Why do AI ads all look the same, and how do you make yours look like you?

• Gaps get default answers. Leave the light, the lens and the palette out of a prompt, and the model picks them for you. Every brand that leaves them out gets a similar pick.
• Keywords instead of scenes. Google's own advice for prompting its image models is to describe the scene instead of listing keywords (Google for Developers, August 2025). "Premium, clean, modern" is the kind of prompt that advice warns against.
• Borrowed boards. A mood board pulled from the same trend references, with its objects copied into the scene, gives several brands the same picture.
• Too little thrown away. The first acceptable render gets used, defaults and all.

The prompts behind the photos we kept from four campaigns built by hand in 2026 ran about 140 to 200 words on Nano Banana models and about 300 on GPT Image. The Nano Banana ones followed one order:

1. The subject and a pointer to the reference image.
2. The background, named with a hex color.
3. Light, described as something falling on a surface.
4. The palette, as names plus hex codes.
5. One sentence of camera and lens.
6. A separate sentence about grain.

Here is one, from an apparel close-up on a model:

A tight chest crop of the model shown in the reference image wearing the exact striped henley pullover from the reference, two wood-grain henley buttons visible at the placket, drawstrings resting asymmetrically across the chest, subtle woven patch on the left breast, subtle natural breathing shaping the drape. Background is a softly out-of-focus Sea Foam White #F2F5F8 seamless cyclorama falling completely away to push all attention onto foreground fiber. Hard raking natural daylight enters at a 45-degree angle across the chest, carving the herringbone weave and revealing the muted dusty mauve and Faded Sky Blue #B0C4DE threads inside the stripes. Shot on a 100mm macro lens at f/4, hyper-crisp focus riding the button and the adjacent thread structure, 1:1 square crop centered on the placket. Digital medium-format color profile graded toward Kodak Portra 400, clean near-zero grain, balanced contrast preserving honest shadow detail inside the fabric folds, natural saturation emphasizing the washed, lived-in heavyweight cotton texture.

A kept Nano Banana 2 prompt, about 150 words. Lightly edited: brand names removed.

The decisions that make it look like one brand are specific. The color has a code, the light has an angle, the lens has a focal length and an aperture, and the grain is named.

On our brownie job, all ten kept prompts asked for heavy film grain, and nine carried the same sentence: "Heavy visible film grain throughout." A person added it by hand, prompt by prompt. Only 14 of the job's 120 prompts carry it, so nine of the ten keepers share a sentence that 106 of the job's prompts left out.

Pull your best existing images and write down what they share: the palette as hex codes, where the light comes from and how hard it is, the lens, the grain, and how things are styled. That list is your visual DNA, and it goes into every prompt. Overs' guide to visual DNA has a template for writing it down.

Then give those rules the final say. In Overs, brand rules are applied last in the ten-step run, and the quality check only checks the work against them. It never rewrites the art direction.

If several brands copy the objects from the same trend images, they end up with the same scene. Take the light, the mood and the pace from a board and leave the objects behind. Overs reads a board of up to twelve images plus a note for its feeling and applies that to your product in your brand's style, and a dial decides whether your brand's own look or the board leads.

An image model drawing a headline picks the letterforms itself. Set type in a separate pass, in your own fonts and grid. Overs does this in its own typography step, setting a headline, subline and button on a finished photo and keeping the clean version. On the ad side, what makes a good static ad covers layout and hierarchy.

In our four hand-built campaigns, 361 renders produced 45 keepers: 3.2 renders per keeper on gummy supplement ads, 3.6 on trousers, 12.0 on brownie ads and 13.6 on a surf campaign carried across three scenes. Somebody compared each render with the brand and threw away 316 of them.

In Overs, those decisions stay on record. Approvals and rejections with reasons become brand memory, and a note that fixed an approved photo is remembered. Brand Watch reads the brand's recent Instagram posts so the look stays current, on request once a month on the free plan, weekly on Pro and daily on Team.

Overs was built on the process behind those 45 keepers, and it is what our team makes its images in today. It records your visual DNA with hex codes, light, lens, grain and styling, applies your brand rules last, and shows the shot plan and the cost before anything renders. For anything worn or held, you approve a character sheet first, so the same model appears in every photo. At our average of 8 tries per keeper, a usable photo costs $0.27 to $1.69 in AI fees.

Overs is our sister product, made by 100 Creatives' founder. Try Overs free at www.overs.studio. The free plan makes 40 photos a month, with the AI billed on your own OpenRouter key and no markup from Overs.