Google Shopping Graph
Google's database linking product data from many sources into one connected graph used to power shopping features.
What is Google Shopping Graph?
The Shopping Graph is Google's continuously-updated database that connects product information from many different sources (retailers' own sites, brand feeds, reviews, videos) into one linked structure that Google's shopping features draw on. When a search result pulls in price, stock status, and reviews from several different websites at once, that combined view is being assembled from the Shopping Graph rather than from any single site.
Why it matters
Google reported the Shopping Graph as containing over 50 billion product listings as of its January 2026 National Retail Federation remarks, with more than 2 billion of those listings refreshed every hour, reflecting both direct data (submitted via Google Merchant Center feeds and on-page structured data) and information Google's systems gather from across the open web. Machine learning is applied on top of that raw data to infer higher-level product characteristics not explicitly labeled in any source data, such as a garment's packability or weather performance, and to power features like visual "shop the look" matching and AI-generated buying guides. Because the graph blends merchant-submitted feed data with independently gathered web data, a merchant's own feed and structured-data quality still directly affects how accurately its products are represented in it.