Ai
AI agent
Google's AI Overviews build product answers from the shopping graph - and the shopping graph is built on Merchant Center data. GoDataFeed engineers that data so your products are readable when the answer gets written.
Agent conversation
Q
Best waterproof trail runners under $140?
1
TrailFlux GTX
2
Ridgeline 2
3
Summit Lite
What the overview reads
When AI Overviews recommend products, they draw on the shopping graph Google builds from merchant feeds. Complete, accurate catalog data is what makes your products candidates for the answer.
Attributes, identifiers and categories built out so Google can parse and place your products.
GTINs validated across the catalog - the anchor Google uses to know what a product is.
Price and availability stay current, so your products remain safe to recommend.
The same engineered feed powers Shopping results and the AI surfaces built on top of them.
Get answer-ready
01
Attributes, identifiers and categories built out across the full catalog.
02
Data is checked against Google's spec before it publishes.
03
Scheduled syncs keep the shopping graph reading current data.
1
catalog behind Shopping, P-Max and the AI surfaces above them.
40+
channels one connection can feed.
0
new feeds required - the stakes rose, the source stayed the same.
Questions, answered
Is this different from my Shopping feed?
Same data, higher stakes. AI Overviews draw on the shopping graph built from Merchant Center - feed quality now shapes answers, not just listings.
Why do my products not appear?
Usually data completeness. Thin attributes and missing identifiers keep products out of consideration - the AI recommends what it can verify.
Does site markup replace the feed?
They work together. The feed remains the structured, verifiable source Google checks products against.
Other AI agents
Light closer. Renders for AI agent type only, which spends its dark beat on the hero.