brand_extract_messaging
Audit a brand's current voice on its website by analyzing formality, jargon, active voice, and messaging gaps. Returns structured scores and writes a messaging audit file.
Instructions
Audit how a brand currently sounds on its website — the first step in Session 3 (brand voice and messaging). Use when the user says 'analyze my voice', 'brand voice audit', 'how does my brand sound?', or 'start Session 3'. Analyzes voice fingerprint (formality, jargon density, active voice %, hedging), vocabulary frequency, claims quality, AI-ism detection, and messaging gaps. Writes .brand/messaging-audit.md. After this, run brand_compile_messaging to define how the brand should sound. Returns structured analysis with scores.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Primary website URL to audit (typically the homepage, e.g. 'https://acme.com') | |
| pages | No | JSON array of additional page URLs to include (e.g. '["https://acme.com/about", "https://acme.com/services"]'). Analyzes up to 10 pages. |