Guides
AI-generated ad creative: how to use it, check it and label it
Most ad teams now have an image model somewhere in the workflow, and the rules around it moved in 2026. Meta switched on automated detection of AI in ad media on 1 June, Google changed its overlay policy in July, and the EU's transparency article applied from August.
Most teams use it, fewer consumers are sold on it
IAB's study with Sonata Insights, published in early 2026 as The AI Ad Gap Widens, found that 83 percent of advertising executives say their company uses AI in creative work, up from 60 percent in the December 2024 edition. It also found that 82 percent of advertisers believe consumers feel positive about AI-generated ads, while 45 percent of the Gen Z and millennial consumers surveyed said so themselves.
IAB's advice is to use the tools to raise quality rather than to cut cost. Meta's own figure for its background generation feature, published in 2024, was an 11 percent higher click-through rate on average. The gain came from more relevant settings and more variants to test.
- Hold AI output to the same approval bar as any other creative.
- Assume part of the audience is sceptical, and avoid anything that tries to pass as a photo of a real event.
- Measure AI creatives against your existing ads on the same metrics.
What image models do well, and where they still fail
Models are strong at the parts of a shot that used to need a location, a stylist and a light rig: a kitchen at golden hour, a product on a marble slab. They produce ten plausible compositions from one brief in the time it takes to open a design file.
They are weak at the things an ad cannot get wrong. The product has to stay exact, so most teams drop a real photograph into a generated scene rather than generate the product. Google's generated images help page says its Google Ads tools will not produce branded items or logos unless you supply them as input, and TikTok Shop's AI content policy forbids using AI to alter a product's size, colour, material, quantity or features. Text inside the image is still unreliable, hands and reflections still go wrong, and realistic people bring the labelling problems covered below.
- Generate the setting, the light and the mood. Photograph the product.
- Keep the headline out of the model and add it as a layer you can edit and translate.
- Check hands, reflections and repeating patterns at full size before you shortlist.
Brief it like a designer, and keep it to one step in the chain
A one-line prompt gives a one-line result. A brief that works names the subject, the setting, the light, the camera distance, the composition and where the empty space for the headline sits, plus the format, since square and vertical are different pictures. Write it once and vary one thing per variant, so the test can tell you what worked.
Generation is one link in a longer chain: angles, a brief per angle, a batch per brief, a shortlist, the headline on the shortlist, reformatting, the check below, and upload with whatever label the platform requires. Aduarius covers the generation link: write a short brief, pick one of the eight built-in styles so every variant in the batch shares a look, generate the creative in the format the placement needs, place the headline on the image, and reformat the ones that win into the other ratios. Everything before and after that step stays a human job.
- Decide the angles and write the briefs before anyone opens a generator.
- Shortlist against the brief rather than against taste, then reformat only the winners.
- Save the briefs that produced winners. They start the next round.
The check before an AI image goes live
Start with the product. Compare the creative to the real item for colour, proportion, contents and any feature the ad implies. A generated scene that makes a bottle look larger or a pack look fuller is a misleading ad on every platform, whoever made the pixels. Then check the people and the claims. The US Federal Trade Commission's rule on fake reviews and testimonials took effect on 21 October 2024 and covers testimonials created by generative AI, with civil penalties. A synthetic customer saying nice things is a fake testimonial.
Then ownership. In its copyrightability report of 29 January 2025, the US Copyright Office concluded that prompts alone do not make the person who typed them the author, while a human's selection, arrangement or modification of AI output can be protected. The raw output is probably not yours to defend. The composed ad with your layout, headline and edits probably is.
- Compare the generated product to the real one, side by side, before anything else.
- No invented customers, reviewers or experts, with or without a label.
- Keep the composed file, a note of what a person changed, and the tool's terms for commercial use.
What Meta, TikTok and Google now require
Meta puts an "AI info" label on ad images created or significantly edited with generative AI, through its own creative features or third-party tools. Resizing and colour correction are exempt. Since 1 June 2026 Meta has used automated detection for third-party AI in ad media and says no advertiser action is required. Ads about social issues, elections or politics are the exception: the advertiser must disclose photorealistic AI imagery or realistic audio, and an undisclosed ad is rejected.
TikTok treats AI-generated or significantly AI-modified media as a mandatory disclaimer. A toggle in the ad creation flow, "This ad contains AI-generated content", adds a text label, and an undisclosed ad is rejected or restricted. Lighting, background removal and denoising do not count. Google took a different route in July 2026: it now permits a visible AI label inside image and video creatives without treating it as a text overlay or watermark violation, citing disclosure rules in the EU, India and New York. Assets made with Google's own tools carry a SynthID watermark and C2PA credentials that advertisers cannot overwrite.
- Meta: automatic for commercial ads, self-disclosure for political and social issue ads.
- TikTok: switch on the toggle for any generated or heavily edited media, or expect a rejection.
- Google: label where a regulation requires it, and expect Google-generated assets to arrive labelled.
The EU AI Act from 2 August 2026
Article 50 of the EU AI Act applied from 2 August 2026. Providers of generative systems must mark output in a machine-readable way so it can be detected as artificial, with a transition until 2 December 2026 for systems already on the market. Deployers, including advertisers, must disclose when an image, audio or video is a deepfake: content that resembles real people, objects, places or events and would falsely appear authentic.
For most product advertising this is narrower than it sounds. A generated kitchen behind a real kettle is not a deepfake. A synthetic presenter who looks like a real person is. The Commission published guidelines on 20 July 2026 plus a voluntary code of practice with icons for labelling AI content, and Article 99 caps a breach at EUR 15 million or 3 percent of worldwide annual turnover, whichever is higher.
- Ask whether the image could pass as a real person, place or event. If yes, label it in the EU.
- Prefer tools that embed C2PA credentials, which Meta and TikTok read.
- Get legal advice for anything with a realistic human in it.
Frequently asked questions
Do I have to label AI-generated ads?
It depends on the platform. Meta labels commercial ads itself and requires self-disclosure only for political and social issue ads. TikTok requires the toggle for any ad with generated or significantly edited media. Google allows a label and applies one to assets made with its own tools. In the EU you must disclose deepfakes whatever the platform.
Can an AI-generated ad be rejected?
Yes. TikTok rejects or restricts ads with undisclosed AI content, and Meta rejects political ads that fail to disclose photorealistic AI. Every platform applies its normal ad policies however the image was made, and Google says generative AI assets are not guaranteed approval.
Who owns an AI-generated ad image?
In the United States, the Copyright Office's January 2025 report says a prompt alone does not make you the author, so the raw output may not be protected. Your selection, arrangement and edits can be. Keep the composed file and check the tool's terms.
Can I place my real product in an AI-generated scene?
Yes, and it is the safest way to use the tools. The product must stay accurate. TikTok Shop forbids using AI to change size, colour, material, quantity or features.