Ad feed health
Google Shopping & Meta catalogs2 of 25 sampled products have an issue that gets items disapproved or throttled in Google Shopping — roughly 60 products across the 749.
Published audit · 16 October 2026
How Google Shopping and AI shopping agents read rothys.com
We read Rothy's storefront the way Google's crawler and agents like ChatGPT, Perplexity and Google AI Mode do — no login, no app install — and checked 25 flagship products of 749 against Merchant Center's rules and agent readability.
2 of 25 sampled products have an issue that gets items disapproved or throttled in Google Shopping — roughly 60 products across the 749.
1 of 25 are hard for AI shopping agents to read: key buying facts are missing or locked in prose and images — roughly 30 products catalog-wide.
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The lowest-scoring products from the sample, rebuilt into complete structured data, Shopify metafields and Google feed rows.
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What we found
Most severe first, with how many of the 25 sampled products each one affects.
Description is a required feed attribute; agents have nothing to reason over.
How to fix Write a description that covers what the product is, what it's made of, its fit or dimensions, and who it's for.
Agents filter on facts ("merino, under 300g, machine-washable"). With none, the product can't match those queries.
How to fix Add the facts shoppers filter on — material, dimensions, weight, care — to the description and, better, to metafields published in the JSON-LD as additionalProperty.
Google disapproves for "Mismatched value [availability]"; agents recommend items that can't be bought (or skip ones that can).
How to fix Generate availability per variant from variant.available (InStock or OutOfStock) instead of hard-coding it, with one Offer per variant.
Without a product type, mapping to Google's taxonomy (and bidding by category) falls back to guesswork.
How to fix Fill in the product type (or Shopify product category) for every product so it maps cleanly to Google's product taxonomy.
Google shows shipping and returns annotations only when they're marked up; agents compare stores on exactly this.
How to fix Add hasMerchantReturnPolicy and shippingDetails to the Offers in your JSON-LD, or configure return and shipping policies in Merchant Center.
Feed titles that include brand, product type and key attribute get more impressions.
How to fix Lengthen the feed title to brand + product type + key attribute, e.g. "Acme Women's Merino Crew Sweater – Navy".
Product by product
Scores out of 100, worst first. Open a product to see what's wrong with it.
Store-wide
Enter your store and get both scores, every issue, and your five worst products rebuilt from your own photos and copy — free, in about a minute.
Audit your store free →Everything here comes from public storefront data: /products.json, the storefront Ajax API, each product page's JSON-LD, robots.txt and policy pages. Checks follow Google Merchant Center's product data specification and schema.org's Product vocabulary — see every check. Attributes kept only in app metafields or a separate feed aren't visible publicly — for AI agents, that's the same as missing.
AI enrichment was not used for this report; the fixes shown are built deterministically from the store's Shopify data. Sample: 25 products — homepage picks first, then spread across product types. Generated 2026-10-16T09:23:30.056Z.