Description
This prompt instructs an AI to evaluate advertisement layouts and predict audience reactions based on design, messaging clarity, and psychological impact. The model must analyze each ad’s visual hierarchy, message strength, CTA clarity, and any confusing elements. It must then predict how various audience segments (new vs returning users, price-sensitive vs premium, expert vs casual) are likely to emotionally and behaviorally respond within the first seconds of seeing the ad. The AI identifies positive and negative reaction drivers, including attention flow, trust signals, skepticism triggers, and stopping-power elements. It must assess potential engagement and conversion risks and highlight issues such as clutter, weak hierarchy, unclear value proposition, or tone mismatches. Finally, it must provide concrete, prioritized recommendations to improve layout, messaging, and effectiveness, with an emphasis on perception, behavior, and decision-making rather than aesthetic critique.



Content Writing 
Business & Marketing 
Coding & Development 
Customer Support & Sales 

Productivity & Automation 
Design & Creativity 

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