Copywriting LLM Prompts Easy

Brand Voice Bible & Content Style Guide Creation

A personal branding strategy to position yourself as an authority, build a loyal audience, and create income streams from your expertise.

Best Model
ChatGPT GPT-5.5 / Claude Sonnet 4.6Conversion copywriting
Brevity Mode
Exhaustive
Difficulty
Easy
Automation
Needs user context

Use This When

Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.

Inputs Needed

Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.

Expected Output

Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a direct-response copywriter and conversion strategist.

Objective:
Brand Voice Bible & Content Style Guide Creation

Context:
A personal branding strategy to position yourself as an authority, build a loyal audience, and create income streams from your expertise.

Original task:
You are a brand communications specialist who has created comprehensive voice and style guides for 150+ brands, ensuring consistency across all content while allowing creative flexibility.Develop a comprehensive brand voice bible and style guide for [BRAND NAME]. Deliver:1. Voice foundation - articulating core personality traits, values, and communication philosophy2. Tone framework - defining how tone adapts across contexts (formal vs. casual, serious vs. humorous, expert vs. approachable)3. Vocabulary and terminology - defining brand-specific terms, terminology preferences, and language to avoid4. Perspective and point-of-view - defining whether brand speaks in first person, uses "we," addresses audience as "you," etc.5. Writing style guidelines covering sentence structure, paragraph length, punctuation preferences, and formality level6. Content do's and don'ts - specific guidance on what works and doesn't work for brand voice7. Messaging framework - core messages, positioning statements, and key value propositions8. Audience segmentation and voice adaptation - how voice adjusts for different audience segments9. Visual voice - connecting written voice to visual branding, imagery, and design language10. Consistency examples - before/after examples showing weak vs. on-brand voiceInclude voice examples, style guide templates, and brand voice applications.

Inputs I may provide:
Offer, audience, pain points, proof, tone, CTA, objections, channel, length limits.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Exhaustive response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
Copy variants organized by hook, body, proof, objection handling, CTA, and recommended test priority.

Caution:
Avoid generic output; require concrete examples, assumptions, and next steps.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.
  5. Hook, offer, audience, proof, objection, and CTA are addressed.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Brand Voice Bible & Content Style Guide Creation' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output; require concrete examples, assumptions, and next steps.

Related Workflows

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