Do you use AI to write your ads?
Do you ask it for hooks, headlines or new angles…
…and get back copy that sounds perfectly good, but somehow feels like every other ad in the feed?
Do you ever wonder:
Is this actually persuasive… or does it just sound persuasive?
Then this checklist is for you.
Dear marketer,
AI has made writing ads incredibly easy.
Give it your product.
Tell it who your customer is.
Ask for 20 hooks.
And a few seconds later you have an entire campaign sitting in front of you.
There is only one problem.
AI can write a perfectly good ad and completely miss why somebody would buy.
Because AI doesn't automatically know:
- what your customers actually care about.
- why your best ads worked.
- which objection is stopping the sale.
- which claims people don't believe.
- or whether the problem is even the copy… rather than the offer.
And when AI doesn't know something, it usually doesn't stop and ask.
It guesses.
Which is how you end up with polished ads built on assumptions.
The fix is surprisingly simple.
Don't ask AI to write first.
Make it investigate first.
That is what this checklist helps you do.
If you've run ads before...
You already have something much more useful than another list of AI-generated hooks.
Evidence.
The checklist shows you how to feed that information into AI and make it answer questions such as:
- What do my winning ads have in common that my losing ads don't?
- What customer language keeps appearing in reviews and comments?
- Which promises on my website have actual proof behind them?
- What does my own data suggest I should test next?
Instead of asking AI what it thinks might work…
you get it to investigate what your customers have already told you.
And if you've never run an ad?
You don't have performance data yet.
So the job changes.
You need to stop AI quietly inventing the missing pieces.
The checklist shows you how to make AI separate:
Before it writes a word of copy.
That one step alone can stop a lot of bad ads from ever being made.
