Start with the job the copy must do
Before opening an AI tool, define the marketing job in one sentence. Good copy is not just “catchy.” It moves a specific reader toward a specific action.
Use this simple brief:
- Audience: Who is this for?
- Awareness level: Do they know they have the problem, know the solution, or know your product?
- Offer: What are you asking them to do?
- Channel: Email, ad, landing page, social post, sales page, or SMS?
- Constraint: Character count, tone, compliance, brand rules, or claim limits?
- Proof: Numbers, testimonials, case studies, demos, guarantees, or screenshots?
For example, “Write a Google Search ad for local HVAC owners who know they need more emergency repair leads, offering a free account audit, using a direct and practical tone.” That is much stronger than “write an ad for my business.”
Feed AI real source material
The easiest way to improve AI copy is to stop asking it to invent the substance. Give it raw material from your business.
Useful inputs include:
- Your homepage or product page copy
- Customer reviews
- Sales call notes
- Support tickets
- Competitor pages
- Past ad copy and email campaigns
- FAQs and objections
- Pricing details
- Customer segments
Ask the AI to extract patterns before asking it to write. For example:
“Read these customer reviews and list the top 10 reasons people buy, the top objections, and the exact phrases customers use to describe the problem.”
That gives you a sharper foundation. Customer language often beats internally polished language because it sounds like the reader’s own thoughts.
Promoto does this in a paid-ads context by scraping a customer’s URL, extracting a product profile, and using that profile to plan campaigns across Google, Meta, LinkedIn, and Microsoft Ads. You can use the same principle manually: collect the real facts first, then ask AI to shape them into copy.
Use prompts that separate strategy from drafting
A common mistake is asking for final copy too early. Break the work into stages.
1. Ask for angles
Start with positioning angles, not finished lines.
Try:
“Based on this product description and audience, give me 12 marketing copy angles. Group them by pain, desired outcome, objection, proof, urgency, and differentiation. For each angle, explain when it would work best.”
This gives you strategic options. You might find that an objection-led angle is better for email, while a direct outcome angle is better for paid search.
2. Ask for message hierarchy
Once you pick an angle, ask the AI to organize the message.
Try:
“Create a message hierarchy for this offer: primary promise, supporting benefits, proof points, objections to handle, and call to action. Keep it specific and avoid hype.”
This helps prevent copy that sounds good sentence by sentence but lacks a persuasive structure.
3. Ask for variants by channel
Different channels need different copy. A landing page hero, a cold email, a Meta ad, and a Google Search ad should not use the same wording.
Try:
“Turn this message hierarchy into: 5 Google Search headlines under 30 characters, 5 Meta ad primary text options under 125 words, 3 email subject lines under 50 characters, and 2 landing page hero sections.”
Give the AI a clear voice, not a vague tone
“Make it professional” is not enough. Professional can mean formal, plainspoken, technical, warm, minimalist, or executive.
Instead, define voice with examples:
- “Plainspoken, like a senior operator explaining the tradeoff.”
- “Confident but not loud. No exclamation points.”
- “Short sentences. Avoid startup jargon.”
- “Use concrete nouns and numbers where possible.”
- “Do not use words like revolutionary, seamless, unlock, leverage, or game-changing.”
You can also provide a before-and-after example. AI tools are good at imitating patterns when you show them the pattern.
For broader strategy on where AI fits beyond copywriting, see How to Use AI for Marketing. If you specifically use ChatGPT, How to Use ChatGPT for Marketing covers practical workflows and prompt patterns.
Edit AI copy like a marketer, not a spellchecker
The first draft is rarely the final draft. Your job is to make it sharper, more believable, and more aligned with the buyer’s stage.
Use this editing checklist:
- Is the main promise obvious in the first line?
- Could a competitor say the same thing?
- Is there a concrete proof point?
- Does it name a real pain or desired outcome?
- Is the call to action clear?
- Are there unsupported claims?
- Is the copy too broad for the audience?
- Does every sentence earn its place?
AI often produces copy that is grammatically clean but strategically soft. Watch for phrases like “save time and grow your business,” “streamline your workflow,” and “take your marketing to the next level.” These are not always wrong, but they usually need specifics.
Weak: “Grow your business with smarter ads.”
Stronger: “Launch Google and Meta campaigns in under 20 minutes, with daily spend caps and approval before anything goes live.”
The second version gives the reader something to understand and evaluate.
Use AI for volume, then choose with judgment
AI is especially useful when you need many variations. Instead of asking for one headline, ask for 30. Then sort them.
A useful workflow:
- Generate 20 to 40 variants.
- Remove anything vague, exaggerated, or off-brand.
- Group the rest by angle.
- Pick 3 to 5 to test.
- Rewrite the winners manually.
This matters because AI’s first “best” option is often the most predictable one. The stronger ideas may appear in variants 12, 18, or 27.
For ads, Promoto applies this type of workflow continuously: it drafts challengers, prunes losing variants, and keeps changes behind review rules and safety checks. Whether you use Promoto or another workflow, the principle is the same: let AI create options, but use performance data and human review to decide what deserves budget.
Match AI copy to the funnel stage
One reason AI copy underperforms is that it uses the wrong level of explanation for the reader’s awareness.
Problem-aware readers
They know the pain but not the solution. Lead with the problem and the cost of inaction.
Example: “Still guessing which ad keywords are wasting budget?”
Solution-aware readers
They know the category but are comparing options. Lead with differentiation, proof, or friction reduction.
Example: “AI-managed ads with human approval before launch.”
Product-aware readers
They know you. Lead with a specific offer, update, discount, demo, or reason to act now.
Example: “Connect your Google Ads account and get your first campaign plan today.”
Ask the AI to rewrite copy for each stage. That one instruction can produce more useful output than another round of generic brainstorming.
Check claims, compliance, and brand risk
AI may invent statistics, guarantees, testimonials, or capabilities. Treat every factual claim as untrusted until verified.
Be careful with:
- Revenue claims
- Health, finance, or legal promises
- “Guaranteed” outcomes
- Competitor comparisons
- Customer logos or testimonials
- Platform-specific ad policy claims
- Superlatives like “best,” “fastest,” or “only”
If you run paid ads, this matters even more. Ad platforms can reject ads, limit delivery, or flag accounts when claims are misleading. A good review process should check the copy before it reaches customers or ad networks. For more context on the broader role of AI in campaigns, read How AI Is Used in Marketing.
A practical AI copy prompt you can reuse
Use this prompt as a starting point:
“Act as a direct-response marketing copywriter. I need copy for [channel]. The audience is [specific audience]. They are [awareness level]. The offer is [offer]. The main pain is [pain]. The desired outcome is [outcome]. Use these proof points: [proof]. Avoid these claims or words: [constraints]. Give me 10 options using different angles. For each option, include the angle, the copy, and why it might work. Keep the tone [voice description].”
Then follow up with:
“Now critique these options. Identify which are too vague, which make unsupported claims, and which are most likely to convert for this audience. Rewrite the top 3 to be more specific and credible.”
That second prompt is where much of the value comes from. It forces the AI to evaluate instead of merely generate.
The best AI copy still needs a human standard
AI can speed up research, ideation, drafting, and testing. It can help you get unstuck and create more variants than you would write manually. But it does not replace positioning, customer insight, legal judgment, or taste.
Use AI to get to a strong first draft faster. Use your knowledge of the customer to make the copy true, specific, and worth acting on.
