How to use ChatGPT to write your website copy (without sounding like AI)

Ask ChatGPT to "write copy for my landing page" with no other context, and you'll get exactly what that prompt deserves: fluent, grammatically perfect, and completely generic. It'll say your business is "dedicated to excellence" and offers "innovative solutions," phrases that could describe literally any business and therefore describe none of them well.

That's not a ChatGPT limitation so much as a prompting problem. Used properly — real inputs, deliberate iteration, hard editing — it's a genuinely useful first-draft tool. Here's the workflow that actually produces usable copy.

Why the default output sounds like AI

Generic prompts get generic answers because the model has nothing specific to work with — it fills the gap with the safest, most average phrasing that fits the shape of a request. "Write website copy for a bakery" could apply to ten thousand bakeries, so it produces copy vague enough to apply to all of them, which means it's genuinely useful for none of them. The fix isn't a better AI tool. It's a better prompt with real inputs in it.

This is worth internalizing because it reframes the whole exercise. You're not looking for a smarter model that magically knows your business — you're doing the same job a human copywriter would do on their first day: asking you questions, taking notes, and writing from what you actually tell them. ChatGPT skips the asking-questions part unless you volunteer the answers upfront.

Give it real inputs, not a vague brief

Before you write a single prompt, gather four things: who exactly you're talking to, what you're actually offering, why someone should believe you (real proof, not a claim), and what you want them to do next. Feed all four into the prompt explicitly, in plain language — not as a formal brief, just as specific facts.

Notice that none of the "real" inputs are fancier language — they're just more specific facts. That's really the entire trick. Specificity is what separates copy that sounds like it was written for your business from copy that sounds like it was written for the category your business happens to belong to.

Iterate — don't accept the first draft

The first response is a starting point, not a final answer. Treat the conversation like editing a junior copywriter's draft: tell it specifically what's wrong. "Cut the second paragraph, it's repeating the headline" or "this sounds like every other bakery, make the lead time and the tasting policy the actual headline" produces real improvement. "Make it better" doesn't — it's too vague for the model to know what better means, the same problem as the original prompt.

1. 1
   Gather your real inputs

   Audience, offer, proof, and the one action you want taken.
2. 2
   Write a first draft prompt with all four

   Include real specifics, not categories — names, numbers, actual policies.
3. 3
   Read the output for genuinely generic lines

   Any sentence that could describe a competitor too needs to go.
4. 4
   Give specific edit instructions, not vague ones

   Name the exact sentence and exactly what's wrong with it.
5. 5
   Repeat until nothing could describe someone else

   This is usually three or four rounds, not one.

A useful test at each round: could a competitor in the same city publish this exact sentence on their own site without changing a word? If yes, that sentence isn't doing its job yet. Push for the detail that makes it true specifically of your business and nobody else's.

Edit for voice — the step people skip

Even a good draft needs a human pass, because ChatGPT defaults to a particular cadence: balanced sentence lengths, a slightly formal register, a habit of restating the point in a closing sentence. Read your draft out loud. Anywhere it doesn't sound like something you'd actually say to a customer standing in front of you, rewrite it in your own words. This is usually a light pass, a sentence here and there, not a rewrite — but skipping it is exactly why so much AI-assisted copy is easy to spot at a glance.

One specific thing to listen for: the closing-sentence restatement habit. A lot of AI-drafted paragraphs end by summarizing what the paragraph just said, which reads as padding once you notice it. Cutting that final sentence is often the single highest-value edit you can make to a paragraph, and it takes seconds once you know to look for it.

Where AI copy commonly goes wrong

Watch for a few specific failure patterns even after editing: generic superlative claims with nothing behind them ("the best in town"), invented specificity that sounds precise but isn't true (a percentage or client count you never gave it — always verify any number before publishing), and a tendency to hedge by covering every possible audience instead of committing to the one you actually serve. All three are fixable in editing, but only if you're specifically looking for them.

It's also worth reading the full draft once specifically hunting for audience-hedging — sentences that try to appeal to everyone at once and end up committing to nothing. A tutoring service that says it helps "students of all ages and levels achieve their academic goals" is really saying nothing at all. Naming the actual audience, even narrowly, almost always reads as more confident and more credible than a broad, hedged claim.

• ✓Vague prompts produce vague copy — feed it real audience, offer and proof details instead.
• ✓Treat the first response as a draft, not a final answer, and give specific edit instructions.
• ✓Always do a human voice pass — read it aloud and rewrite anything you wouldn't actually say.
• ✓Watch for generic superlatives, invented specifics, and audience-hedging even in a good draft.
• ✓Never publish a statistic or claim you didn't explicitly give it, without verifying it first.