Brand Voice Guide Generator

Pro v1.0.0 1 view

Analyze content samples to generate comprehensive brand voice style guides with actionable do's/don'ts, vocabulary lists, sentence patterns, and writer checklists.

What You Get

Transform scattered content samples into a structured, actionable style guide that ensures consistent brand voice across all writers and channels.

The Problem

Marketing teams struggle to maintain consistent brand voice across content. New writers produce off-brand content. Style guides exist but are vague ('be friendly') and unusable. Teams waste hours on revisions. Freelancers can't capture the brand's personality.

The Solution

Analyzes 5-10 of your best content samples using Python to extract quantifiable voice patterns: sentence length, contraction usage, direct address frequency, vocabulary patterns, and structural elements. Synthesizes these metrics into a comprehensive style guide with specific do's/don'ts (backed by actual examples), vocabulary lists, sentence templates, context-specific tone adjustments, and writer checklists. Every guideline is evidence-based, not aspirational.

How It Works

  1. 1 Collect 5-10 on-brand content samples (blog posts, emails, social posts, website copy)
  2. 2 Run Python voice analysis to measure tone metrics, vocabulary patterns, and structural elements
  3. 3 Define core voice attributes and personality framework from analysis data
  4. 4 Generate 20+ do's/don'ts with examples pulled from actual content samples
  5. 5 Create vocabulary guide with 30+ words/phrases to embrace vs avoid
  6. 6 Build 3-5 sentence structure templates with fill-in-the-blank patterns
  7. 7 Develop context-specific tone adjustments for blog, email, social, and technical content
  8. 8 Compile quick writer checklist and sample before/after rewrites

What You'll Need

  • 5-10 content samples representing desired brand voice
  • Minimum 200 words per sample (500+ preferred for accuracy)
  • Content should be actual examples, not aspirational descriptions

Get This Skill

Requires Pro subscription ($9/month)

Have Feedback?

Help us improve this skill by sharing your ideas and suggestions.

Request Improvements

Examples

B2B SaaS Data-Driven Marketing Voice

Analyzes B2B SaaS blog content characterized by data-backed claims, direct address, and problem-first messaging. Demonstrates extraction of patterns like 'After analyzing X, we found...' and empathetic recognition phrases.

View example

Irreverent Snack Brand Bold Voice

Analyzes bold, unapologetic snack brand content with ultra-punchy fragments, provocative questions, and dismissive confidence. Demonstrates extraction of 'Judge us' patterns and fragment-forward swagger.

View example

Wellness Brand Gentle Encouragement Voice

Analyzes wellness brand content characterized by short, breathable sentences, gentle invitations rather than instructions, and community-centered warmth. Demonstrates extraction of meditative rhythm patterns and balanced realism.

View example
View all examples