Comparison
Dragonfly AI and PreTestAds are both predictive, both instant, both panel-free — and they answer two different questions. Dragonfly predicts where the eye lands. PreTestAds predicts whether the brain stays. Knowing which question you're asking is the whole comparison.
Dragonfly AI generates saliency heatmaps — science-backed predictions of where human vision is drawn in the first moments of exposure. It's fast, visual, and particularly strong for packaging, shelf layouts, retail media, and static design: move the logo, rerun the heatmap, watch the hierarchy change. For spatial questions — is my product the first thing people see? — saliency is exactly the right instrument.
A heatmap is a snapshot; an ad is a timeline. PreTestAds' AdCortex™ model — trained on fMRI brain-response data — predicts engagement over time: a second-by-second curve, Hook Strength for the opening, the exact second attention collapses, and a percentile score against 76 top-performing TikTok ads. A video can win every saliency test frame-by-frame and still bleed viewers at second four because nothing rewards the watch — that failure is temporal, and only a curve can show it.
For static ads the tools overlap more — and pair well. Dragonfly tells you where the eye goes within your layout; PreTestAds tells you how strongly the whole image holds engagement versus top-performing ad creative (we convert statics to a 10-second stimulus — see packaging testing). Fix hierarchy with the heatmap, then verify the fixed design actually competes with the ads it will sit next to.
Choose Dragonfly if your work is packaging, shelf, and static layout at enterprise scale. Choose PreTestAds if your money rides on video ads holding attention to a CTA — especially short-form — or you want one self-serve, per-credit screen across batches of AI-generated variations with a benchmark verdict instead of a heatmap to interpret.
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