The Voice Pattern Decoder
Stop guessing the voice. Map the fingerprints.
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The Client Does Not Have A “Vibe.” They Have Evidence.
Everybody wants writing that “sounds like me.” Lovely. Very helpful. Like telling a barber, “Make me look more successful.” The problem is most writers treat voice like fog: mysterious, floating, impossible to grab. But voice is not fog. Voice is fingerprints.
It studies sample writing, transcripts, or posts for repeatable patterns.
It identifies sentence rhythm, favorite phrases, emotional range, and certainty level.
It separates the client’s actual voice from generic industry noise.
It creates a practical voice guide before writing anything.
It gives you drafting rules so the next piece sounds intentional, not impersonated.
Run this prompt before writing in someone else’s voice, and you’ll stop playing “Does this sound like them?” roulette with a loaded revision gun.
How to use this prompt:
Use this when you have client source material and need to capture their voice before creating posts, articles, newsletters, scripts, speeches, or thought leadership content. Paste in 3–10 samples from the client, ideally a mix of polished writing and natural speech, because voice shows up differently when someone is performing versus talking like a normal human with a calendar problem.
Replace every placeholder with your client’s details and source material.
Use transcripts when possible because natural speech reveals rhythm and phrasing.
Ask the AI to create the voice map first before requesting a draft.
Save the final voice rules as a reusable client style guide.
Re-run the prompt whenever you get new client material or feedback.
The more raw material you give it, the sharper the output gets. One sample gives you a hunch. Five samples give you a pattern. Ten samples give you something you can actually charge for.
The Prompt:
You are an expert ghostwriter and voice-capture strategist.
Your task is to analyze the voice of [CLIENT NAME] and create a reusable Voice Pattern Map that can be used to write future content in their natural style.
Do not draft content yet. First, study the evidence.
CLIENT CONTEXT:
- Client name: [CLIENT NAME]
- Client role/title: [CLIENT ROLE]
- Industry/niche: [INDUSTRY]
- Target audience: [TARGET AUDIENCE]
- Content format we will create later: [POSTS / ARTICLES / NEWSLETTER / SPEECH / SCRIPT / OTHER]
- Desired platform: [LINKEDIN / X / NEWSLETTER / BLOG / YOUTUBE / OTHER]
- Main topics the client talks about: [TOPICS]
- Any known voice preferences: [PREFERENCES]
- Words, tones, or claims to avoid: [AVOID LIST]
SOURCE MATERIAL:
Paste 3–10 examples from the client below. These may include posts, essays, transcripts, emails, podcast excerpts, interviews, speeches, or rough notes.
[SOURCE MATERIAL]
Analyze the client’s voice using the following categories:
1. Sentence Length & Rhythm
Identify whether the client uses short, punchy sentences, long layered explanations, fragments, questions, repetition, contrast, or a mix. Include examples from the source material.
2. Word Choice
Identify common words, phrases, transitions, metaphors, industry language, casual phrases, and recurring expressions. Separate distinctive language from generic language.
3. Structure & Flow
Describe how the client tends to organize ideas. Do they start with a story, a claim, a problem, a lesson, a question, a contrarian take, or a practical framework?
4. Tone & Emotional Range
Describe the client’s natural tone. Are they direct, warm, analytical, funny, blunt, reflective, skeptical, calm, intense, optimistic, contrarian, tactical, or personal?
5. Certainty Level
Explain how strongly the client makes claims. Do they speak in absolutes, careful nuance, lived experience, data-backed confidence, questions, or soft suggestions?
6. Humor & Personality
Identify whether the client uses humor, sarcasm, understatement, exaggeration, personal quirks, simple jokes, dry observations, or no humor at all.
7. Proof Style
Identify how the client supports ideas. Do they use stories, examples, data, analogies, frameworks, personal experience, client examples, market observations, or principles?
8. Signature Patterns
List the 7–12 most important patterns that make this voice recognizable.
9. Voice Rules for Future Drafts
Create a practical list of writing rules I should follow when drafting as this client.
10. Anti-Voice Rules
Create a list of things that would make the writing sound unlike this client.
11. Before/After Voice Calibration
Write 3 generic sentences about [TOPIC], then rewrite each one in the client’s voice based on the Voice Pattern Map.
12. Reusable Voice Summary
End with a concise voice summary I can paste into future prompts whenever I need AI to write in this client’s style.
Important:
- Do not invent beliefs, stories, credentials, or opinions the client did not provide.
- Do not make the client sound more polished than they naturally are.
- Preserve productive imperfections if they are part of the client’s real voice.
- Treat voice as evidence: sentence length, word choice, rhythm, structure, humor, certainty, and recurring patterns.What to expect after running this prompt:
You should get a practical voice map that turns vague client style into something you can actually use. Instead of hoping the next draft “feels right,” you’ll have a set of rules, patterns, examples, and anti-patterns that make writing in the client’s voice more repeatable.
A clear breakdown of how the client naturally communicates.
A reusable voice summary for future AI prompts.
A list of phrases, rhythm patterns, and tone markers to preserve.
A set of anti-voice warnings to prevent generic drafts.
Before-and-after examples that show how to transform bland writing into client-aligned writing.
The win is simple: fewer awkward drafts, fewer “this doesn’t sound like me” comments, and a cleaner path from raw material to believable ghostwritten content.
Chat soon.
Roger
P.S.
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