GEO for B2B eCommerce: Win RFQs from AI Discovery Webinar

About Webinar

Generative Engine Optimization (GEO) for B2B eCommerce

B2B buyers aren’t discovering suppliers only through blue-link search anymore. They’re using AI tools to shortlist vendors, compare options, and summarize recommendations before they ever reach a website. Generative Engine Optimization (GEO) makes your catalog and spec content easy for these systems to understand, trust, and cite, so you show up in AI answers for high-intent questions.

This matters because it directly affects who makes the shortlist and what buyers believe before sales gets involved. When specs live only in PDFs, part data is scattered, key compatibility or compliance details are missing, or RFQ flows force guesswork, AI cites someone else, buyers land on the wrong pages, and RFQs come in low-quality. GEO fixes this upstream by improving how AI retrieves and represents your content, turning AI discovery into more qualified, decision-ready RFQs.

Topics You’ll Learn

What “AI-citable” content looks like for B2B product catalogs
Why AI tools misread B2B catalogs (and how to correct it)
The critical pages AI engines look for when shortlisting suppliers
How to structure specs, attributes, and comparisons so AI can summarize accurately
How to build RFQ-ready product pages that reduce clarification cycles
How to create a GEO content map for your highest-value RFQ intents
A practical 30-day GEO plan you can execute without replatforming

Who Should Attend

B2B eCommerce Leaders & Digital Commerce Owners
Marketing & Demand Generation Leaders
Product / Category Managers owning the catalog experience
IT & Digital Experience Leaders
Sales Ops / RevOps supporting RFQ workflows
Content, Catalog, PIM, and Data owners responsible for specs

Bonus

Request a Free GEO Readiness Scorecard for your site to understand how AI discovery tools evaluate your catalog today and what needs to change to drive more qualified, decision-ready RFQs.

Speakers

Nash Ogden

Sathish Mariappan

CEO, CommerceShop

20+ years helping B2B eCommerce teams make product and spec content discoverable, trustworthy, and conversion-ready for AI-driven buyer journeys and RFQ workflows.

Shawn Post

AI Discovery & Catalog Intelligence Lead

Specializes in structuring complex B2B product data and specs so AI systems can retrieve, summarize, and cite them accurately for high-intent RFQ decisions.

GEO for B2B eCommerce: Win RFQs from AI Discovery

Make your product and spec content “AI-citable” so buyers who start in ChatGPT, Perplexity, Gemini, and AI Overviews land on the right pages and submit higher-quality RFQs.

Turn AI discovery into qualified RFQs