Why AI-Written Klaviyo Emails Sound Generic (and How to Fix It)

You ask ChatGPT to write a welcome email for your brand. A few seconds later you've got three clean paragraphs. The grammar is perfect. The structure is right. It thanks the subscriber, nods at your values, teases what's coming.

And it could belong to anyone. Swap your logo for another brand's and nothing would feel out of place. It reads fine and says nothing. That's what people mean when they say AI copy sounds generic.

It's a fixable problem, and the fix isn't a better tool. It's better information going in.

Why it comes out generic

AI has read an enormous number of emails. When you ask it for a welcome email with nothing else to go on, it gives you the average of all of them. The safe, middle version that's a little bit like every welcome email ever written.

That average is competent. It's also why the output sounds like everyone. The model is filling in what a welcome email usually says, because you haven't told it what yours should say. With no specifics, the average is the best it can do.

AI can write fluently. The generic feel comes from guessing, and a guess about your brand lands on the most common version of your category.

What you didn't give it

Most flat AI copy is missing the same four things.

Your brand voice. The model doesn't know how you sound, so it writes in the default tone of the internet: upbeat, tidy, a little corporate.

Real product specifics. "Our amazing products" tells it nothing. It doesn't know what you actually sell, who it's for, or why people reach for it instead of the alternative.

The actual person it's writing to. A first-time subscriber, a repeat buyer, someone who just left a full cart. Different people who need different emails. AI doesn't know which one this is unless you say.

The job of the email. What is this one email for? Get the first purchase? Set up the next email? Bring back someone who went quiet? Without the job, AI writes something that gestures at everything and asks for nothing.

Give it none of that and it has no choice but to reach for the average.

The fix, part one: feed it the specifics

The copy gets better the moment the inputs do.

Give it your voice. Paste two or three real emails you've sent that sound like you, and tell it to match the rhythm and the word choices. Examples teach it more than adjectives do.

Give it the real product. Not "our skincare line." The actual thing: what it is, who buys it, what it solves, what makes someone pick it. Specifics are what pull the copy out of the average.

Give it the person. Tell it exactly who this email goes to and where they are with you. A welcome email to a brand-new subscriber and a win-back to a lapsed customer are not the same email, and the model can only know the difference if you tell it.

Give it the job. One email, one purpose. Say what you want the reader to do and why now.

If you want the prompt-level walkthrough, I laid that out in how ChatGPT can help you write your eCommerce emails. The short version: the more real detail you hand it, the less generic it has to be.

The fix, part two: edit like you mean it

Better inputs get you a better draft. A draft is not a finished email.

The model will still hand you a line that's technically fine but not true to your brand. A claim you'd never make. A cheerful sentence that isn't you. Your job is to read the draft and decide what stays, what goes, and what's missing. Keep the lines that sound like you. Cut the ones that sound like a press release. Add the detail only you know, the thing about your product or your customer the model wouldn't know to include.

This is the part that doesn't hand off. AI can produce the words. It can't tell you which of them matter to your customer, because it can't see your customer the way you can. The judgment about what's worth saying is yours, and it's what turns a draft into an email worth sending.

Voice isn't the whole problem

Sometimes the copy sounds like you and still doesn't work, because the email has nothing to say. AI matched your tone and wrote a nicely-voiced email that gives no one a reason to click. Tone didn't fail there. The email just didn't know what it was selling or why someone should care right now. No amount of voice fixes an email with no point. If your emails read fine and still don't sell, the gap is usually the offer and the reason to act, which I get into in why your Klaviyo emails look fine but don't sell.

When AI isn't the place to start

All of this assumes you know your voice, your customer, and what your emails are for. If you do, AI is genuinely fast and genuinely good. It takes the specifics you already have and turns them into drafts quickly.

If you don't have those yet, AI can't supply them. It will write confident copy on top of a guess, and you'll get polished emails built on decisions nobody made. That's the bigger version of this whole piece, and it's why AI won't build your retention system for you. The tool is waiting on the strategy. Sort out who you're talking to and what you're selling, then let AI move fast on it.

Not every brand is at the same spot. If your voice and your offer are clear, the fix here is most of what you need. If you're still working those out, that's the job to do first, with or without AI.

Before you trust an AI draft

• Did you give it real examples of your voice, not just a description of it?

• Did you tell it what you actually sell and who buys it, in specifics?

• Did you name the exact person this email goes to and where they are with you?

• Did you give the email one clear job?

• Did you read the draft and cut anything that doesn't sound like you or isn't true?

• Does the finished email give the reader a real reason to act now?

AI writing generic emails is the most fixable problem on this list, because the fix is in your hands. Better information in, better email out. The model gives you a fast draft. Everything that makes it sound like your brand still comes from you.

If you want help working out your voice, your segments, or what your emails should be doing before you point AI at them, book a free call. We'll talk through where your email program is now and whether working together makes sense. No pressure, no pitch.

Email is a system, not a send.

— Alex

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Frequently asked questions

Why do AI-written emails sound generic?

Because the AI is working from generic information. When you ask for an email without giving it your brand voice, real product details, the specific customer, and the job of the email, it fills those gaps with the average of every similar email it has seen. Give it those specifics, then edit the draft with your own judgment, and the generic feel goes away.

Can ChatGPT write emails in my brand voice?

It gets close if you show it your voice instead of describing it. Paste two or three real emails you've sent that sound like you and ask it to match the rhythm and word choices. Examples teach it far more than adjectives like "friendly" or "professional."

What should I give an AI tool to get a better email draft?

Four things it usually doesn't have: examples of your brand voice, real specifics about the product and who buys it, the exact customer this email is going to, and the one job the email needs to do. Hand it those and the draft stops sounding like everyone else's. Then edit it down to what's true and what matters.