Comparison
Both predict where eyes go. One is priced like a design plugin, the other like an enterprise platform — and the honest question is whether your decisions need the difference.
Accessibility. Upload a design, get a predicted attention heatmap, clarity score, and attention-percentage on your key element in minutes, at prices individuals and small teams can carry. For landing heroes, UI reviews, and static ad layouts, it turns a debate about where the eye goes into a two-minute check.
Depth where retail money moves: packaging, shelf layouts, and retail media, with a fast rerun loop for iterating visual hierarchy and the enterprise trappings — validation story, support, client credibility — that big-brand engagements require. If the deliverable ends up in a major retailer's aisle, this is the tier the meeting expects.
Price and time-to-value: Attention Insight. Retail-specific workflow and enterprise fit: Dragonfly. Core accuracy: closer than the price gap implies — both stand on mature vision science. The practical test: if a self-serve subscription would get expensed without a meeting, start there; if the decision needs to survive a client boardroom, the enterprise tier is part of the argument.
Neither tells you whether a video holds. Feeds kill ads in time, not space — a specific second, per viewer, at scale. PreTestAds measures that: AdCortex™, trained on fMRI brain-response data, returns a percentile against 76 top TikTok performers, Hook Strength, the drop-off second, and the full attention curve, in minutes, from about $2 per test, first free. Full comparisons: vs Attention Insight · vs Dragonfly AI.
Designer or growth team on statics → Attention Insight, and bank the savings. Retail/packaging organization → Dragonfly. Video-first advertiser → pick your heatmap tier for the statics, but put the primary budget gate on the format where your spend actually lives.
Engagement over time, benchmarked against winners — first analysis free.
Test Your Ad FreeAttention Insight for self-serve speed and designer-friendly pricing on landing pages, UI, and static ads. Dragonfly AI when the decisions are packaging, shelf, and retail media at brand scale — and the budget matches an enterprise engagement.
Modern saliency models trained on eye-tracking data cluster closer in accuracy than their price gap suggests. What you're mostly buying at the higher tier is workflow fit, validation history, client-facing credibility, and support.
Time. A saliency map predicts the first moments of visual attention on a frame; it can't say whether engagement survives to second 10 or when viewers swipe. Feed video needs an engagement-over-time score benchmarked against winning ads.