AI-generated ads need the same product truth, brand judgment and production checks as any other campaign. Faster generation makes a review system more valuable because mistakes can multiply as quickly as variations.
Check the claim before the craft
Compare every headline and visual implication with the actual app. Does the ad suggest a feature that is not available, an unrealistic result or a level of automation the product cannot deliver? A technically polished asset can still be misleading.
Use approved product facts as the foundation of the brief. Specify prohibited claims and any qualifications that must appear. Do not expect a generation tool to infer the commercial boundaries correctly.
Inspect the visual details
Review text, hands, interface elements, device proportions and brand marks at full size. If an asset depicts the product interface, compare it with a current build. Decorative AI imagery should not be mistaken for an actual screenshot.
Check readability at placement size and the crop used by each format. Keep important content away from areas likely to be covered by platform controls.
Review rights and representation
Document the origin of inputs and whether your team has the rights required for the planned use. Avoid implying a person endorses the app unless that endorsement is real and authorized. Synthetic testimonials should not be presented as customer experiences.
Use a human decision-maker for ambiguous cases. A second AI check can help identify issues, but it should not become the sole authority on whether an asset is accurate or appropriate.
Make approval traceable
Record the approved version, destination, reviewer and restrictions. Tie the final export to the concept that will be measured. If a later variation changes the claim or depicted capability, send it through review again.
An efficient workflow does not remove judgment. It concentrates judgment where it matters: the promise being made, the product being represented and the people being asked to trust it.