Write ad copy that doesn't sound like a robot
Get variations that feel written by a person, then pick the winner.
Give AI the exact audience, the one benefit to lead with, and tight rules (under 25 words, no exclamation marks, no buzzwords). Generate 8 across different angles and pick one to test.
AI ad copy fails when it's vague — it reaches for the average of every bad ad it's seen. Feed it a real audience and one benefit and it becomes a fast variation machine. You're the editor; the data picks the winner.
Feed it the three things that matter
Who exactly the reader is and what they already believe; the single most important benefit (not five); and tight constraints — length, tone, banned words. A bare request gives generic hype. The three inputs are what turn the model from a cliché generator into a useful copy partner that out-produces you on volume while you supply judgment.
Mine the voice of the customer
The highest-converting copy usually isn't invented — it's borrowed from how customers already describe their problem. Paste real reviews, support tickets or survey answers and have AI extract the recurring phrases and emotional language, then write ads in those exact words. The copy then sounds like the reader's own inner monologue, which is the biggest upgrade most people are missing.
Test angles, not adjectives
When you test, the meaningful differences are angles — fear vs aspiration, save-time vs make-money, status vs convenience — not word-level tweaks. Have AI generate across distinct angles so your test actually teaches you something about your audience, then let the data, not your taste, pick the winner. Your favourite line and the winning line differ more often than you'd think.
- 1Name exactly who the reader is and what they already believe.
- 2Pick the single most important benefit — not five.
- 3Ask for 8 variations across different angles, under 25 words, no hype.
- 4Pick your top 3 and test them against your current best.
Ad-copy prompts
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