How to Write Ad Copy With AI
Quick Answer
Give AI your product, your target audience, their main pain point, and your offer. Generate 5–10 variations of each element. Test the strongest combinations. AI produces the volume to test, the data tells you what actually works.
What This Workflow Helps You Do
- Generate testable ad variations in minutes instead of hours
- Write platform-specific copy that fits each ad format
- Build a complete ad set (headlines, body, CTA) for any campaign
Step-by-Step Process
Step 1: Define your inputs before prompting
Before writing any ad copy, be clear on:
- Audience: Who exactly is seeing this ad? Be specific (not “small business owners”, “marketing managers at e-commerce companies with 10–50 employees”)
- Problem: What specific pain point does this person have right now?
- Offer: What exactly are you offering? What does it cost? What’s the commitment?
- Desired action: What do you want them to do? (click to a product page, sign up for a trial, book a call)
Step 2: Generate Facebook / Instagram ad variations
Write 5 Facebook/Instagram ad copy variations for the following.
Product/service: [describe it in one sentence]
Target audience: [be specific — who they are, what they care about]
Their main pain point: [the problem the ad addresses]
The offer: [exactly what they get and what the CTA is]
Tone: [direct / conversational / aspirational / urgent]
For each variation, provide:
- Headline (under 40 characters)
- Primary text (under 125 words)
- CTA button text (one of: Shop Now, Learn More, Sign Up, Get Offer, Book Now)
Make each variation test a different angle:
1. Problem-focused (lead with the pain)
2. Benefit-focused (lead with the outcome)
3. Social proof (lead with a result or number)
4. Curiosity / question hook
5. Direct offer (lead with what they get)
Step 3: Generate Google search ad copy
Write Google search ad copy for the keyword "[target keyword]."
My product/service: [description]
Landing page promise: [what they'll find when they click]
USP vs competitors: [what makes this different]
Create 3 ad variations, each with:
- Headline 1 (max 30 characters)
- Headline 2 (max 30 characters)
- Headline 3 (max 30 characters)
- Description 1 (max 90 characters)
- Description 2 (max 90 characters)
Include the keyword naturally in at least one headline per variation.
Focus on the searcher's intent — they're looking for [describe what they want].
Step 4: Generate LinkedIn ad copy (B2B)
Write LinkedIn ad copy for a B2B campaign.
Product/service: [describe it]
Target job title / audience: [specific role and industry]
Business problem we solve: [what pain point does this address for them at work]
Offer / CTA: [what happens when they click]
Write 3 variations:
1. Pain-point focused (speaks to a professional frustration)
2. ROI / outcome focused (leads with a measurable result)
3. Thought-leadership angle (shares an insight that leads to the offer)
Each variation: headline (under 150 characters) + body (under 600 characters).
Tone: professional but direct — not corporate buzzwords.
Step 5: Generate CTAs and landing page micro-copy
Write 10 CTA button options for an ad promoting [product/offer].
The desired action: [what you want them to do]
Avoid generic CTAs like "Click Here" or "Submit."
Mix approaches: urgency, benefit, curiosity, direct.
Max 4 words each.
Common Mistakes
Vague audience descriptions. “Small business owners” produces generic copy. “Restaurant owners who can’t fill their weekend shifts” produces copy that speaks to a real person.
Testing too few variations. AI makes generating 10 variations as fast as generating 1. Always test multiple angles. You can’t know what will resonate until you see the data.
Ignoring character limits. Google and Meta have strict character limits. Always count characters before finalizing any ad, what looks right in a document may be too long for the actual platform.
Not connecting the ad to the landing page. The ad sets an expectation. If the landing page says something different, conversion rates drop. Make sure AI-written ad copy matches your actual landing page promise.
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Frequently Asked Questions
Can AI write ad copy that actually converts?
AI can write structurally sound ad copy with good hooks and clear CTAs. Whether it converts depends on how specific you are with the offer, audience, and problem. Great AI ad copy starts with great human input. You need to know your customer well.
How many ad variations should I generate?
Generate 5–10 variations for each ad element (headline, body, CTA) so you have enough to run A/B tests. Testing is what actually reveals what works, AI speeds up getting to testable material.
Which AI tool is best for writing ad copy?
ChatGPT and Claude both work well. The quality difference comes from your prompt, not the tool. Give detailed context about the audience, the offer, and the specific emotion or outcome to drive.
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