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AI shopping optimization
agents recommend.
Shoppers are starting in ChatGPT, Perplexity and Gemini. Agents read structured data - they don't browse pages. GoDataFeed formats your catalog so AI assistants can find, trust and recommend your products.
"Best waterproof hiking boots under $180?"
Shopping assistant
Based on availability and verified specs, a strong option is:
B
Trailline GTX Boot · $169 · In stock
Matched on size, waterproof rating and live price.
Optimizing catalogs for the channels shoppers actually use
How it works
Your catalog
GoDataFeed - structure + verify
AI agents
01
Map every attribute to the schema agents expect - GTINs, specs, availability, returns.
02
Enrich titles and structured data so models can match your products to real questions.
03
Publish to AI shopping surfaces and keep price, stock and specs live.
OK
GTIN verified
OK
Specs complete
OK
Availability live
Machine-readable
Models won't recommend what they can't verify. We structure every product so identifiers, specs and stock are complete and consistent - the difference between being cited and being skipped.
One source, everywhere
The same clean catalog that powers Google and Amazon powers the AI assistants. No separate pipeline, no per-channel paywall, no duplicate work.
200+
channels & agents from one feed
$
Price synced - 2 min ago
#
Stock synced - 2 min ago
Always current
Agents drop sources that go stale. Continuous sync keeps price and availability accurate, so you stay eligible the moment a shopper asks.
See how your feed reads to an AI agent.
Run a free structure check on your catalog.
What's included
OK
Schema mapping & GTIN repair
OK
Title & attribute enrichment
OK
Structured-data validation
OK
Live price & stock sync
OK
Returns & shipping signals
OK
Per-surface spec handling
3x
more likely to be cited with complete specs
200+
channels & agents
<5 min
price & stock freshness
Proof
We started appearing in assistant recommendations within weeks of cleaning up our structured data. It's a channel we didn't have before.
3x
citation rate vs baseline
VP Ecommerce - outdoor brand
Accurate specs and availability meant the agents stopped recommending discontinued shades. Returns from mismatches dropped.
-40%
mismatch-driven returns
Digital lead - beauty brand
One feed now serves Google, Amazon and the AI assistants. We didn't add headcount to get into a brand-new surface.
1
feed, every surface
Head of growth - electronics retailer
FAQ
Questions, answered
How long does setup take?
Most catalogs connect and publish their first channel the same day. Migrations from another feed tool typically land inside a week, with your mappings carried over.
Do you charge per channel?
No. Every plan includes every channel we support. Tiers scale with SKU count and support depth - adding a marketplace never changes your bill.
What happens when a channel changes its spec?
We track channel requirements centrally and update the templates for everyone. Your feeds re-validate automatically; anything that needs a decision from you shows up as a flagged item, not a silent failure.
Can I switch between self-serve and managed?
Yes, either direction, at any time. The platform is the same underneath - managed just adds a named specialist doing the work in your account.
What sources can you ingest from?
Shopify, BigCommerce, Magento and other store platforms, plus ERPs, APIs, hosted URLs, and flat files. If your product data lives somewhere, we can pull it.
Start with a free structure check - see how your catalog reads to an AI agent today.