Write in anyone's voice
and sell like they do.
I feed a person’s writing into an analyzer that studies their tone, personality, even their sense of humour, and saves it as a reusable voice profile. I point my bot at that profile and it writes in that exact voice on demand. I have one profile of my own voice so everything I publish sounds like me, and profiles of marketers I admire so my bot can match the tone a given audience responds to. A consistent, well matched voice lifts conversions a little on every piece, and across hundreds of them that small lift compounds.
Most people sound slightly different in every piece they write.
One email is stiff, the next is chatty, the sales page reads like a different person wrote it. That tiny inconsistency costs you. People buy from a voice they recognise and trust, and a voice that wobbles never quite earns that trust. The fix is not to write harder. It is to capture one voice once, save it as a reusable profile, and point a bot at it so every piece you publish sounds the same. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Anyone who publishes a lot of words and wants them to convert. Course creators, coaches, founders, agencies, anyone running emails, posts, and sales pages. Especially useful if more than one person writes for you, or if you write for several different audiences. If you publish often and you sell something, this is for you.
What goes wrong
Without a saved voice, every piece drifts. Your bot writes generic copy that sounds like everyone. Your team each write in their own voice. New audiences get the wrong tone, too stiff for one, too casual for another. The reader never settles into a voice they trust, and trust is what makes them buy.
How the machine works
You feed a person’s writing into an analyzer that measures their tone, personality, humour, and sentence rhythm, then saves all of it as a reusable style profile. You point your bot at the profile and it writes in that exact voice. Keep a profile of your own voice and profiles of writers you admire. Pick the right voice for the audience, press a button, done.
What you get back
Everything you publish sounds like one trusted person, or like the voice a given audience responds to best. A consistent voice lifts conversions a little on every piece. Conservatively, around one extra sale in every two hundred readers, on copy you were already going to send. A small lift on every piece, compounding across hundreds of them.
I wanted everything I publish to sound like one person.
A few years into building my business, I noticed my content did not always sound like me. Some emails were sharp, some were flat, some sounded like a template. When you publish that much, your voice drifts, and a drifting voice quietly costs you. People follow a person, not a brand colour. If the voice keeps changing, the trust never fully lands, and trust is what turns a reader into a buyer.
So I started with myself. I fed my own writing into an analyzer that studies the contents and the style of a person, and I let it pull out the parts that make me sound like me. My tone, my values, the way I build a sentence, the phrases I reuse, even the kind of jokes I crack. It saved all of that as a profile. Now every piece my bot helps me write carries my personality and my values, so people see congruency between what I publish and how I actually speak.
Then I realised the same engine works for anyone. I can analyze the style of any writer on this planet, build a profile, and hand it to my bot so the bot replicates that person’s voice, personality, and even their sense of humour. I built profiles of several marketers I genuinely admire, people I think are very funny, because humour, used well, helps sales. My bot can now crack the same kind of jokes those marketers do, when the audience is right for it.
That last part is the quiet money. Different audiences respond to different voices. Some markets reply to something serious and down to earth. Others warm up to a little humour, and that warmth helps conversions. With a few saved profiles I can match the voice to the audience before I publish, instead of guessing. Same offer, same product, but the voice that lands best with that particular reader.
Proof point: I have shown how I think about voice, content, and the numbers behind my business on YouTube, including the channel-growth mechanics in my growth hacking series and the wider income picture in my 28 income streams breakdown, so the conservative numbers on this page are checkable.
Three moves that turn one person’s writing into conversions you can reuse
What made this work was treating voice as an asset, not a mood. Most people write in whatever voice they feel that day. A voice you have captured and saved is a thing you own, a thing you can reuse on every piece forever. The framework here captures the voice once, saves it, and points it at the right audience every time.
Capture one voice as a reusable profile
The whole engine starts with one rule. Pick a voice, gather enough of that person’s writing, and run it through an analyzer that pulls out the traits that make the voice recognisable. Tone, personality, values, sentence rhythm, pet phrases, and sense of humour. Save all of it as one profile. This is the seed. Without a saved profile your bot writes generic copy and your voice keeps drifting. Start with your own voice so everything you publish stays congruent with how you actually speak.
