Finding White Space with Agentic AI | Wonderflow x ESOMAR AI Tools Series

Most brands enter crowded categories hoping clever copy or a bigger media budget will do the heavy lifting. That's the "me-too trap," and in hyper-competitive markets it rarely works. The better question: what if your next unique selling point is already written down in public consumer feedback, and everyone is ignoring it?

In this session, Elisabetta Pisani, Solutions Consultant at Wonderflow, demos how Wonderflow's agentic AI compresses weeks of category and competitor research into minutes. Using the premium pet food category as a live use case, she prompts the AI to surface three white space opportunities in dry dog food, then validates the strongest one (resealable packaging) through competitor benchmarking at both the KPI and insight level.

What you'll see:

• How the AI interprets intent, selects the right analytical approach, and runs category analysis on its own
• White space discovery grounded in real consumer pain points, with product and marketing recommendations attached
• Competitor benchmarking that exposes where market leaders have high visibility but low satisfaction
• Why every output is auditable and traceable back to specific metrics and feedback records
• What separates an agent built on a validated, VoC-native intelligence layer from a generic LLM

The takeaway: organizations using agentic VoC analysis shift from reactive triage to anticipating market gaps, cutting time to market and building products against demand consumers have already expressed.

Want to see it on your own category? Book a demo with our team.