AI commerce · AI ads

AI ads: more creative to test, without faking the product.

Ad results depend on creative, and most stores can’t make enough of it to test properly. AI ads change the economics: AI tools help produce more hooks, copy, sizes and edits per idea, and the ad platforms now generate backgrounds, text and assets themselves. We use both with guardrails: real products shown as they are, claims your site supports, Google’s and Meta’s rules on AI content followed, and every variant judged on results, not novelty.

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Fit

Who it’s for

  • Stores whose Meta, TikTok or Google ads are limited by how few new creatives they can make
  • Brands that want the platforms’ AI creative features used carefully, not switched on blindly
  • Teams with good product photos and videos that need many more variants from them
  • Founders who want to know which AI creative is worth it, and which hurts the brand

Not the right fit if you want AI images that change how your product looks, fake customer testimonials or AI influencers posing as real buyers. They mislead shoppers and break platform and consumer-protection rules.

Problems we fix

Where AI ads go wrong.

  • 01

    The product looks different

    Generated images that change the color, shape or detail of an item lead to returns, complaints and Merchant Center problems.

  • 02

    Platform AI left on default

    Automatic text variations and image edits that add claims you can’t support or cheapen a luxury look.

  • 03

    More ads, no system

    Dozens of AI variants launched at once, with no test plan, so nothing is learned.

  • 04

    Fake people

    AI “customers” and synthetic testimonials, which the FTC’s rule on reviews and testimonials prohibits.

  • 05

    Generic copy

    AI-written ads that sound like every other brand, because nobody gave the tool your voice or facts.

  • 06

    Missing labels

    AI-generated product images submitted without the metadata Merchant Center requires.

In 1:10 · animated

Before we change anything, we check five things.

A short animated walk-through of the first checks in our audit. No sound needed: everything is on screen, and the transcript is below.

What we check first in AI-made ads, an animated explainer of 1:10 with on-screen captions and controls to pause.

Read the transcript
  1. What we check first in AI-made ads Five checks, starting with whether the product still looks like the product.
  2. 1. Does the product look like the real thing? Generated images that change colour, shape or detail lead to returns, complaints and Merchant Center problems. (Example ad set.)
  3. 2. What did the platform AI change? Automatic text variations and image edits left on default can add claims you can’t support or cheapen the look. (Example account.)
  4. 3. Are the people real? The FTC’s rule on consumer reviews and testimonials bans fake reviews, including AI-generated ones that pose as real customers. (Example ads. Source: FTC Trade Regulation Rule on Consumer Reviews and Testimonials.)
  5. 4. Are AI product images labelled? Merchant Center asks that AI-generated product images keep the metadata that marks them as AI-made. (Example feed. Source: Google Merchant Center image requirements.)
  6. 5. Is there a test plan? Dozens of variants launched at once teach nothing. One question per test, with a budget and a decision date.
  7. Then we fix them, in that order. Want this checked on your ads? The free growth audit covers all five, in writing.

Our approach

AI ads with guardrails.

AI ads start from concepts, not tools. Each month’s creative plan sets the angles to test (a problem, a benefit, an objection, an occasion, social proof), drawn from reviews, customer questions and past results. AI then helps us make more of each concept: hooks, headlines, primary text, cut-downs, sizes and edits. The idea and the decision stay human; the volume comes from AI.

Product imagery follows one rule: the product is never altered. AI can extend a background, change a setting, resize for a placement or remove a distraction, but the item itself stays as it really is. Google Merchant Center’s page on AI-generated content requires AI-generated images to keep their IPTC DigitalSourceType metadata, and we keep it. For jewelry and luxury goods, where buyers judge detail, this matters even more.

The platforms’ own AI is powerful and needs settings. Meta offers generative AI features such as text variations, image expansion and background generation, and says advertisers are responsible for previewing AI-generated creative before publishing. Google’s Performance Max can generate assets from prompts and your site. We switch on what helps your brand, switch off what doesn’t, and review generated assets regularly.

Testing is where AI ads earn their keep, and where most AI ad creative programs fall short. Variants go out in structured tests: one variable at a time where possible, enough budget per variant to read a result, and a decision date. We judge winners on cost per purchase and contribution margin, not clicks, and log every test so lessons carry into the next brief, the same discipline as our ad creative production service.

Video is the fastest-growing part. AI helps with captions, translations, resizing for Reels, Shorts and TikTok, and simple motion from real product photos. We avoid AI avatars and deepfake spokespeople: disclosure rules apply, and buyers of considered products react badly to them.

For AI ads, your brand voice is written down before any AI tool writes a word: tone, words you use and avoid, claims that are allowed, and examples of ads that sound like you. That guardrails document goes into every brief and every tool, so AI ads sound like your brand rather than like every other advertiser using the same tools. It’s updated after each round of tests, as we learn which words and angles your buyers respond to.

