share-of-voice

Calculate share of voice by aggregating competitive visibility across organic search, paid ads, social mentions, and AI citations. This Skill computes dimension-specific SOV scores with configurable weights to show which competitors are winning attention. Results are persisted via competitor-tracker.py.

Share of voice measures which brand competitors are winning attention across organic, paid, social, and AI discovery. This Skill benchmarks AI citation visibility across major AI engines alongside traditional channels, applying sentiment weighting to social listening data.

Benchmark organic and ad impression share by loading active brand context and competitor baselines, then applying configurable weights to keyword universe comparisons and auction-impression-based ad assessment. The Skill generates ranked comparison tables and dimension-level drivers.

Track share of voice momentum by comparing current results to an optional previous period. This reveals visibility gains or declines by competitor and dimension, producing an overall dashboard with prioritized opportunity areas for closing specific gaps.

Setting up a competitive visibility dashboard requires loading active brand context, competitor baselines, target keywords, and specifying dimensions like organic, paid, social, or AI. You also define the social time window to get an overall SOV dashboard with per-dimension breakdowns.

Yes, the share of voice calculation applies sentiment weighting to time-bounded social listening data. This ensures social mentions are scored accurately within the overall competitive visibility breakdown alongside organic, paid, and AI citation dimensions.