Key points
- seoClarity hosts a webinar on Wednesday, October 28, at 2 p.m. ET about how AI shopping agents choose products to recommend.
- Speakers are Chris Sachs, VP of Value Enablement, and Aris Vrakas, Product Lead, at seoClarity.
- The session targets product discovery, not checkout inside an AI service, and a recording goes to registrants who cannot attend live.
- Topics include tying product details to shopper wording, tracking product recommendation rates against rivals, and spotting content AI tools may miss.
Why it matters for marketers: Shoppers now describe needs instead of naming products, so ecommerce teams must show whether product pages answer those needs and whether AI tools can read them.
seoClarity will run a webinar titled "How AI Shopping Agents Decide Which Products to Recommend" on Wednesday, October 28, at 2 p.m. ET. Chris Sachs and Aris Vrakas, both from the company, will lead it. A recording will be sent to people who register but cannot join live.
The premise is that shoppers increasingly describe a need to an AI tool instead of naming a brand or model. A product page that lists only materials and color may not tell the tool whether the item fits a particular situation. Search Engine Journal's example is a boot page that mentions leather and black, while the buyer wants footwear that holds up at a muddy festival.
For marketers and content teams, the takeaway is that product copy may need to describe real uses in the same language shoppers use, in addition to listing specs. The session also covers how often Google and ChatGPT surface a given product compared with competitors, which gives teams a way to benchmark visibility.
Another topic is technical: whether details on rendered pages and in structured data are actually readable by AI systems. If a relevant product is missing from AI recommendations, the language on the page, the competitive recommendation rate and the machine-readable data are three separate places to look.
The webinar focuses on discovery, not on completing purchases inside an AI service. Teams that cannot attend live can still use the recording to audit a handful of key product pages against the questions shoppers actually ask.
Sources
This brief is our own summary. Read the full reporting at the source.
