FREE WEBINAR

The Rise of Agentic Commerce: Why Store Data Drives AI Sales

AI agents are now the buyer. They don't read your homepage. They parse your catalogue. The brands whose product data is structured, complete, and machine-legible will be the ones recommended, shortlisted, and bought from. The rest will quietly stop appearing in the consideration set. This session shows you exactly where to start.

HOSTED BY

Karthick Kalimuthu (CTO & Agentic AI Architect),
and Ed Keibler (VP of eCommerce)

June 4th 2026

11:00 AM PST / 2:00 PM EST

Online (Live Webinar)

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The Adoption Gap

The Buyer Just Changed. It's an Agent Now, and It Reads Your Data, Not Your Design.

For two decades, eCommerce strategy was built around persuading a human: better photography, sharper copy, smarter UX. That model is breaking. In 2026, shoppers increasingly delegate the decision to AI agents like ChatGPT, Gemini, Perplexity, Rufus, and agent-led checkout flows on Google and Shopify. The agent doesn't browse. It queries. It pulls structured product data, compares specs, evaluates delivery terms, and returns a shortlist. If your catalog isn't legible to it, you don't appear on the shortlist, and you don't lose the sale visibly. You just stop showing up in it.

The stores that get sold from in this new model aren't the ones with the best storefront. They're the ones with the cleanest, richest, most consistent product data. They have specifications, attributes, pricing, inventory, and fulfillment terms an AI agent can confidently parse and recommend. This session is about what that actually looks like in your store, and the specific 90-day moves that take you from invisible to selectable.

$300-500B

Projected size of the US agentic commerce market by 2030, representing 15-25% of total US eCommerce sales.

Source: Bain & Company

805%

Year-over-year jump in AI-referred traffic to US retail sites on Black Friday 2025, with AI-referred shoppers 38% more likely to buy.

Source: Adobe Analytics / Salesforce

4.4x

Higher conversion rate for AI-generated product recommendations versus traditional search results.

Source: McKinsey & Company

ABOUT THE WEBINAR

What You'll Learn

A 60-minute working session with two CommerceShop leaders on exactly how AI agents now decide what gets surfaced, recommended, and purchased, plus the specific data and infrastructure moves that put your store inside that selection set.

Why AI agents (ChatGPT, Gemini, Perplexity, Rufus, agent-led checkout) are now the buyer of record for a growing share of eCommerce, and what that changes about how your store gets discovered, evaluated, and selected.

The "agent legibility" framework: how to evaluate whether your product data, schema, and fulfillment terms are structured well enough for AI agents to confidently parse and recommend your catalog.

The data quality, completeness, and consistency standards that determine whether an agent shortlists your SKU or skips it for a competitor, even when your product is objectively the better fit.

How to audit your product feed, attribute coverage, schema markup, and API exposure for agent readiness, and the highest-impact gaps to close in the first 30 days.

The new performance metric replacing click-through rate: AI citation rate, and how to measure, monitor, and grow your presence in agent-generated recommendations.

Platform-specific guidance for Shopify, BigCommerce, Adobe Commerce, and WooCommerce on the catalog structures, APIs, and emerging standards (UCP, ACP) that enable agentic commerce on each stack.

What's coming in B2B and manufacturing: how AI buying agents are reshaping RFQ workflows, vendor shortlisting, and procurement, plus what your catalog, pricing, and availability data need to look like to compete.

A live Q&A with Karthick and Ed on the specific data and infrastructure gaps holding back your store's agent readiness today.

WHO SHOULD ATTEND

Built for eCommerce Leaders Whose Catalogue Is About to Be Read by Machines

eCommerce Founders and CEOs

Understand exactly how AI agents are changing who gets the sale, and build the 90-day plan that puts your store inside the selection set instead of outside it.

VPs of eCommerce and General Managers

Get a structured framework for evaluating your data and infrastructure readiness for agentic commerce, with the prioritized moves that produce measurable lift first.

Merchandising and Catalog Managers

Identify the exact product data, attribute, and schema gaps that are preventing AI agents from recommending your catalog at scale, plus the fastest path to closing them.

Marketing and Growth Leaders

Learn why AI citation rate is becoming the new acquisition metric, and where to redirect SEO, content, and product marketing budget for agent-era visibility.

Technology and Platform Leaders

Get platform-specific clarity on the APIs, structured data layers, and agent-readiness standards (UCP, ACP) that determine whether your stack can participate in agentic commerce today.

B2B and Manufacturing Commerce Leaders

Understand how AI buying agents are reshaping discovery and procurement for industrial and manufacturing brands, and what your catalog, pricing transparency, and availability data need to support agent-driven RFQs.

EXCLUSIVE WEBINAR OFFER

Free Agentic AI Readiness Audit for Your eCommerce Store

All webinar attendees receive a personalized Agent-Readiness Data Audit showing exactly how your store is being seen, or missed, by today's AI shopping agents. You'll get a structured review of your product data completeness, schema coverage, attribute consistency, and platform readiness, plus a clear 90-day path to making your catalog legible, selectable, and recommendable to the agents that now decide who gets sold from.

MEET THE SPEAKERS

Three Perspectives on Agent-Ready Commerce

Karthick Kalimuthu

CTO & AGENTIC AI ARCHITECT

Karthick leads the engineering and AI architecture practice at CommerceShop, designing the catalog structures, data pipelines, and agentic integration frameworks that determine whether AI agents can read, parse, and recommend a store's products. In this session he walks through exactly what your product data, schema, and platform architecture need to look like for your catalog to be selectable by AI agents, plus the specific gaps that are quietly removing brands from agent recommendations today.

Ed Keibler

VP OF ECOMMERCE

Ed works directly with eCommerce founders and operators to translate agent readiness into measurable revenue. He focuses on identifying where stores are losing visibility, sales, and shortlist placements in the agentic commerce shift, then building the prioritized 90-day plan to close the gaps and make agent-driven discovery show up in monthly P&L.