Build a small library of voices you admire
Once you can capture one voice, capture a few. Pick writers and marketers whose copy you genuinely admire, the funny ones, the calm teachers, the blunt closers, and build a profile of each. Now you own a small shelf of voices. Each one is a tool for a different job. You are not copying their words, you are borrowing the shape of how they connect with a reader, and pointing your bot at whichever shape fits the moment. A library beats a single voice because no single voice fits every audience.
Match the voice to the audience before you publish
With a library in place, the last move is selection. Before any piece goes out, you pick the saved voice that fits the audience. Serious and down to earth for the market that wants that. A bit of warmth and humour for the market that buys on connection. Same offer, same product, but the voice tuned to the reader. This is where the conversion lift comes from. A reader who feels understood by the voice is a reader who is a little more likely to buy, on every single piece.
Once those three moves are in place, voice stops being a mood you hope to hit and becomes an asset you point at any audience. Capturing the voice is the seed. The library is the toolbox. Matching voice to audience is where the quiet, compounding conversion lift lives.
Before the voice vault
- Every piece drifted, no two emails sounded like the same person
- The bot wrote generic copy that sounded like everyone and no one
- Each team member wrote in their own different voice
- New audiences got the wrong tone, too stiff or too casual
- Readers never settled into a voice they recognised and trusted
After the voice vault
- One saved profile keeps every piece sounding like the same person
- The bot writes in your exact voice, or any voice you have saved
- A small library of admired voices, one for each kind of audience
- The right tone matched to the right audience before you publish
- A consistent, trusted voice that lifts conversions a little every time
Prompt 1: extract the voice from a writer’s samples
Before you build anything, you need the analyzer prompt that turns raw writing into a clear profile. The mistake here is asking for vague vibes. You want measurable traits you can reuse. Use this prompt to extract a voice profile from any writer’s samples, including your own.
Voice profile extractor
Act as a copy analyst. I am building a reusable voice profile from one person's writing so a bot can later write in that exact voice. Paste of the writer's samples (emails, posts, scripts): [paste 3 to 5 samples here]. Study the samples and return a profile with these sections: tone in three words, personality and values in two lines, typical sentence length and rhythm, three to five pet phrases or words they reuse, how they use humour if at all, and how they usually open and close a piece. Keep every line plain and specific, no vague adjectives. End with a two sentence summary I can paste at the top of any future prompt to load this voice.
The output of this prompt is the voice profile itself. Save it. This single block is what you will hand to your bot every time you want it to write in this voice.
Prompt 2: write a new piece in a saved voice
Once you have a saved profile, this is the prompt that puts it to work. You load the voice, then ask for the piece. The same structure works for an email, a post, or a section of a sales page. Use this prompt to generate copy in any voice you have captured.
Write in this voice
Act as a copywriter writing in a specific voice. Here is the voice profile to use: [paste the saved voice profile from Prompt 1]. Now write the following piece entirely in that voice, matching the tone, rhythm, pet phrases, and humour level exactly: Type of piece: [email, post, or sales page section]. Goal of the piece: [what you want the reader to do]. Key points to include: [list them]. Stay in the voice from the first word to the last. Do not add hype words. Give me two versions so I can pick the one that sounds most like the profile.
Run this every time you need a piece in that voice. The profile keeps the output consistent, so the tenth email sounds like the first, and the reader settles into a voice they trust.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind quiet, conversion-lifting automations?
I teach the same mechanics that power this style cloner inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and make the content they already publish convert better. No coding required.
Week one: one saved voice and a handful of pieces that finally sound the same.
Most people abandon a system like this in the first week because the first week looks small. That is the point. A voice profile is meant to feel quiet on day one and real on day three hundred and sixty five. The first week you capture one voice, your own, and write a few pieces with it. Nothing dramatic happens. That is normal.
Week one looks like this. You gather three to five of your own writing samples, run the extractor prompt, and save the profile. Then you write your next batch of emails and posts using the saved voice instead of starting from scratch. The copy comes out faster and, more importantly, it all sounds like the same person. The lift in conversions is tiny at first, a fraction of a percent on each piece. Modest, believable, repeatable.
