share-of-voice

Measure share of voice by identifying and quantifying brand visibility across organic, paid, social, and AI channels to benchmark against competitors. The analysis applies SOV across multiple timeframes and competitor sets to assess campaign performance.

Raw social share of voice tracks basic brand visibility volume, while sentiment-weighted social SOV adjusts visibility metrics based on public perception. Both include per-entity dashboards and delta reporting to track competitor ranking changes over time.

Benchmark brand visibility by applying share of voice analysis across multiple timeframes and competitor sets. The process generates dimension-specific scores for organic, paid, social, and AI visibility with trend deltas to track competitive positioning.

Yes, you can export share of voice data. The analysis produces a dashboard-ready dataset with per-entity ranking and dimension-level breakdowns, allowing you to directly feed organic, paid, social, and AI visibility scores into reporting tools.

Yes, share of voice analysis includes AI search visibility tracking. It quantifies brand visibility specifically within AI channels alongside organic, paid, and social dimensions to provide a complete competitive benchmark.

To run a competitive brand monitoring analysis, provide your active brand name, a defined competitor set, and a target timeframe like the last 30 days. The analysis then calculates dimension-specific SOV scores to show where you rank against key competitors.