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Most marketers treat output quality as a feeling — they'll know it when they see it. So they prompt, judge, tweak, and regenerate until something lands.
The problem isn't the prompting. It's that AI has no idea what "good" means for your brand, your audience, or this specific task. Without that context, every iteration is just another guess.
The marketers getting consistently strong results have done one thing differently: they've made their quality criteria explicit. Then they hand those criteria back to AI as part of the process.
Here's how to do it in two steps.
Step 1: Define what good looks like
You are a senior marketing strategist. Help me define quality criteria for [specific task — e.g. email subject lines, ad copy, landing page headlines].
Ask me up to 5 questions to understand my brand, audience, and goals. Then produce a short "good output" checklist I can use to evaluate any AI-generated work for this task.
Keep the checklist to 6 criteria max. Make each one specific and testable — not vague like "sounds on-brand."
Step 2: Use your criteria as a quality filter
Here is a piece of marketing copy: [paste output]
Here are my quality criteria: [paste checklist from Step 1]
Score it against each criterion. Flag what's missing. Then rewrite it to meet the standard.
Do this once per task type and you'll stop settling for outputs that are almost right.
Happy prompting!
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Winning, on-brand ads—without endless prompting
Most AI creative tools fall short for one simple reason. You can generate tons of ads, but they aren’t up to par.
Refining copy, adjusting layouts, or nudging a CTA into place shouldn’t require rewriting prompts over and over. It slows teams down and breaks the creative process.
With Hightouch Ad Studio, AI gets you 90% of the way there. For the final 10%, use a built-in editor to quickly refine copy and design, or export directly to Figma for seamless collaboration with your design team.
Move faster without losing control. Every ad, exactly how you want it.
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