Yabble launches AI persona image-based testing for creative concept validation

Yabble uses AI personas to pressure-test your visuals

6 October 2025 - UK. Yabble, the AI-led market research company now part of YouGov, has launched an AI image-based testing tool inside its Virtual Audiences platform. It lets you upload static creative assets and get instant feedback from AI personas that mirror your target customers.

What it does

• Uploads static images and returns persona-specific reactions in minutes.
• Surfaces which visual elements drive appeal and purchase intent.
• Offers practical suggestions to improve underperforming concepts.

Why it matters for creatives

• Speed: screen early concepts without booking panels or waiting on fieldwork.
• Clarity: see which parts of the layout, color, copy, or imagery are working.
• Confidence: iterate before production, reduce rework, and walk into reviews with evidence.

Use cases

• Concept testing across packaging, ad campaigns, and new product ideas.
• Exploration of creative territories and alternative design routes.
• "What if" scenario forecasting to stress-test variations pre-launch.

Where it fits

The tool sits within Virtual Audiences, Yabble's concept testing environment covering packaging designs, advertising, and product concepts. It's built to bridge the gap between mood boards and live market tests, giving you directional signal fast.

What Yabble says

Kathryn Topp, chief executive and founder at Yabble, said: "For the first time, Yabble users can test creative with AI personas that can comprehend and react to concept images. Our AI image-based concept testing is fast, scalable, and gives clients the confidence to move from concept to execution with clarity."

Context

New Zealand-based Yabble was acquired by YouGov last year for around £4.5m to accelerate AI across its data products. The launch extends that push into creative testing workflows.

Try this workflow

• Upload a set of static options and pick 2-3 target personas.
• Review the appeal/purchase intent drivers and persona comments.
• Refine headlines, hierarchy, imagery, or pack claims based on the signals.
• Re-run with variations and shortlist winners for further quant or qual.

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