data feed audit

Beyond Product Data Feeds – Winning the Shift to Agentic Commerce

Product feeds are evolving from basic product attributes for compliance, to intent-driven data for AI shopping agents. AI Shopping discovery relies on machine-readable product data and crucial trust & intent signals – not just keywords. Low data quality leads to product disapprovals, reduced visibility, and a lower return on ad spend (ROAS).

This session will show you how to prepare for Answer Engine Optimization in the new era of Agentic Commerce, so your product data is competitive and optimized for the future of commerce.

Date/Time:
UK/US Session: March 4, 4pm GMT/ 11am EST
APAC Session: March 5, 11am AEDT

Duration:
45 minutes (30-minute discussion, 15-minute Q&A)


Key Takeaways

We’ll cover practical steps you can undertake today, including how to:

  • Understand the foundations of Agentic Shopping: Get a clear view of myths and truths and what you can action right now vs how you need prepare

  • Fix common data quality failures: Implement practical checks and complete audits powered by AI, to identify and resolve issues at scale.

  • Create agent-ready product data: Learn automated attribute enrichment and title strategies designed to align with how AI ranks products.

  • Experiment to scale winners: See how to run SKU-level A/B tests to see what data drives the highest conversion and methods to scale successful variants.


Meet The Speakers

Stephanie Brown

Head of Product

Linkedin

Mark Batson

Senior Director, Enablement

Linkedin

Save Your Spot

Register now. Seats are limited.

Register to receive the live demo, a practical checklist, and an opportunity to ask product feed questions during Q&A.

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