AI Creative Testing
Higgsfield, Veo, Sora, Kling, Nano Banana, Midjourney — generating ad creative is now nearly free. Picking the variation that deserves your media budget is not. Here's the feedback loop that turns cheap generation into ads that actually hold attention.
A year of production budget now fits in an afternoon. Text-to-video models turn a prompt into a polished ad concept in minutes, and image models iterate on a static in seconds. But the feed didn't get easier — it got more crowded with exactly this kind of content. When everyone can produce twenty variations, the advantage moves from who can make ads to who knows which ad to run. That's a selection problem, and taste alone doesn't solve it.
AI output is polished by default — good lighting, clean motion, coherent scenes. None of that predicts attention. A gorgeous Veo clip can lose viewers in the first second because the opening frame doesn't categorize; a rough UGC-style cut can beat it by triple. Polish and performance are different axes, and pretty creative that doesn't convert is the most expensive way to learn that. The failure modes cluster in the first frame and first three seconds — precisely the part AI models optimize least.
The workflow that works: generate a batch of variations, upload each to PreTestAds, and get a predicted attention score benchmarked against 76 top-performing TikTok ads — plus Hook Strength, the exact second attention drops, and your peak frame. Then feed that report back into your generation prompt: "attention drops at second 4 when the scene changes — hold the product shot longer." Regenerate, re-score, repeat. Each round takes minutes and costs a credit, not a media budget. Teams running this loop routinely move creative from weak to strong in 2–3 iterations — we did it to a real KAYAK banner, 5/100 to 88/100 in three rounds, with every version shown.
Each generator has its own strengths and its own failure modes in the feed. We've broken down the testing workflow per tool: Higgsfield for cinematic camera-motion ads, Google Veo and Sora for text-to-video, Kling and Seedance for motion-heavy short-form, Runway for edited hybrid cuts, Nano Banana and Midjourney for static ad images, and HeyGen for AI-avatar UGC ads.
If you're generating at volume, you don't need to babysit the scoring either. PreTestAds exposes a pay-per-call API for AI agents — an agent can generate a variation, POST it for scoring, read the attention data, and regenerate, with no account or API key. The creative loop becomes fully autonomous: your pipeline produces ads overnight and hands you the strongest three in the morning.
Upload your variations and see which one holds attention — first analysis free, no credit card.
Test Your AI Ads