The Agentic-ready Catalog: How LLMs and Shopping Agents Read Your Catalog (And Why Most Brands Are About to Go Invisible)
For eCommerce Directors, CMOs, and heads of digital commerce that want to understand the layer beyond SEO and GEO — how autonomous shopping agents now decide which products enter their candidate set, and how to make sure theirs are in it.
The next reader of your product catalogue isn’t a human on Google. It isn’t even a language model writing an answer. It’s an autonomous shopping agent parsing your product data against a structured intent — waterproof trail shoe, size 42, under €120, ships to Spain — and if any attribute is missing, ambiguous, or unverifiable, the product isn’t ranked lower. It’s silently excluded from the candidate set entirely. No penalty. No second chance. Not considered.
This session introduces the layer beyond SEO and GEO — agentic-ready product data — and shows why retailers optimising hard for AI answers today are still going to lose in the next round. Drawing on real, practical examples from multi-brand retailers Semantico works with today, Quique walks through the four concrete gaps between where most catalogues sit and where they need to be for autonomous agents, and makes the case for why the traditional PIMs built for storage and syndication are structurally the wrong tool. The system retail needs next is an AI-native PIM: designed to generate, normalise, and expose product data at machine-decision-ready quality.
What you can expect to take away:
- The three-stage evolution of product discovery — SEO (ranking for humans), GEO (getting cited by AI answers), and Agentic (being selected by autonomous agents) — and why most retailers are optimising for a battle that’s already moved on
- The four concrete gaps between a healthy-looking catalogue and an agentic-ready one — attribute completeness, machine-first output surfaces, comparison and compatibility content, and trust and verification metadata
- A real case study: how one multi-brand retailer launched a full new vertical of 8,361 SKUs in seven days with a single catalogue manager, and what agentic-ready catalogue operations look like at scale
- What separates an AI-native PIM from the catalogue systems most retailers run today, and how to tell whether yours is built for agentic-era demand or legacy syndication — plus the Catalog Maturity Quiz you can take at our stand to see where your catalogue sits today
Level it’s for: Director / Head of / C-level
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