How Our AI Ad Copy Generator Works for Ecommerce Brands

We built an AI agent that generates 50+ ad variations for Meta, Google, and other platforms. Structured across multiple angles. Formatted for direct upload. Ready to test.

This is what goes into it.

Three inputs

The ad creative agent needs three things from you:

1. Product page URL. The agent scrapes the page. Product name, price, features, description, images. It extracts the factual foundation of every ad variation.

2. Customer reviews. This is the most important input. Reviews contain the language your customers actually use. The specific benefits they mention. The problems your product solved for them. The comparisons they make to alternatives. AI-generated ad copy grounded in real customer language outperforms copy written from a features list.

3. Target CPA and context. What you're willing to pay per acquisition, your current best-performing angle (if any), and any brand guidelines or phrases to include/avoid.

What the agent produces

The agent generates variations across a structured creative matrix:

Headlines (5-10 words). 15-20 headline variations across different hooks: benefit-led, problem-led, specificity, social proof, curiosity.

Primary text (short form). 15-20 variations of 1-3 sentences. Direct response copy optimised for the Meta feed.

Primary text (mid form). 10-15 variations of 3-5 sentences. More context for higher-consideration products.

Descriptions. 10 variations of the description line (the smaller text under Meta ads).

Each variation is tagged with its creative angle so you can track which angles perform best and feed that data back into the next generation round.

How it builds from reviews

The best ad copy comes from customers, not marketers. The agent analyses reviews for:

Specific outcomes. "My drive went 15 yards further" is better ad copy than "improves distance." The agent finds these specific claims and builds variations around them.

Before/after language. "I used to struggle with X, now I Y" patterns from reviews become the backbone of problem/solution ad angles.

Comparison language. When customers compare your product to alternatives, that language becomes comparison-angle ad copy.

Emotional language. The words customers use to describe how the product made them feel. Confidence. Relief. Excitement. These become hooks.

Output format

The agent outputs a CSV file formatted for Meta Ads Manager bulk upload. Columns mapped to headline, primary text, description, and call to action. You upload it directly. No copy-pasting into individual ad fields.

For Google Ads, it outputs in responsive search ad format: 15 headlines (30 chars max) and 4 descriptions (90 chars max).

Read about the results we got with 50 variations and how to fix creative fatigue with this approach.