Example Prompts
- “Compare Slack vs Discord vs Teams on social media”
- “How does Claude compare to ChatGPT and Gemini?”
- “Competitive analysis: Figma vs Sketch vs Adobe XD”
- “Compare sentiment around Nike vs Adidas vs Puma”
Analysis Components
- Share of Voice: Percentage of total social mentions each brand captures across platforms. Measured by total post volume per brand.
- Sentiment Comparison: Side-by-side sentiment scores for each brand, highlighting which brand has the most positive (or negative) perception.
- Engagement Comparison: Average likes, retweets, comments per post for each brand, showing which brand generates the most interaction.
- Audience Overlap: Identifies users who discuss multiple brands, revealing shared audience segments.
- Positioning Analysis: How each brand is perceived relative to competitors — what unique strengths and weaknesses the social conversation reveals.
How It Works
1
Build brand queries
Constructs targeted queries for each brand with disambiguation terms to avoid false positives.
2
Collect data per brand
Searches Twitter and Reddit for each brand independently.
3
Normalize metrics
Normalizes engagement and volume metrics across brands for fair comparison.
4
Compare and rank
Calculates share of voice, sentiment deltas, and engagement ratios.
5
Generate report
Produces a comparative report with tables, rankings, and positioning insights.