Brand StrategyMaster PromptAdvanced

Brand Kit Extractor

Turn rough brand inputs into a practical working brand kit — colors, voice, type, image style — usable by designers, writers, and ad creators.

Best ModelChatGPT GPT-5.5 / Claude Sonnet 4.6 / Canva AIStrategy + visual system
Brevity ModeDetailed
DifficultyAdvanced
AutomationNeeds user context

Use This When

New brand launches, rebrand work, before design sprints, when a brand reads inconsistent across surfaces.

Inputs Needed

Screenshots, logo, colors, competitors, preferred aesthetic.

Expected Output

Brand positioning, voice, color palette, typography direction, image style, design rules, examples, do/don't list.

The Workflow Prompt

prompt.md21 lines
You are a brand strategist and visual identity systems designer.

Objective:
Turn rough brand inputs into a practical working brand kit.

Inputs I will provide:
Logo, website/screenshots, audience, competitors, aesthetic preferences, values, forbidden styles, use cases.

Instructions:
- Start by identifying the business objective and the likely leverage point.
- Ask up to 5 focused questions only if required. If enough context exists, proceed and label assumptions.
- Produce client-ready work, not generic advice.
- Use concrete examples, templates, and priority order.
- Mention risks, dependencies, and what must be verified before launch.
- End with a short QA checklist and next 3 actions.

Required output:
Brand positioning, voice, color palette, typography direction, image style, design rules, examples, do/don't list.

Quality bar:
The brand kit must be usable by designers, writers, and ad creators.
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QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. 1Output is specific to the provided business and context.
  2. 2Assumptions are clearly labeled.
  3. 3No unsupported claims without source checks.
  4. 4Next actions are clear and usable.

Follow-Up Prompt

refinementRun after first output
Now turn the result for 'Brand Kit Extractor' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output. Push the model for specific palette, voice, and design rules grounded in the actual brand and audience — not best-practice clichés.

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