The point of the first week is not the extra sale. The point is to confirm the profile captures your voice accurately, the bot writes in it consistently, and the output sounds like you and not like a template. Once that is locked, every piece after it carries the same trusted voice.
From there the maths is simple. Say a consistent, well matched voice lifts conversions by half a percent on each piece, and you publish a few hundred emails, posts, and pages a year. On the volume most creators already publish, that small lift is worth roughly fifteen hundred to two thousand a year in extra sales on copy you were sending anyway. Over five years, as your library grows and the matching gets sharper, it compounds to ten thousand or more.
All of this runs while you do everything else. You capture the voice once, the bot reuses it forever, and every piece you publish quietly carries a voice the reader trusts a little more. The lift is small per piece and large across years.
Prompt 3: match the right saved voice to an audience
A library of voices is only useful if you pick the right one. This prompt looks at who you are writing to and tells you which saved voice will land best. Use it before you publish, especially when you are reaching a new market.
Voice to audience matcher
Act as an audience strategist. I have several saved voice profiles and I need to pick the right one for a specific audience. My saved voices, with a one line description of each: [list them, for example: my own voice, calm and direct. funny marketer, warm and playful. blunt closer, short and firm]. The audience I am about to write to: [describe who they are, what they care about, and how they usually respond to copy]. Tell me which saved voice fits this audience best and why, in three lines. Then flag one risk, for example if the humour might fall flat with this group, so I can adjust before I publish.
The match is where the conversion lift comes from. A serious audience gets the serious voice, a warm audience gets the funny one, and the reader feels understood by the copy before they even read the offer.
Prompt 4: keep your bot from drifting off voice
Over time a bot tends to slide back toward generic copy. This prompt is a quick check you run on any draft to confirm it still matches the saved profile. Use it as a final gate before anything goes out.
Voice drift checker
Act as a voice editor. I have a saved voice profile and a draft, and I need to know how closely the draft matches the voice. The voice profile: [paste it]. The draft to check: [paste it]. Score the draft from 1 to 10 on how well it matches the voice. List the three lines that sound most off voice and rewrite each one to match the profile. Then give me one short note on what the draft did well so I keep doing it. Plain English, no praise padding.
Run this on anything important before it ships. A two minute check keeps every piece on voice, which is the whole point. A drifting voice slowly loses the trust the saved profile was built to protect.
The exact build, step by step
Gather a writer’s samples in one place
Pick the voice you want to capture and collect enough of that person’s writing for the analyzer to learn from. Three to five solid samples is usually enough, more is better. Use emails, posts, video scripts, anything where the voice is natural. Start with your own writing, because your own voice is the one you will reuse the most. Drop the samples in one folder or one document so the analyzer has a clean set to study. The richer the samples, the truer the profile.
Run the analyzer to pull out the traits
Feed the samples through the extractor prompt and let it break the voice into measurable traits. Tone, personality and values, sentence rhythm, the phrases the writer reuses, and how they handle humour. This is the step that turns a feeling into something a bot can follow. You are not asking for vague vibes, you are asking for specific, reusable traits. The output should read like a clear spec for the voice, the kind of thing you could hand to anyone and they would write in that style.
Save it as one reusable style profile
Take the traits the analyzer produced and save them as a single profile, a short block of text you can paste at the top of any prompt. Name it clearly, for example my voice, or the name of the marketer you cloned. This profile is the asset. You build it once and reuse it forever. Keep all your profiles in one place, a simple document or a small base, so you can grab any voice the moment you need it. One voice, saved once, pointed at your bot any time.
Point your bot at the profile and write
Now put the profile to work. Load the saved voice at the top of your writing prompt, then ask for the piece you need, an email, a post, a section of a sales page. The bot writes in that exact voice, matching the tone, rhythm, and humour you captured. Write the same message in two different saved voices and you will see the difference instantly. Same content, completely different feel. This is the moment the system earns its keep, because now every piece comes out on voice with no extra effort.
