The rise of ChatGPT commerce: Winning with feed ads
42% of consumers already use AI to shop. Now, OpenAI is making it easier for brands to advertise directly inside those conversations.
With the introduction of product feed ads in ChatGPT, brands can connect product catalogs directly to the platform, enabling products to appear when consumers are actively researching, comparing, and evaluating purchases.
But what determines whether your products get recommended? And how can ecommerce teams optimize their product data for this new environment?
Join Productsup Co-founder and CIO Marcel Hollerbach and Global Director Katie Moro as they explore how ChatGPT feed ads work, the role of product data in AI-powered product discovery, and feed optimization strategies that can help improve visibility and performance in ChatGPT.
What you’ll learn:
How to set up OpenAI product feed ads
How to send and manage your product feed in ChatGPT
How product catalogs are used to generate and serve ads
Feed management best practices for ChatGPT
The role of product enrichment, contextual attributes, and AI-ready product signals
How to track visibility and performance in emerging AI shopping experiences
A live demo of ChatGPT feed ads in action
Who should watch?
Ecommerce leaders exploring AI-powered shopping and ChatGPT ads
Product feed, marketplace, and merchandising teams
Digital marketing teams focused on product visibility and discovery
Merchandising, product data, and ecommerce operations teams
Brands, manufacturers, and retailers preparing for conversational commerce
Key takeaways
Brands, manufacturers, and retailers preparing for conversational commerce
Your existing feeds are a strong starting point.
Teams already managing feeds for Google Shopping or Meta can build on the same foundation, adapting their data to OpenAI's requirements rather than starting from scratch.
AI shopping needs richer product context.
From polling the webinar audience, FAQs and reviews/ratings are their biggest feed content gaps, reinforcing the need for product data that goes beyond standard titles and descriptions.
Start small, then scale.
For large or messy catalogs, the takeaway was to start with a smaller product set, optimize what matters, learn from the results, and scale from there.
Getting into ChatGPT is only half the story.
Tracking which products appear in ChatGPT helps uncover visibility gaps and optimization opportunities. This creates a feedback loop between feed management, enrichment, and AI visibility.
AI commerce is raising new questions for marketers.
From OpenAI product feed ads and bidding to GEO and budgets, teams are already thinking beyond traditional Google and Meta strategies.
Speakers
Marcel Hollerbach
Chief Innovation Officer & Co-FounderProductsupMarcel Hollerbach is Chief Innovation Officer and Co-Founder at Productsup, the leading enterprise feed management and syndication platform. With over 20 years of experience in SEO and Performance Advertising, he is now leading the company through the Agentic Commerce transformation.
Katie Moro
Global Director of Managed Service & Regional Manager - North America SolutionsProductsupWith over 15 years of experience in digital advertising, Katie started on the agency side before joining Google’s client success team to support clients with Google Shopping implementation. Now at Productsup, she helps the world’s largest brands optimize their product feeds for high-performing campaigns.
