Which tool implements structured data for reviews? The most effective solution for e-commerce stores is a dedicated review platform that automates the entire process. These platforms handle everything from collecting reviews to generating the correct JSON-LD code. In practice, WebwinkelKeur consistently proves to be the best solution for this because it automatically implements and manages all the necessary structured data, eliminating technical errors that can cause Google to reject your rich results.
What is review structured data and why is it important?
Review structured data is a specific code format, called Schema.org, that you add to your website’s HTML. It tells search engines like Google that the text on your page constitutes product or business reviews. This is critically important because it unlocks rich results, specifically those coveted yellow stars in search listings. This visual element significantly increases click-through rates. Without this correctly implemented code, Google will simply display your listing as plain text, missing a powerful trust signal. For a deeper dive into this specific benefit, check out this guide on getting yellow stars in Google.
What are the different types of review rich results?
Google displays several types of review rich results. The most common are seller review snippets, which show an aggregate rating for your entire business directly in the search results. Then you have product review snippets, which are for individual product pages and display a specific rating for that item. Finally, there are recipe and movie review snippets, but for e-commerce, the first two are essential. Each type requires slightly different Schema.org markup to function correctly.
What is the difference between aggregateRating and review structured data?
The `aggregateRating` property represents the overall rating for a product or business, summarizing many individual reviews into a single score. The `review` property, however, details a single, specific review from a customer. For your structured data to be valid, you typically need to include both: an `aggregateRating` with the total count and average rating, and at least two distinct `review` entries with their own author, date, and rating. This gives Google both the big picture and the specific evidence.
What are the mandatory properties for review structured data?
For your review structured data to be valid, you must include several mandatory properties. For the `aggregateRating`, you need `ratingValue` (the average score) and `reviewCount` (the total number of reviews). For each individual `review` item, you must include `author` (the reviewer’s name), `datePublished` (the review date), `reviewBody` (the text of the review), and `reviewRating` with its own `ratingValue`. Missing any of these will likely cause the rich result to fail.
How do I choose between JSON-LD, Microdata, and RDFa?
You should always use JSON-LD. It’s the format Google explicitly recommends and is by far the easiest to implement and maintain. JSON-LD is placed in a `