How To Help AI Shopping Agents Find Your Products [Webinar]

When a shopper asks an AI tool for a product recommendation, they describe what they need the product to do rather than name a brand or model.

Product pages can then help the tool evaluate that request by explaining relevant uses alongside product features.

Consider a pair of boots listed as “leather upper, black,” while a shopper asks for “boots that survive a muddy festival weekend.”

The page describes materials and color, but the shopper wants to know whether the boots will suit those conditions. The description leaves that use case unanswered.

What Agentic Commerce Means For Product Discovery

seoClarity will host “How AI Shopping Agents Decide Which Products to Recommend” on Wednesday, October 28, at 2 p.m. ET. Chris Sachs, VP of Value Enablement, and Aris Vrakas, Product Lead, will cover:

• How product feeds matter. 70% of ecommerce-related keywords trigger a product grid, and 83% of products in ChatGPT’s carousel come from Google Shopping, so feeds that answer shoppers’ questions in their own words improve discovery.
• How the feed, the page, and the structured data should describe the same product, including its price.
• Why branded search can no longer be counted on to bring shoppers to a product.
• How to measure product recommendations against competitors, including a split test of enriched and untouched feeds.

Join us live and bring your unique questions for this team of experts to answer!