Is Google showing more 3rd party review data in Shopping results?
Products with 3rd party review data over time (US)
Daily percentage of organic US Google Shopping listings that include an external review snippet over the last 30 days.
Data based on the last 30 days from Productrise, US queries only.
What this tells us about Google's data
Google's Shopping Graph doesn't just rely on your product feed. It actively connects product listings to signals from across the web, including review sites and community discussions, to build a richer picture of each product. Surfacing those snippets directly in Shopping results is the most visible sign of that process at work.
Google pulls these snippets from specialist review publications like TechPowerUp and Rtings:
It also surfaces snippets from Reddit threads, where Google has direct access to user-generated content at scale:
This shows up most often in review-heavy niches like tech and consumer electronics, where there's plenty of external coverage to draw from. But it's not limited to those categories. The example below is a staple gun for upholstery, which is about as far from a high-review-volume tech product as you can get:
That's the broader point: Google has an enormous amount of data and the systems to match it to products at scale. Whether a shopper finds your product through a regular Search result or through AI Mode, Google is drawing on the same underlying product graph to decide what to show and how to describe it.
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About this data
This data is sourced from anonymized SERP data collected through the Productrise application. It represents real, organic (non-synthesized) search results from Google Shopping across queries worldwide.
Data details:
- Time period: Last 30 days
- Refresh cycle: Every 24 hours
- Source: First page of Google search results only
Important note: While this data represents genuine search results, it may be influenced by the specific queries and industries tracked by Productrise users. The insights shown here reflect real-world patterns but may be biased toward the product categories and markets most actively monitored within our platform.
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