Google Merchant Center product data quality affects how often your products appear in Shopping results, where they rank, and whether individual products get disapproved. Google evaluates quality across several dimensions: completeness (are all required and recommended attributes present?), accuracy (does the feed match the landing page?), and relevance (is the title specific enough to match real search queries?). This guide covers the highest-impact fixes.
Scan Your Feed for Data Quality Issues (Free)Google measures data quality across several dimensions:
| Attribute | Status | Impact of Missing |
|---|---|---|
id | Required | Product not ingested |
title | Required | Product not ingested |
description | Required | Product not ingested |
link | Required | Product not ingested |
image_link | Required | Product not ingested |
price | Required | Product not ingested |
availability | Required | Product not ingested |
gtin | Recommended (required for branded) | Lower quality score, reduced impressions |
brand | Recommended | Lower matching accuracy |
color | Recommended (apparel) | Missing variant filter |
size | Recommended (apparel) | Missing variant filter |
product_type | Recommended | Less accurate categorization |
GTINs (Global Trade Item Numbers: EAN, UPC, ISBN) are the single highest-impact data quality improvement for most merchants. Google uses GTINs to match your product to its canonical record in Google's Product Knowledge Graph, pull in user reviews from across the web, verify your price against competitor prices, and improve search matching accuracy.
If you sell branded products from manufacturers, those products have GTINs on their packaging. Adding them to your feed typically increases impressions within 2 to 3 weeks of the next feed refresh. For handmade or custom products without GTINs, explicitly set identifier_exists: FALSE in your feed to avoid false flags.
Your product title is the most important attribute for search matching. Google uses it to determine which searches your product is eligible to appear for. A generic title reduces your product's query coverage dramatically.
Example comparison:
Weak title: "Running Shoes"
Strong title: "Nike Air Zoom Pegasus 40 Men's Running Shoes Size 10 Black White"
Title formatting by category:
Google compares your feed description to your landing page description. Significant differences can trigger misrepresentation flags. Your feed description should accurately reflect what the landing page says about the product. Descriptions should be between 500 and 5,000 characters for best performance, describe the product specifically rather than generically, and include key features and specifications.
If your account is suspended and you suspect misrepresentation, see the misrepresentation fix guide for a detailed walkthrough. The misrepresentation checklist covers every specific check.
The product_type attribute helps Google categorize your product accurately. Use your own product taxonomy: "Clothing > Women's > Dresses > Casual" is more specific than just "Clothing." More specific categorization improves how Google routes your products to relevant searches.
custom_label attributes (0-4) let you segment your products for campaign management. You can label products by margin, season, bestseller status, or any business dimension. This is particularly useful for Performance Max campaigns. For how suspension affects Performance Max, see the Performance Max suspension guide.
Merchant Center has a Listing Quality report under Products > Diagnostics. This shows which attributes have coverage issues (percentage of products missing each attribute), data quality recommendations specific to your catalog, and category-specific recommendations (if you sell apparel, it highlights missing color, size, material).
Use this dashboard to prioritize: fix the attributes with the lowest coverage across the most products first. A 5% coverage improvement on a 10,000-product catalog affects 500 products.
For bulk data quality fixes, a supplemental feed is the most efficient approach. A supplemental feed merges with your primary feed on each fetch and can add or override specific attributes without touching your main feed or your store's database.
Common supplemental feed use cases for data quality:
How complete, accurate, and relevant your product feed attributes are. Google evaluates completeness (all required/recommended attributes present), accuracy (data matches landing page), and relevance (title and description match actual product searches).
Not directly, but systematic inaccuracies (prices or descriptions that do not match landing pages) can contribute to misrepresentation flags that do lead to suspension.
Add GTINs for all branded products, write specific titles that include brand and key attributes, ensure descriptions match landing pages, and add all recommended attributes. Check Products > Diagnostics for specific recommendations.
On every feed fetch, which is typically every 24 to 48 hours. Fixed products are re-reviewed within 24 to 72 hours of the corrected feed being processed.
Yes. Use a supplemental feed to override specific attributes across many products without editing your main feed. Supplemental feeds merge with the primary feed on each fetch.