AdsGenie

AdsGenie is a generative video tool. AdsGenie lets marketers pick a premium brand-ad template from an industry-filtered gallery and remake it around their own product as a short AI video, with each generation charged in credits.

AdsGenie is a web tool for producing short product ad videos by starting from existing brand-ad templates instead of a blank prompt. Visitors browse a large gallery of template clips, each shown with a poster frame, and pick a direction that matches the look they want. The tool then remakes that direction around the user's own product. The gallery can be narrowed by industry. Listed sectors include food and beverage, consumer electronics, apparel and footwear, beauty and personal care, financial services, automotive, home and living, healthcare, pet care, sports and fitness, software, gaming and toys, education, travel, telecommunications, energy and retail. A search box accepts a product or category name, which helps when the shelf of templates is long. The samples on the homepage lean heavily toward fashion and accessories: outfit changes, sneaker try-ons, jewelry unboxings, packing demonstrations, watch close-ups and haul-style creator clips. In practice, the workflow is template first. A user chooses a reference clip, then generates a version for their item. The interface shows a generation setup with a video model named Seedance 2.5, a 16:9 aspect ratio, 720P resolution and a 5 second length. The cost of that generation is displayed in credits, with 150 credits shown for the example configuration, so output is metered rather than unlimited. A separate pricing page exists for plan details, though the homepage itself does not state plan prices. The tool suits e-commerce sellers, small brand teams and social media marketers who need many short product videos and lack a studio or a creator budget. Borrowing a proven structure, such as a try-on sequence or an unboxing, removes most of the scripting and storyboarding work. Compared with general text-to-video generators, the template-led approach trades open-ended flexibility for a faster, more predictable starting point. Compared with UGC-style ad platforms that rely on avatars, it centers on remaking specific reference ads. Buyers should check the credit costs against their expected volume before committing.