Google Shopping Graph
Also known as: Shopping Graph
In short
Google's machine-learning-powered collection of information about products, sellers and offers that supports its shopping experiences.
Connect products with shopping information
The Shopping Graph brings together product listings and details such as sellers, availability and product characteristics. Google describes it as a continuously updated data set supported by machine learning.
Its inputs include information merchants provide through Merchant Center and information available across the web. Those inputs help Google interpret products and connect shopping requests with relevant options.
The Shopping Graph is not a merchant’s own product database. It is also not a public checklist of ranking factors. Sending more attributes does not create a guaranteed placement or recommendation.
Illustrative example
Imagine a shopper looking for a compact desk lamp with a specific fitting. Several merchants sell the same model. Product information can help distinguish the model from similar lamps, while each seller’s offer adds its own price and availability.
This example explains the relationship between product and offer information. It does not claim to reproduce Google’s selection process for an individual search.
Control the inputs you own
Maintain accurate identifiers, useful descriptions and current offers in your catalog, website and channel data. Resolve contradictions rather than submitting multiple versions and hoping a system chooses the preferred one. Treat references to the Graph’s size or specific shopping interfaces as dated product information, not permanent guarantees of coverage.