Introduce a passive/active attention prediction metric within LINK AI to estimate how likely an ad is to capture viewers’ attention naturally, without active tasking. This would complement existing effectiveness metrics by highlighting whether an ad is likely to draw attention instinctively in real‑world viewing contexts (e.g. scroll, skip, low‑engagement environments).