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TypeGGoogle SearchData for May 2026

EmployerAggregateRating

Estimated domains

1K - 10K

Description

An aggregate rating of an Organization related to its role as an employer.

Definition from the Schema.org vocabulary (English).

Trend over time

At least two months are needed to show a trend. The series will grow with every monthly update.

Google Search requirements

Required and recommended properties per official Google Search Central documentation.

Required properties

  • itemReviewed100K - 1MGRequired

    Organization The organization that is being rated. The itemReviewed property must point to a schema.org/Organization that represents the company being rated. For example: { "@context" : "", "@type": "EmployerAggregateRating", "itemReviewed": { "@type": "Organization", "name" : "World's Best Coffee Shop", "sameAs" : "https://www.worlds-best-coffee-shop.example.com" } }

  • ratingCount1M - 10MGRequired

    Number The total number of ratings of the organization on your site. At least one of ratingCount or reviewCount is required.

  • ratingValue1M - 10MGRequired

    Number or Text A numerical quality rating for the item, either a number, fraction, or percentage (for example, "4", "60%", or "6 / 10"). Google understands the scale for fractions and percentages, since the scale is implied in the fraction itself or the percentage. The default scale for numbers is a 5-point scale, where 1 is the lowest value and 5 is the highest value. If another scale is intended, use bestRating and worstRating.

  • reviewCount1M - 10MGRequired

    Number Specifies the number of people who provided a review with or without an accompanying rating. At least one of ratingCount or reviewCount is required.

Recommended properties

Properties

Properties this type accepts, including inherited ones.

Legend

PropertySchema typeData typeEnumeration

Properties from AggregateRating

3 properties

Properties from Rating

6 properties

Properties from Thing

13 properties

Tiers indicate the number of unique domains using the term. They are intentionally approximate to reduce noise and protect site privacy. How to read the data.