Finally, compliance. Claims in AI-written copy must match what your site and product data say; reviews and testimonials must be real, as the FTC rule requires; and each platform’s ad policies apply to AI content as to any other. A person checks every ad before it runs.

AI ads guardrails: what AI may change (backgrounds, formats, copy variants) and what never changes (the product, real reviews, supported claims)
What AI may change, and what never changes.

How we use AI here

Where AI helps (and where it doesn’t).

  • Copy and hook variants

    Many hooks, headlines and primary text options per concept, edited by a person for accuracy and voice.

  • Resizing and editing

    Backgrounds extended, formats adapted for each placement, captions and translations, without altering the product.

  • Creative analysis

    AI helps tag each ad by hook, format and angle so the monthly report shows what wins.

Where it doesn’t help: inventing products, people or proof. No altered product images, synthetic customers or AI testimonials, ever.

What’s included

Deliverables, not promises.

  • Monthly creative plan

    Concepts and angles to test, drawn from reviews, questions and past results.

  • AI-assisted production

    Hooks, copy, sizes, edits and simple motion from your real product content.

  • Platform AI settings

    Meta and Google generative features set deliberately, with generated assets reviewed.

  • Guardrails document

    Your rules for AI: what can change, what never changes, claims allowed, voice.

  • Structured testing

    Variants tested with budgets and decision dates, judged on cost per purchase.

  • Creative report

    Winners, losers and why, tagged by hook, format and angle.

Platform AI features in AI ads: Meta text variations, image expansion and background generation, Google Performance Max asset generation
The platforms’ AI, set deliberately.

How we run it

Four steps, in this order.

Concepts first, AI for volume, tests for decisions. Typical timing: the plan in the first week, the first ads within 2 weeks, and the first test read after 2 weeks of spend.

  1. Step 1

    Plan

    Concepts and angles chosen from data and customer language.

  2. Step 2

    Produce

    Variants made with AI assistance and checked by a person.

  3. Step 3

    Test

    Structured tests with budgets and decision dates.

  4. Step 4

    Learn

    Results tagged and reported; next month’s brief written from them.

Four steps of our AI ads process: plan, produce, test, learn
Plan, produce, test, then learn.

Pricing

Starting prices, in US dollars.

The audit is free. Paid work starts at these prices, and your exact cost is fixed in writing before any work begins.

  • Free audit

    Free no obligation

    Tell us your ad spend and we will show where AI fits.

    Get my free audit
  • Fixed scope

    AI ads setup

    From $500 one-off

    Campaigns built with AI targeting and creative testing.

    • Campaign structure built
    • AI creative variants
    • Tracking verified
    Start with the free audit
  • Monthly AI ads

    From $500 monthly, plus ad spend

    Management and creative testing each month.

    • Weekly optimization
    • New creative tests
    • A monthly report
    Ask about this option

All prices are starting prices in US dollars. Custom work beyond these options is quoted after the audit.

By industry

What changes for your category.

  • Jewelry

    For jewelry, AI changes settings and formats, never the piece. Detail, scale and true color must stay exactly as they are.

  • Fashion & apparel

    Fashion brands get the most from AI variants: many products, many angles, fast-changing collections to test.

  • Luxury & high-ticket

    For luxury and one-of-a-kind items, AI helps with copy and formats; imagery stays real and restrained.

Sources

The documentation we work from.

Platform rules change. These are the official pages we check the work against, so you can check it too.

FAQ

Straight answers.

Can’t find yours? Ask on WhatsApp or by email and we’ll answer it.

What are AI ads?

Ads made with the help of AI tools: more hooks, copy, sizes and edits per idea, plus the ad platforms’ own generative features. The ideas, product truth and final checks stay human.

Should we turn on Meta’s and Google’s AI creative features?

Some of them, deliberately. Text variations and format adjustments often help; edits that change the look of premium products often don’t. Meta says advertisers are responsible for previewing AI-generated creative.

Can AI create product photos for our ads?

AI can change backgrounds, settings and formats, but the product must stay exactly as it is. Altered product images mislead buyers and can break Merchant Center rules.

Do AI-generated images need labeling?

For Google Merchant Center, AI-generated images must keep their IPTC DigitalSourceType metadata. Platforms also have their own disclosure rules for realistic synthetic content.

Will AI ads perform better?

Not automatically. AI makes more variants cheaper; structured testing finds the ones that work. Results depend on the concepts and the product.

Can we use AI-generated testimonials?

No. The FTC’s rule bans fake and AI-generated consumer reviews and testimonials. We use real reviews and customer content, with permission.

How many AI ads variants should we test?

Fewer than most tools suggest. A handful of variants per concept, each with enough budget to show a result, teaches more than dozens of ads spread thin.

How is this different from your ad creative service?

It’s the same discipline with AI used for volume. Ad creative production covers strategy, shoots and testing; AI ads adds AI-assisted variants and the platforms’ generative features, with guardrails.

Related guides

Read before you decide.

All Meta Ads guides

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