The best use of AI in ad copy is writing the brief, not writing the copy
This is where the workflow breaks down for most teams. A copywriter sits down with an AI tool, types 'write a Google Ads headline for [product]', gets five generic options, uses none of them, concludes AI is not useful for creative. The problem is not the model. It is the input. Use AI to construct the brief first. Better briefs produce better copy from AI and from humans.
The best use of AI in ad copy is not writing the copy. It is writing the brief.
This is where the workflow breaks down for most teams. A copywriter or media buyer sits down with an AI tool, types "write a Google Ads headline for [product]", gets five generic options, uses none of them, and concludes AI is not useful for creative.
The problem is not the model. It is the input. A brief forces you to articulate your actual differentiator, your target's real objection, and the specific moment of intent you are bidding on. Without that, the model gives you the average of what it has seen for that category. Which is exactly what your competitors are already using.
What "use AI to construct the brief" actually means
When you use AI to construct the brief first, something useful happens. You have to answer questions like:
- What does this person believe that is wrong?
- What do they fear?
- What does a good outcome look like for them?
- What objection will they raise before they say yes?
- What does our offer give them that competitors do not?
That process surfaces gaps in your positioning that would not show up in a normal brainstorming session. You catch things like "we cannot answer what makes our product different in under two sentences" or "we have never actually documented the buyer's main objection."
The brief becomes the asset, not the copy it eventually generates. Better briefs produce better copy from AI and from humans.
The workflow that works
The pattern that consistently produces useful AI output:
1. Describe your audience in specifics. Job title, company size, what they have already tried, what frustrates them about the current options. 2. Describe their main objection. Not a generic objection, the one they actually raise. 3. Describe your offer in plain terms. What you do, what you do not do, how you charge. 4. Add one thing your competitors will not say. Usually a constraint or a hard truth. 5. Give that brief to the model. Ask for ten angles, not ten headlines. 6. Pick the angles that feel sharpest. Write the headlines from the angles, not from the model's headline output.
Why "angles, not headlines"
Asking for headlines gets you the model's best guess at what a headline should be. Generic outputs.
Asking for angles forces the model to articulate a position. "Position this product as the only one that does X" is a richer output than "Headline: Buy X today."
The angle becomes the strategic input. The headline writes itself once the angle is clear. And the angle is usually portable across multiple ad variants, landing pages, and email sequences.
What to actually do
- Stop asking AI for copy. Start asking it for briefs and angles.
- Build a brief template that includes audience specifics, primary objection, offer, and a contrarian truth.
- Use the brief template as the system prompt or opening message in every copy session.
- Ask for angles first. Then write the copy yourself from the chosen angle.
- Keep the briefs in a library. They become reusable assets and an audit trail for what positioning has been tested.
Most accounts that use AI for creative skip the brief entirely. That is why the outputs feel generic.
What does your current ad copy brief look like before you start writing?
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