Start with a testing hypothesis
Each concept should test a meaningful difference such as audience, problem, proof, setting, product benefit, hook, or format.
Protect product truth
Packaging, ingredients, colors, proportions, and regulated claims need reference-based production and human review. Generated images should not imply features or outcomes the product cannot support.
Measure concepts, not volume
Track spend, thumb-stop or hook performance, click-through, landing-page alignment, conversion, fatigue, and learning by creative territory.
Frequently asked questions
Can AI replace product photography?
It can supplement or transform supplied assets, but exact products and sensitive claims may still need photography or careful compositing.
How many ad variants should a brand test?
The useful number depends on budget and traffic. Test enough distinct concepts to learn without fragmenting spend across meaningless variations.
Who owns AI-generated ad images?
Rights depend on the tools, source assets, contracts, and jurisdiction. Commercial usage terms should be reviewed for the selected workflow.