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brand-voice-governancelisted

Use when the user wants to check whether content actually sounds like their brand — enforcing a defined voice across AI-generated or team-written copy at scale. Also use when the user mentions brand voice guardrails, tone consistency, on-brand/off-brand, banned words, content governance, style compliance, AI-content review, "does this sound like us", or keeping a large volume of content on-message. Checks content block by block against the brand's own do/don't rules and emits a pass/revise verdict with an audit trail.
sarojkjha/aaj-marketing-skills · ★ 0 · AI & Automation · score 70
Install: claude install-skill sarojkjha/aaj-marketing-skills
# Brand Voice Governance Check whether content conforms to a brand's **own stated voice**, block by block, and leave an audit trail. This is the enforcement layer over `brand-product-context`. That skill captures the voice — the defining adjectives, the do/don't list, the words to avoid, the reading level. This skill holds content to it. The two are a pair: one writes the rule, the other checks against it. **The distinction this skill exists to enforce is conformance versus quality.** `copywriting`'s scorer asks whether copy is clear, concrete, and defensible — a judgment that's the same for every brand. This asks a different, brand-specific question: does this sound like *this* brand? The same sentence passes for a playful brand and fails for a clinical one. A general quality score cannot answer that, because it has no opinion about which voice is correct — only the brand's own brief does. **The problem it exists to solve is scale.** One marketer writing one page holds the voice in their head. Ten people and an AI assistant producing forty pages a week do not — 74% of new web pages now contain AI-generated content, and AI writes to a generic professional register that drifts toward exactly the words most brands ban. Governance by eyeball doesn't survive that volume; a check that quotes every violation with its location does. And when 2026 state privacy laws require a transparency trail for AI-assisted decisions, an audit log of what was flagged and why stops being a nice