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What’s the Difference between Review & AggregateRating Schemas and Other Schema Types?

With the release of version 2.2.9 of Squirrly SEO’s Advanced Pack, we introduced two new schema types that you can build using the Rich Snippets feature, namely:

  1. Review” Schema
  2. AggregateRating” Schema

To reach the Rich Snippets feature, go to Squirrly SEO > Bulk SEO > METAs > Rich Snippets.

In this short tutorial, we’ll focus on what these two new schema types help you achieve and how they are different from other schema types that you can build using Squirrly, such as “Book,” “Course,” “Event,” and more.

More about the Review and AggregateRating Schemas

These schema types are used to provide structured data about reviews and ratings for a specific item, such as a product or a service.

  • Review Schema. This schema type is designed to represent a short excerpt of a review or a rating of an individual item – for example, of a book, movie, recipe, or store.
  • AggregateRating Schema. This schema type is designed to represent the average rating of an item – for example, of a book, movie, recipe, or store – based on multiple ratings or reviews.

Nesting a Review into Another Schema Type

When using Squirrly’s Rich Snippets feature, you’ll notice that many of the different schema types come with an additional “Review” option.

This option allows you to combine multiple structured data by adding one or more reviews within the chosen schema type.

So, for example, if you select the “Product” schema, you can incorporate multiple reviews for that particular product as part of the “Product” schema type.

This process is called nesting and describes the addition of other structured data types within the main structured data.

Nesting a review into another schema type is a common practice to provide detailed information about an item and user feedback simultaneously.

Here’s an example of a review that’s nested in a “Product” schema type.

    <title>The Catcher in the Rye</title>
    <script type="application/ld+json">
      "@context": "",
      "@type": "Product",
      "brand": {
        "@type": "Brand",
        "name": "Penguin Books"
      "description": "The Catcher in the Rye is a classic coming-of-age story: an story of teenage alienation, capturing the human need for connection and the bewildering sense of loss as we leave childhood behind.",
      "sku": "9780241984758",
      "mpn": "925872",
      "image": "",
      "name": "The Catcher in the Rye",
      "review": [{
        "@type": "Review",
        "reviewRating": {
          "@type": "Rating",
          "ratingValue": "5"
        "author": {
          "@type": "Person",
          "name": "John Doe"
        "@type": "Review",
        "reviewRating": {
          "@type": "Rating",
          "ratingValue": "1"
        "author": {
          "@type": "Person",
          "name": "Jane Doe"
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "88",
        "bestRating": "100",
        "ratingCount": "20"
      "offers": {
        "@type": "Offer",
        "url": "",
        "priceCurrency": "USD",
        "price": "5.99",
        "priceValidUntil": "2020-11-05",
        "itemCondition": "",
        "availability": "",
        "seller": {
          "@type": "Organization",
          "name": "eBay"

Similarly, for “Events,” “Courses,” “Movies,” “Books,” and others, you can include one or more reviews, and Squirrly will automatically generate the “AggregateRating” schema from those reviews.

Does Google Like You Adding One Structured Data inside another Type of Structured Data?

Here’s what Lizzi Sassman, tech writer at Google, had to say about this:

“Yep. Nesting your structure data can help us understand what the main focus of the page is. For example, if you put recipe and review at the same level, it’s not as clear as telling us that the page is a recipe with a nested review.

This means that the primary purpose of the page would be a recipe and that the review is a smaller component of that.”

*Source: Search Engine Journal