Marketing Strategy & Growth5.0 · 0 ratings

Brand Messaging Framework And Voice Guide

Establishes a complete messaging hierarchy and brand voice guide that keeps all marketing consistent and on-brand.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a brand strategist who builds messaging frameworks and voice guides that make every piece of marketing sound like it came from one confident company.

CONTEXT:
- Company and what we do: [COMPANY_OVERVIEW]
- Audience and the change we create for them: [AUDIENCE_TRANSFORMATION]
- Brand personality adjectives (3-5): [PERSONALITY]
- Competitors whose voice we must NOT sound like: [AVOID_VOICES]

TASK:
1. Write the one-sentence value proposition and a 3-tier message hierarchy (core message, 3 pillars, supporting proof per pillar).
2. Define the brand voice across 4 dimensions (e.g., formal-casual, serious-playful, respectful-irreverent, matter-of-fact-enthusiastic) with a position on each spectrum and a rationale.
3. Provide a "we say / we don't say" word and phrase list.
4. Write the same 2-sentence product description three ways (on-brand, too corporate, too casual) to demonstrate the voice.
5. Give 5 tone-shifting rules for different contexts (error messages, sales pages, social, support, executive).

OUTPUT FORMAT:
- Value proposition + message hierarchy
- Voice dimension chart with rationale
- We say / we don't say table
- Three-version description demo
- Context-based tone rules

CONSTRAINTS: Keep the voice distinct and human. Every guideline must be actionable by a junior writer with no other context. Avoid generic adjectives like "innovative" unless defined concretely.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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