Google Shopping feed optimization
Your ads are fine. Your product data is the problem.
We fix the product data behind Google Shopping so listings serve, win, and stay useful to AI shopping tools. Bids only decide what you pay after that.
Be everywhere your buyers shop.
Run it all from one place.
A store built to convert
We design and build your Shopify store, then keep testing and improving it.
Reach every channel
Feeds and ads for Google, Meta, TikTok, and AI assistants, synced with your catalog.
What the feed decides
Three decisions before a bid
First approved. Then competitive. Then useful to AI.
What serves
A disapproved product earns nothing. Missing IDs, a drifted price, or promo text on an image quietly takes it out of circulation.
What competes
Approved is not competitive. Weak titles, guessed categories, and ungrouped variants lose to better data, not bigger budgets.
What AI can use
Without clear specs, buyer answers, and product relationships, AI shopping tools have almost nothing specific to quote.
The feed became the page
Assistants read your feed before your site
Named fields travel better than page copy across Shopping, marketplaces, and AI tools. Specs, buyer Q&A, and product relationships are still missing from most catalogs.
How AI search reads a catalogOn the page
“Roomy enough for a weekend away, and it slides right under the seat in front of you.”
Reads well. No checkable fact for an assistant to quote.
In the feed
- Spec
- Capacity: 40 L
- Spec
- Dimensions: 45 x 36 x 20 cm
- Buyer Q&A
- Fits under a standard airline seat? Yes.
Same product, now quotable.
Free check
Check your product feed
Twelve checks. Then a fix list. No email.
Feed readiness check
Twelve questions about your product data
0 / 12
No email. Required vs recommended only.
Start the checkHide the check
Feed readiness check
Twelve questions about your product data
0 / 12
No email. Required vs recommended only.
Start the checkHide the checkAnswer all 12 for your fix list. 12 left.
The engagement
What we improve
Rules applied across the catalog so new products stay consistent.
Titles and details
Brand and product type first. Same structure applied across the catalog.
Categories and variants
Accurate categories, clean product types, and sizes/colours grouped as families.
Live updates
Price, availability, and stock stay in sync. Alerts when products are disapproved.
AI-ready attributes
Specs, buyer Q&A, and related-product links so AI tools can use your catalog.
Multi-channel consistency
Same product facts across Shopping, marketplaces, and social commerce.
Where we have done this
Ten product feeds live from one catalogue
Sensitint, a K-beauty retailer launched from zero. We structured a 10,000+ product catalogue once and connected it to Google, YouTube, Microsoft, Facebook, Instagram, Pinterest, TikTok, the Shop app, agentic AI shopping and Shopify Collective as a supplier.
- Product feeds connected
- 10Product feeds connected
- Products in the catalogue
- 10,000+Products in the catalogue
- Language storefronts at launch
- 4Language storefronts at launch
questions
Product feed questions
What is product feed optimization?
Improving the product data you send to shopping channels (titles, IDs, categories, price, availability) so products are approved and matched to the right queries. Bids only change what you pay for products that already qualify.
Feed management vs feed optimization?
Management keeps a clean file synced and approved. Optimization decides what goes in the fields so products win. Most tools do management. We do both, and we will tell you if your current tool is enough for the plumbing.
Why do products keep getting disapproved?
Usually the same causes: missing GTINs (or MPN + brand), price/availability that drifted from the live page, images with watermarks or promo text, or missing category attributes. White backgrounds are a best practice, not a requirement.
Does the feed affect AI shopping results?
Yes structurally. Specs, Q&A, and product relationships give AI surfaces something to quote. Google publishes no ranking boost for them, so treat uplift claims with suspicion. Most catalogs still have none of this data.
We use AI for titles. Does Google need to know?
Yes. AI-written titles and descriptions must be declared in the feed. If you send both a declared and a plain version, Google uses the plain one.
Do we need a feed tool, or an agency?
A tool helps with multi-channel sync and rules. An agency reviews titles, categories, and buyer needs. You may need both, one, or neither.
How fast does feed work show up?
Disapproval fixes usually land in a few days. Title and category changes typically show in two to four weeks. AI attributes take longer to measure as adoption is still uneven.
The surfaces are already answering. Ride it, do not wait for it.
Send us your feed. We will tell you what is costing eligibility today, in writing.