Mercury - Content Intelligence
Mercury
Content Intelligence for the patterns, themes, and formats driving performance.
Decode Content Patterns
Visual • Audio • Semantic • Performance
- Visual signals from keyframes and scene composition
- Audio signals from speech and sound classification
- Semantic signals from captions and hashtags
- Performance correlation with engagement metrics
Clustering Pipeline
- Stage 1: Major content themes (100+ videos)
- Stage 2: Micro-patterns (50+ videos)
- Stage 3: Ultra-micro niches (15+ videos)
- Noise recovery via k-NN assignment
What You Learn
- Your core content pillars
- Hidden patterns you didn't know existed
- What differentiates high vs low performers
- Gaps and opportunities in your strategy
Product proof
Mercury content intelligence examples
Open finished clustering runs to inspect content themes, formats, and performance signals.
Workflow 02
Mercury
2 runs
Content Intelligence for pattern, theme, format, and performance signals across finished reports.
- Mercury report@tacobellTaco BellA finished Mercury report showing how posts group by creative pattern, theme, and performance signal.18Clusters1.3KPosts6Signals
- Mercury report@claudeaiClaude AIA finished Mercury report with explorable post groups, cluster summaries, and creative performance patterns.14Clusters932Posts5Signals
See this format on your marketRequest a Demo
What You Can Do
01
Identify your strongest content pillars
02
Discover content gaps and new opportunities
03
Replicate what works across accounts
04
Brief creators with data-backed themes
Coming Soon
Coming Soon
Trend Prediction
AI identifies rising content patterns before they peak.
Coming Soon
Competitive Benchmarking
Compare your content strategy against any competitor.