The same presenter, twenty hooks, no shoot
UGC ads work because they look like a person talking, not like an ad. The cost is that testing twenty hooks means twenty briefs, twenty creators, and a week of waiting before you learn which one works.
With a saved AI presenter, the variable is the script alone. Build the character once, then render each hook against the same face, the same room and the same wardrobe — so the test measures the message rather than the casting.
Your presenter is a character: up to 30 reference photos that travel with every render. Outfits can be generated from a written description and reused, so a series of ads shares a wardrobe without re-explaining it every time.
Rewrite the opening line, keep everything else, render again. Because credits are shared across every model, drafting on a cheap fast model and finishing the winner on Kling or Veo costs what it should — you are not paying flagship prices to find out a hook falls flat.
9:16 is a first-class aspect ratio, not a crop. Supported models generate audio and lip-sync directly, so a talking-head ad does not need a separate voice pipeline. Clips run to 30 seconds on Seedance 2.5, which covers the great majority of paid social placements.
For volume testing, largely yes — the cost of a twentieth variation drops to a render. For anything trading on a real person's credibility or audience, no. Most teams end up using AI to find the hook and a real creator to scale the winner.
Yes on models that generate audio natively, including lip-synced speech. You can also attach your own audio reference, which must be at least 1.8 seconds long.
Both platforms allow it and both require that synthetic media not be presented as a real endorsement. Disclosure rules change; check the current policy for your market before running at scale.