voice-inference

To extract and codify brand voice, analyze body copy, headlines, and CTAs across your website to produce a machine-readable brand-voice profile. This captures tone, vocabulary, and signature constructions for consistent governance across marketing channels.

Brand voice tone analysis evaluates content across five dimensions: Formal, Confidence, Warmth, Complexity, and Energy. It identifies vocabulary fingerprints and signature constructions to generate a structured profile that ensures consistent voice across content types.

Yes, you can compare extracted brand voice patterns against existing brand guidelines. The analysis supports optional brand-doc comparisons to surface tensions between your documented guidelines and actual website content for marketing governance.

Generate a brand-voice profile by analyzing cross-page consistency across your website's content types. The output provides an actionable set of voice rules and machine-readable context files to guide governance and ensure consistent voice across channels.

Brand voice extraction outputs two markdown files: .claude/context/brand-voice.md and .claude/context/_voice-extractions.md. These machine-readable context files capture the analyzed tone patterns and vocabulary fingerprints for loading into your workflow.

Yes, brand voice analysis assesses cross-content-type consistency by evaluating tone and vocabulary across multiple content types on your website. It produces actionable voice rules that highlight inconsistencies and ensure uniform communication across pages.