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Solution — AI Shopping Feeds
ChatGPT, Gemini, Perplexity, and Copilot build shopping answers from merchant product feeds and crawl your site only as a fallback. GoDataFeed builds and validates the data those feeds carry, so an assistant can match your product to a shopper's question and confirm the price and stock before it names you.
Built to the specs these assistants read
How it works
Your catalog
GoDataFeed: structure + verify
AI assistants
01
Map each product to the schema assistants read: GTIN, brand, category, specs, availability.
02
Fill the titles, attributes, and variant fields models use to match a product to a specific question.
03
Publish to the merchant feeds AI assistants draw on, starting with Google and Microsoft Merchant Center, and keep price and stock current on schedule.
Matchable
A shopper asks for waterproof trail runners under $150 in a wide fit. The assistant answers from structured fields: GTIN, brand, material, width, price. GoDataFeed validates identifiers across the catalog and fills the attributes a storefront export leaves blank, so your product qualifies for the question.
Listed isn't recommended
Shopify turns on agentic storefronts by default for eligible stores, and Google enrolls Merchant Center catalogs in free listings. That gets you indexed. Being picked depends on completeness, including conversational fields Google's AI surfaces read, such as item_group_title, variant_option, and question_and_answer. GoDataFeed maps them. A standard Shopping feed usually leaves them empty.
Always current
Assistants check the offer when they answer. A stale price, or a sold-out SKU still marked in stock, takes the product out of the answer. Scheduled syncs keep price and availability aligned with your store, so you stay eligible when a shopper asks.
See what an AI assistant sees in your feed.
Run a free check on identifiers, attributes, and price accuracy across your catalog.
What's included
GTIN and MPN validation
Title and attribute enrichment
Conversational attribute mapping
Pre-publish spec validation
Scheduled price and stock sync
Variant grouping by item group
1
catalog behind your ads, marketplaces, and AI answers
200+
integrations, AI surfaces included
0
extra pipelines to reach AI assistants
Two ways to run it
Same platform, same data quality. Pick the level of hands-on you want - and switch later without re-platforming.
Self-serve
Full access to mappings, rules, and channels. Preview a change on sample SKUs, then push it on your schedule. No ticket, no queue.
In-app editing for every product
200+ integrations, ad channels on every plan
Validation & alerts built in
Managed
A dedicated feed team runs day-to-day operations while you keep full visibility and the keys to your data.
Dedicated feed specialist
Proactive monitoring & cleanup
You still own and export everything
Proof
Shopify store
Ad specialist
Marketing specialist
I have used them on multiple Websites from small product databases to the one I run now with over 250,000 SKUs. … as far as I am concerned they are the only ones who can handle Shopify Metafield import properly.
250K+
SKUs in one catalog
HIT A Double, Shopify merchant
Its great for sites like Wix where you have limited ability to automate the feeds for GMC. Very satisfied with the service.
5/5
G2 rating
Pranav P., Senior Ad Specialist
Since implementing GoDataFeed, we’ve been able to increase the number of feed updates a week, helping us to grow online revenue from Shopping Engines by over 30%!
30%+
online revenue growth from shopping engines
Jessica Cameron Ruud, Internet Marketing Specialist
Start a 14-day free trial, or run a free check and see how your catalog reads to an AI assistant today.
FAQ
Do I need a separate feed for each AI assistant?
No. Gemini and Google AI Overviews draw on your Google Merchant Center feed, Copilot on Microsoft Merchant Center, and Perplexity ingests a Google-format feed. ChatGPT reads its own product spec. GoDataFeed builds each from one catalog and one set of rules.
My store already connects to these assistants through Shopify. Why don't my products show up?
Connection gets your catalog indexed. Recommendation is a separate contest, decided by data an assistant can verify: valid GTINs, complete attributes, and accurate price and stock. Storefront data was written for shoppers on a page, not for that check.
Can you guarantee my products appear in ChatGPT or Gemini?
No, and neither can anyone else. Each assistant decides what to recommend. GoDataFeed controls whether your data passes the checks those decisions depend on: identifiers, attributes, and an offer that matches your store.
How is this different from my Google Shopping feed?
Same source, more fields. Google's AI surfaces read conversational attributes, such as variant_option and question_and_answer, that a Shopping feed usually leaves empty. GoDataFeed fills them from the same catalog behind your Shopping campaigns.
Should I wait until AI checkout settles?
No. Checkout layers like UCP and Copilot Checkout are still changing, but feed requirements only add fields; they don't reverse. Work on identifiers, attributes, and price accuracy carries forward whichever checkout model wins.
