Alternatives
Dragonfly AI is a first-rate saliency instrument. The reason to look elsewhere is rarely quality — it's that your question changed: from where eyes land on a frame, to whether thumbs keep scrolling past your video.
Saliency answers the first-moments spatial question brilliantly. But feed advertising lives or dies over time: the first frame gets the stop, the next seconds keep it — and a heatmap can't tell you your ad loses everyone at second four. Teams also weigh enterprise pricing against how much of their work is really spatial, and whether a percentile against winning feed ads would be more decision-useful than a hierarchy map.
PreTestAds measures what saliency can't: AdCortex™, trained on fMRI brain-response data, predicts engagement second by second and scores your ad as a percentile against 76 top-performing TikTok ads — Hook Strength, the exact drop-off second, the peak frame for your thumbnail, and the full curve. Minutes per test, from $49/month, first analysis free. It also handles packaging and statics via a 10-second stimulus conversion. Head-to-head: PreTestAds vs Dragonfly AI.
Same category as Dragonfly, smaller footprint: predicted heatmaps, clarity scores, and percentage-of-attention metrics priced for individual designers and small teams. If Dragonfly's enterprise packaging is the friction, this is the light version. Comparison: PreTestAds vs Attention Insight.
Neurons' Predict brings eye-tracking-validated heatmaps with brand norms and enterprise workflows — the research-department version of the heatmap category, strongest where stakeholders want validation history behind the colors. Comparison: PreTestAds vs Neurons.
Some Dragonfly evaluations are really governance projects in disguise: thousands of assets, dozens of teams, brand rules to enforce. CreativeX scores creative compliance against codified best practices at that scale — a different tool for a different failure mode. Comparison: PreTestAds vs CreativeX.
Ask where your money actually leaks. Products invisible on shelf → stay with saliency. Feed videos swiped before the offer lands → you need hook and hold diagnostics, benchmarked against ads that won the format. Off-spec assets slipping into flight at scale → governance. The label "attention tool" covers all three; the failure modes don't overlap at all.
Second-by-second engagement in minutes — first analysis free.
Test Your Ad FreeFor video ads, PreTestAds — second-by-second engagement prediction benchmarked against 76 top TikTok ads, from about $2 per test. For a cheaper saliency heatmap, Attention Insight. For heatmaps with deeper research norms, Neurons.
Dragonfly excels at spatial saliency — packaging, shelf, retail media, static design. Video feed ads fail temporally: viewers swipe at a specific second. That diagnosis needs an engagement-over-time model rather than a first-moments saliency map.
If you ship both packaging/static design and feed video, yes — they answer different questions. If your spend is concentrated in feed video, the engagement model is the one that gates the money.