Live Podcast: Live: Seen. Chosen. Proven: How Brands Win the Agentic Commerce Decision with NIQ

AI is changing more than how shoppers search. It is increasingly shaping which products are understood, surfaced and recommended, which raises a new question for brands: how do you stay visible, competitive and commercially accountable when an AI system helps make the decision?

Join The FMCG Guys and NielsenIQ for this LinkedIn Live conversation, the next step after our earlier episode, Agentic Commerce: From Search to Conversations. That episode explored how commerce is moving from search to AI-driven conversations. This one asks what it takes to compete within it, using a practical framework: Seen. Chosen. Proven.

The experts will examine what makes product information legible to AI, what earns relevance and trust at the point of recommendation, and how brands can begin connecting AI-driven visibility and influence with traffic, purchase and measurable growth.

Hear from Laura Hyland, Global SVP, Ecommerce Solutions at NIQ, Neel Arora, Global Head of eCommerce at Nestlé and hosts Daniel Torres Dwyer and Efrain Rosario. The session runs 45 to 60 minutes and includes live audience Q&A.

What You’ll Learn

SEEN: Becoming legible and discoverable to AI

How shoppers describe their needs, and why product information should reflect the way they ask questions
Why structured, accurate and consistent product records are becoming essential for AI-led discovery
The risk of silent exclusion when AI cannot interpret a product, and where visibility gaps may sit across the digital shelf

CHOSEN: Earning relevance, trust and recommendation

The difference between being legible and being competitive
How AI may compare options and narrow choices, and why ratings, reviews, claims and availability matter alongside brand strength
What brands can do now to prepare for AI-assisted and agent-led decisions

PROVEN: Building commercial evidence

How to establish category and brand exposure and recommendation baselines
Emerging indicators such as share of conversation and share of recommendation
How AI discovery and recommendation may be connected with traffic, verified purchase and incremental value over time, as end-to-end attribution develops

You’ll leave with a practical way to prioritise action as agentic commerce develops. Readiness is a progression, not a single technology implementation.

Who Should Attend