The tool, called LaunchSignals, examines signals such as consumer reviews, search behaviour, cultural trends, social and digital conversation, large language model (LLM) visibility and competitor activity.

This analysis is then used to identify what stands out, or otherwise, about a product in comparison with competitors or previous launches, provide recommendations on areas such as messaging, pricing and promotion, and use lessons from previous launches to inform decisions about future projects.

Kantar and Quilt.AI have had a strategic partnership in place since March 2026, and previously released innovation tool EvaluateExplorer.

LaunchSignals covers Australia, Brazil, Canada, France, Germany, India, Ireland, Italy, Japan, Mexico, Netherlands, Poland, Singapore, South Africa, Spain, Sweden, United Arab Emirates, the UK and the US. It will expand to near-global coverage in 2027.

Dr Nicki Morley, global innovation lead at Kantar, said: “Sales data doesn’t tell a marketer what people think about their new product, why they’re responding as they are, or what they could still change.

“Because these early signals can also shape how a product appears in AI-generated answers and influence how consumers discover it, there’s an additional reason to get this right.”

Dr Angad Chowdhry, co-founder at Quilt.AI, said: “AI is not equal to LLM, is what this product beautifully demonstrates.

“Brands can waste millions of dollars in marketing if they are not able to understand instantly which products are being well received.”