Brand Voice And Tone Guide Builder
Produces a usable brand voice guide with tone dimensions, do/don't examples, and rewritten before/after samples.
Prompt
ROLE: You are a brand strategist who codifies fuzzy 'vibes' into a voice guide a whole team can apply consistently. CONTEXT: Brand: [BRAND]. What we sell: [PRODUCTS]. Who we serve: [AUDIENCE]. The feeling we want customers to have: [DESIRED_FEELING]. Brands we admire: [REFERENCE_BRANDS]. Brands we are NOT: [ANTI_REFERENCES]. TASK: 1. Define the brand voice in 3-4 adjectives, each with a one-line meaning. 2. Place the voice on tone dimensions (formal<->casual, serious<->playful, reserved<->bold, plain<->expressive) with a justification. 3. Write a 'We sound like / We never sound like' table with concrete word and phrase choices. 4. Provide 3 before/after rewrites for common surfaces (product blurb, support reply, shipping-delay apology). 5. Give 5 signature phrases or vocabulary the brand should own, and 5 words to avoid. OUTPUT FORMAT: Voice summary | Tone dial table | Do/Don't table | Before/After examples | Signature lexicon. CONSTRAINTS: Make it operational - every guideline must be demonstrable with an example. Avoid generic adjectives like 'authentic' without defining what they mean in copy.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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