Create a competitive sentiment and Share of Voice (SOV) benchmark comparing [CompanyName] to [Competitors] over [Timeframe] across [Channels]. Quantify relative positioning, tone distribution, and momentum. Diagnose where sentiment differentials are driven by outlet tier, topic mix, or spokesperson/journalist effects. Provide a prioritized roadmap to close sentiment and SOV gaps.
Output format (Markdown):
Positioning Snapshot: Spider chart narrative (no graphic needed) of Net Sentiment, SOV, Reach-Weighted Sentiment, Positive Story Ratio.
Benchmark Table: Brand | Net Sentiment | SOV | Reach | Tier-1 % | Δ Sentiment vs. Prior | Confidence.
Topic Mix Comparison: Table of Top 5 topics per brand with tone and exemplar headline.
Gap Drivers: Three root causes with evidence.
Plays to Win: 5 initiatives with Impact | Time-to-Effect | Dependencies | Owner mapped to [KPIs].
Flag any outlier outlets or campaigns distorting comparisons and normalize where appropriate. Provide assumptions and normalization steps in an appendix.