NIQ Expands Shopper Experience Platform to Improve Product Discovery in AI-Powered Shopping
NielsenIQ (NYSE: NIQ) today announced new optimization capabilities for its Shopper Experience Platform, supported by its CONTENT Framework, a seven-pillar approach to evaluating and improving product content. Together, they enable brands to evaluate product content and imagery against retailer requirements and category expectations, identify gaps, and prioritize improvements that strengthen product discovery across retailer sites, search engines, and AI-powered shopping channels.
A product can be accurate, complete, and retailer-compliant yet still be difficult for shoppers to find, understand, or choose. This challenge is growing as AI assistants, retailer algorithms, and recommendation engines play a larger role in shopping. According to NIQ’s Consumer Outlook: Guide to 2027, 55% of global consumers report having been influenced by AI tools or assistants when making household and grocery purchases, while 65% report being influenced by products recommended or ranked on retailer and shopping platforms.
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As a result, brands need content that is not only accurate and compliant but structured to help shoppers and the technologies influencing their decisions discover, evaluate, and differentiate products.
The CONTENT Framework gives brands and retailers a shared way to identify content gaps and prioritize improvements across seven pillars:
- Complete
- Optimized
- Normalized
- Trusted
- Enriched
- Nurtured
- Traceable
“Brands work hard to get their product content right. The challenge is making sure it helps people find and choose their products, especially as more shoppers turn to AI for advice,” said Marsha McGraw, Global Head, Partnerships & Verticals, NIQ. “Our customers want to know where to focus and what will make a difference. We’re helping them spot gaps in their content and prioritize improvements that make it easier for shoppers to understand what a product offers and whether it meets their needs.”
New capabilities within the Shopper Experience Platform help brands apply the CONTENT Framework across their product portfolios. The platform evaluates product information and digital assets, including imagery, against retailer requirements and category expectations. It then identifies missing, inconsistent, or insufficient content, helping teams prioritize improvements that can strengthen product discovery, shopper understanding, and digital shelf performance.
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For example, when a shopper asks an AI assistant to identify a high-protein, minimally processed snack, clearly and consistently described ingredients, nutritional information and other important attributes help the assistant evaluate which products match the request. The Shopper Experience Platform can help brands identify when that information is missing or insufficiently represented, giving teams a clearer view of where content requires attention.
As part of The Full View™, the Shopper Experience Platform connects product content creation, optimization, and syndication with measurement. This gives customers a clearer path from identifying content gaps to prioritizing improvements and measuring impact, helping them understand not only whether product information is complete, but how effectively it supports discovery and shopper engagement.
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