AI-Generated Design Impact Modeling
This application area focuses on measuring and predicting how consumers respond to products, packaging, branding, and marketing materials that are created or assisted by generative AI. It combines behavioral data, experimentation, and predictive modeling to understand how AI-designed logos, packaging, product styling, advertisements, and digital interfaces affect perceptions of quality, trust, authenticity, and purchase intent. The goal is to turn what is currently a design and branding gamble into a data-driven decision process. As brands increasingly use generative tools in creative workflows, they risk consumer backlash, erosion of trust, or perceived “cheapening” of products if AI involvement is misjudged or poorly positioned. AI-generated design impact modeling helps companies identify when AI-created designs attract or repel consumers, which audiences respond positively, and how to message or label AI involvement to avoid trust issues. By systematically testing and forecasting consumer reaction, firms can safely scale AI in design while protecting brand equity and maximizing revenue lift from higher-performing creative.
The Problem
“Predict consumer response to AI-generated packaging, ads, and brand designs”
Organizations face these key challenges:
Design reviews are subjective and inconsistent across teams and markets
A/B tests are too slow/expensive to cover many AI-generated variants
Brand risk: “AI-looking” designs reduce trust or authenticity without warning
No single score ties creative changes to purchase intent, conversion, and retention
Impact When Solved
Real-World Use Cases
AI-Generated Product Design and Consumer Response Patterns
This research looks at what happens in shoppers’ minds when a product is designed by AI instead of a human designer—how it changes what they notice, how much they like it, whether they trust it, and if they’ll actually buy it.
AI-Generated Product and Design Content in Consumer Markets
Think of this as a research-based playbook that explains how people react when what they see, buy, or interact with was designed by AI instead of a human. It doesn’t build an app; it tells you what to expect from your customers’ brains and emotions when you roll out AI-designed products, packaging, ads, or interfaces.