Specialist and regional marketplaces compete with brands and global platforms to win shoppers. When people ask AI where to buy, it chooses which store to recommend. Gravton shows how often AI steers shoppers to your marketplace, why it sometimes picks competitors, and how to improve your catalog to win more referrals.
THE PROBLEM
The same product, many stores
AI picks one store per recommendation. If the brand’s site or a larger marketplace states the product facts more clearly, or offers a better deal, it gets the shopper.
“AI recommends a sofa you list, then sends shoppers to the brand’s own site.”
Listing quality depends on sellers
Product information comes from many sellers, each with their own standards. Thin and inconsistent listings lose AI recommendations across whole categories.
“Many listings in a category lack dimensions and materials, so AI skips them.”
House brands and external brands
Your own brands compete with the brands you carry. You need to know how each performs for the same shopper need.
“Your house brand wins value questions, while a brand you carry wins premium ones.”
Assortment gaps
Shoppers ask AI for products, styles and price bands you don’t carry, or carry but don’t describe.
“Demand for modular sofas is growing, and your listings barely mention them.”
Every category and market differs
Demand and AI answers vary by category and by market. A catalog-wide view hides where you lose.
“You lead in one market and disappear in another where a local store wins.”
WHAT GRAVTON DOES
What shoppers ask AI in each category, and which needs, styles, materials and price bands are gaining demand, with extra weight on the questions where shoppers decide where to buy
Relative demand by intent, emerging intents, demand by market, products shoppers ask for that you don’t carry
Product & Retail Intelligence
Which listings AI recommends, which store it sends shoppers to, and who wins when you don’t
Share of AI-surfaced products you sell, how often you are the store AI names, buy-button share, price competitiveness against other sellers, house and external brand performance
Which categories and listings to fix first, and enriching them across the catalog
Fixes ranked by category, listings enriched, attribute completeness, consistency issues resolved
Whether more AI shopping journeys end on your marketplace
Recommendation share, buy-button share, AI-assisted sessions, demand at risk
Your catalog determines how AI sees your listings. Catalog enrichment reviews every listing based on real shopper questions.
Is it there?
The attributes, descriptions and FAQs shoppers ask about: dimensions, materials, how it is made, care, warranty, compatibility and who it suits
Is it working?
Whether listing information you already have shows up in AI answers, and whether competing stores get credit for products you also sell
Is the feed complete and consistent?
Whether feed fields, identifiers, categories, variants, prices and product facts match across your listing pages, your feeds and the brand’s own site
Can AI read it?
Whether key facts sit in text and structured data, or only inside seller images such as spec sheets and size charts
We fix issues in order of impact: first, what blocks listings; then, the details AI uses most; finally, the page content. Workflows run across all categories, and content matches your marketplace’s style. Regulated claims go to your team for approval. Because you control your pages, updates can be made category-wide. Enrichment adapts as AI, your catalog, and shopper needs evolve. Catalog Enrichment →
SELLERS AND BRANDS
Gravton sets clear listing standards for each category—key attributes, common shopper questions, and top examples. Sellers and brands get direct feedback about what’s missing or needs improvement. You can also show each brand how its products perform in AI-driven answers through your marketplace.
FAQs for marketplaces
We already work on AI visibility in-house. Where does Gravton fit?
Gravton gives you a competitive view you can’t get in-house: see which competitors’ SKUs show up, where AI sends shoppers, which prices appear, and which features make the difference. Gravton also delivers large-scale catalog improvements and tracks the results.
Which marketplaces is Gravton built for?
We work with specialist, category, and regional marketplaces with deep catalogs. For larger platforms, contact us to discuss your needs.
Which tech stacks do you support?
Gravton works with any tech stack. We connect directly to Shopify and support other platforms, product info systems, and custom solutions through feeds, exports, or Google Merchant Center. For complex setups, we customize configuration and implementation for you.
Most of our listings come from sellers. Can you still improve them?
Yes. Gravton finds gaps in seller listings, sorts them by category, and improves the listings you control. It also sets clear standards sellers can follow.
See where AI sends shoppers in your categories
See how often AI recommends your marketplace and what it takes to win more shopper journeys.