reviewRating
Estimated domains
Description
The rating given in this review. Note that reviews can themselves be rated. The ```reviewRating``` applies to rating given by the review. The aggregateRating property applies to the review itself, as a creative work.
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.
Usage in Google Search
Documented Google contexts where this property is required or recommended for rich results.
- Requiredfactcheck
Rating The assessment of the claim. This object supports both a numeric and a textual assessment. The textual value is currently the only value shown in search results. Different fact-checking projects have a variety of rating schemes which can have subtle differences, particularly for intermediate values. It is important to document such rating schemes to clarify the meaning of the numeric ratings. Minimally, there must be a number to text rating system for all your fact checks that carry numer
- Requiredreview-snippet
Rating The rating given in this review. The rating can be a nested Rating or more specific subtype. The most typical subtype is AggregateRating.
- Requiredreview-snippet
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. For decimal numbers, use a dot instead of a comma to specify the value (
- Recommendedreview-snippet
Number The highest value allowed in this rating system. If bestRating is omitted, 5 is assumed.
- Recommendedreview-snippet
Number The lowest value allowed in this rating system. If worstRating is omitted, 1 is assumed.
Used on types
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.