Bloomberry now measures how closely AI-generated content matches each employee's authentic writing style — a proprietary metric for governing voice quality at scale.
Saying content sounds 'like you' is subjective. Teams needed a measurable signal to calibrate and track voice quality per employee over time.
Voice Fidelity Score is calculated from measurable signals: sentence rhythm match, vocabulary frequency alignment, hook pattern consistency, and edit rate on similar drafts. It is person-relative — a 90% score for a founder means the post matches how that founder writes, not a shared baseline.
Voice Fidelity Score surfaced in team dashboards, trend lines per employee, and export for governance reporting.