues |
| Sentiment trend | Positive/neutral/negative trends, reasons for changes, and key drivers |
| Competitor comparison | Voice share, engagement, sentiment differences, and platform advantages |
| Risk alert | Negative anomalies, sudden conversation spikes, platform-level risks, and posts requiring attention |
| Evidence report | Raw posts, links, platforms, timestamps, and engagement data supporting the conclusions |
Deep Analysis Report
After collection is complete and data is ready, AI deep analysis can generate a full report with summaries, multi-dimensional analysis, evidence, and operational recommendations. It is generated from collected data and does not participate in the collection process itself.
Report Interpretation
The Brand Social Insight report is a real-time VOC dashboard. It organizes public conversations about the brand and competitors into five modules and keeps conclusions traceable to source posts where possible.
Three Report-Wide Rules
- Competitor benchmarking first: many metrics are more useful when compared against competitors, not viewed in isolation.
- Shared global controls: time range and data basis affect the full report, so confirm the current analysis window first.
- Drill-down by evidence: trends, sentiment, keywords, and AI citations should be traceable back to source posts.
Global Controls
| Control | Purpose |
|---|---|
| Time range | Affects all metrics and trends; common windows include 7 / 15 / 30 / 90 / 365 days |
| Data basis | Helps interpret whether the report is organized by collection time or publish time |
Brand Header Card
The top section carries brand identity and global actions. It usually includes brand name, description, last refresh time, monitoring keywords, competitor tags, owned social accounts, collection schedule, and collection status.
Five Modules
1. AI Market Insight and Key Metrics
Answers the overall brand situation, current opportunities, and key risks. Common content includes summary judgment, growth opportunities, risk alerts, competitive pressure, metric cards, and platform distribution.
2. Competitor Comparison: Trends and Share
Shows how the brand compares with competitors in voice, engagement, and sentiment, and whether the brand is gaining or losing share.
3. User Voice: Sentiment and VOC
Shows what users praise, what they complain about, and what drives positive or negative sentiment. Useful for product, operations, support, and content teams.
4. Platform Analysis
Shows which platforms have stronger reputation, which platforms carry more risk, and whether discussion themes differ by platform.
5. Data Center: Posts and Drill-down
Provides source posts for evidence review and secondary analysis. Users can ask the AI to find posts about specific topics, platforms, sentiment, or time windows.