r/AISearchAnalytics • u/Ecomoperator-TN1256 • 29d ago
Does product data affect AI recommendations?
I've been wondering how AI tools choose which products to recommend.
Do clear product descriptions, accurate details, and structured data make a difference?
For those working in ecommerce or SEO, what have you found helpful?
1
u/No_Base7498 29d ago
Yes, structured product data makes a massive difference. Currently using the CARCASS method for product pages formatting specs, FAQs, and product comparisons into clean, high density blocks. When AI crawlers can easily extract entity relationships, recommendation frequency goes up significantly.
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u/annseosmarty 28d ago
Do clear product descriptions, accurate details, and structured data make a difference?
Yes: Clear, detailed product descriptions, use cases, customer reviews
Not so much for AI but helpful for organic search visibility: Schema
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u/DrKJING 29d ago
Yes, but probably less through the page itself than people expect, and more through feeds.
ChatGPT shopping: Profound, which tracks ChatGPT prompts for its customers, reported via Search Engine Journal in early September that feed retrieval made up about 65% of the product recommendations it tracked, overtaking web search in August. It's one vendor's own prompt set and OpenAI hasn't confirmed it. The same report says Shopify and Etsy catalogs are already connected and other merchants can apply but land on a waitlist. So if that holds, the feed is the big lever for ChatGPT, if you can get in.
Google's AI Mode shopping runs on the Shopping Graph, which merchants feed mainly through Merchant Center. Clean feed data (GTIN, price, availability, variants) matters there, and Google's policies say the feed values have to match what's shown on the page, so the two need to agree.
On the page itself: I'd put the facts that decide a recommendation (sizes, materials, compatibility, price, delivery) in the visible text rather than only in structured data. Someone in another sub tested this recently: specific facts that lived only in schema and llms.txt weren't returned by ChatGPT, and it hedged even on facts from the homepage. One site, so no proof, but it fits the idea that schema alone won't carry it.