Match the saved voice to the audience
Build a small library of voices, then pick the right one for each audience before you publish. A serious, down to earth voice for the market that wants that. A warmer, funnier voice for the market that buys on connection. Run the matcher prompt when you are unsure. This is the step that turns consistency into conversions, because a reader who feels the voice was made for them is a reader who is a little more likely to act. Same offer, the voice tuned to the person reading it.
Reuse one voice across everything you ship
Final piece. Make the saved voice the default for every email, post, and page you publish. Run the drift checker on anything important so the bot does not slide back to generic copy. Now the small conversion lift is not one piece, it is every piece, all year. The voice is the asset that keeps paying. One profile, reused across hundreds of pieces, each one a fraction more likely to convert because the reader recognises and trusts the voice. That is where the compounding lives.
Voice captured
Gather a writer’s samples, run the analyzer, and pull out the traits that make the voice recognisable.
Profile saved
Store the traits as one reusable block you can paste at the top of any prompt, named and set to reuse.
Bot writes in voice
Point the bot at the saved profile and it writes emails, posts, and pages in that exact voice on demand.
Conversions lift
Match the right voice to each audience, and a small lift on every piece compounds across hundreds of them over years.
Build this style cloner inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind voice-cloning automations like this one. Step by step, no code, plain English. Save two hours a day and make the content you already publish quietly convert a little better.
The six months after I switched it on
Here is the shape of the first six months after I started writing everything from saved voice profiles. The line is intentionally modest early and climbs as my library grows and the audience matching gets sharper, because that is how a quiet, voice-driven lift actually behaves.
Monthly extra sales from a consistent, matched voice
Three things matter on this chart. The line settles into a steady run rate and stays there. The extra sales come from copy you were already publishing, not new work. And every one of those months happens without you writing harder, just writing in a voice you saved once.
What other students built
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I built a profile of my own voice and now my whole team writes from it. Our emails finally sound like one person, and our reply rate ticked up within a month.”
“I cloned the voice of a marketer I admire for one funny audience and kept my serious voice for the other. Same offer, two voices, and the funny one closed noticeably better.”
“The drift checker is the part I did not expect to love. My bot used to slide into generic copy. Now every draft gets scored against my voice before it goes out.”
“Knowing the first weeks would look small kept me going. By month three every page sounded like me, and my sales pages converted a little better without me changing the offer.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
Style cloning: common questions
Pulled from what readers and Automations Made Easy students ask most.
Do I need to be a developer to set this up?
No. The analyzer is a prompt you run on a writer’s samples, and the profile is a short block of text you save and reuse. The bot is the same AI tool you already use, just loaded with the saved voice. The skills you need are picking good samples and writing the extractor prompt clearly, which is exactly what Automations Made Easy teaches.
Is cloning someone else’s voice fair to do?
You are borrowing the shape of how a voice connects with a reader, not copying their actual words or claiming to be them. It is the same thing every writer does when they study someone they admire and absorb the rhythm. Use it to sharpen your own communication and to match a tone an audience responds to, and keep the content honest and your own.
How many writing samples do I need to capture a voice?
Three to five solid samples is usually enough to get a clear profile, and more makes it truer. Use pieces where the voice is natural and consistent, like emails or posts rather than something heavily edited by someone else. If the first profile feels off, add a couple more samples and run the extractor again. The richer the input, the better the bot matches the voice.
Will the conversion lift really be this small?
Yes, and that is on purpose. A consistent, well matched voice does not double your sales, it nudges each piece a fraction better. The power is volume. A half percent lift on one email is nothing, but the same lift on a few hundred emails, posts, and pages a year adds up, and it compounds as your library and your matching improve over the years.
Can I keep my own voice and still use other voices?
Yes, and that is the recommended setup. Keep one profile of your own voice as the default so your content stays congruent with how you actually speak, and build a small library of other voices for specific audiences. You pick which voice to use per piece. Most of the time you will use your own, and reach for an admired voice only when a particular audience calls for it.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Run this style cloner yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind voice-cloning automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through which voices to capture and how to match them to your specific audiences first, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
