AI agents like ChatGPT, Gemini, and Copilot are already buying. The question is whether your store's data is ready to be selected.
HOSTED BY
Sathish Kumar Mariappan (CEO & Co-Founder),
Karthick Kalimuthu (CTO & Agentic AI Architect),
and Ed Keibler (VP of eCommerce)
THE QUIET SHIFT
ChatGPT, Google Gemini, and Microsoft Copilot have moved past chat. They're executing real purchases through open commerce protocols, and the platforms behind them are choosing which products to surface based on one thing: structured, machine-readable data.
For founders running $2M to $25M stores, this is a quiet shift with loud consequences. Most product catalogs were built for human shoppers clicking through PDPs. They weren't built for AI agents querying APIs and reading structured metadata in milliseconds.
The stores that fix their data foundation now will be selected. The ones that wait will be skipped, and most won't know why their organic traffic and conversions started slipping.
Expected US retail spending through AI platforms in 2026, nearly 4x 2025 figures
Source: eMarketer
Of retailers say AI agents will be essential to compete within a year
Source: Salesforce Connected Shoppers Report
Of US business leaders are raising AI budgets specifically because of agentic AI
Source: PwC AI Agent Survey
ABOUT THE WEBINAR
A 60-minute working session with three CommerceShop leaders on what's already happening in agentic commerce and the data fixes that determine whether your store gets selected or skipped.
What agentic commerce actually means for stores in the $2M to $25M range, and what's already live across ChatGPT, Gemini, and Copilot
The three data problems quietly making most eCommerce stores invisible to AI agents
How AI agents evaluate, compare, and select products and what determines whether yours get chosen
The difference between being "AI ready" and being "agent selectable," and why most stores are confusing the two
A 90-day data readiness framework broken into three phases: catalog cleanup, metadata structure, and API exposure
Platform-specific guidance across Shopify, BigCommerce, Adobe Commerce, and WooCommerce, including which protocols each platform supports today
The three measurable signals that prove your store is being selected by AI agents, and where to find them in your existing analytics
A live Q&A with Sathish, Karthick, and Ed on the specific data and platform questions affecting your store today
WHO SHOULD ATTEND
Understand what agentic commerce changes for your store's discoverability and revenue, and build the 90-day plan to stay selectable.
Get a structured framework to evaluate data readiness across your catalog, metadata, and platform integrations.
Learn why traditional SEO investments are reaching diminishing returns and what replaces them in an agent-mediated buying environment.
Identify the specific data gaps in your product catalog that are making agents skip your SKUs.
Get platform-specific clarity on data readiness across Shopify, BigCommerce, Adobe Commerce, and WooCommerce, including which protocols each platform supports today.
Understand how agentic commerce reshapes B2B discovery and what agent-led quote negotiations mean for your sales motion.
EXCLUSIVE WEBINAR OFFER
All webinar attendees receive a personalized Data Readiness Audit showing exactly where your store stands on agent-selectability. You'll get a detailed review of your product catalog structure, metadata completeness, and platform-specific data exposure, plus the clearest 90-day path to making your store fully selectable by AI agents like ChatGPT, Gemini, and Copilot.
Register NowMEET THE SPEAKERS
CEO & CO-FOUNDER
Sathish has spent 17 years building eCommerce operations for retailers, manufacturers, and DTC brands across every major platform. As CEO and Co-Founder of CommerceShop, he leads a 150-person consultancy that has delivered over 1,000 stores. He opens this session with what's actually changing in agentic commerce and why most stores in the $2M to $25M range are unprepared.
CTO & AGENTIC AI ARCHITECT
Karthick leads the engineering and AI architecture practice at CommerceShop, building the data structures, metadata frameworks, and API integrations that make AI agents selectable by ChatGPT, Gemini, and Copilot. He walks through the specific data fixes that determine whether your store gets surfaced or skipped, and the 90-day technical roadmap to get there.
VP OF ECOMMERCE
Ed partners directly with eCommerce founders to translate technical readiness into operational outcomes. He focuses on identifying the highest-impact data gaps across product catalogs, metadata structure, and platform-specific configurations, then building the staged plan to close them across Shopify, BigCommerce, Adobe Commerce, and WooCommerce.