Structured data for reviews and ratings of your site on Google

Structured data for reviews and ratings of your site on Google

Marking reviews and ratings helps to improve the display of your content in search results. Consider the key aspects of settings for structured data for various types of content.

How to add backgamuses for your site in Google

There are several ways to organize data:

  • Separate reviews
  • Invested reviews within another content
  • Current ratings
  • Invested aggregate ratings

An example of a simple review in Google

The basic marking includes:

  • Assessed object
  • The value of the rating
  • Author of the recall
  • Publisher (if any)

Invested reviews

Reviews can be part of the markings of the product, organization or other object. In this case, they are indicated as the "Review" property.

A total rating

Aggregatering shows the average value based on several assessments and includes:

  • Average score
  • The amount of assessments
  • The maximum possible score

Requirements for the marking of reviews

For the correct display, follow the rules:

Technical requirements

  • Use supported types of markings
  • Each assessment should be attached to a specific object
  • Indicate complete information about the author of the recall

Requirements for content

  • Reviews should be real
  • Self -esteem is prohibited (evaluations of own goods/services)
  • Ratings should reflect the actual user ratings

Recommendations for implementation

For the best results:

For individual reviews

  • Indicate the date of publication
  • Add the review text
  • Use relevant images

For total ratings

  • Update data when new assessments appear
  • Indicate the exact number of votes
  • Use the standard assessment scale (for example, 1-5 or 1-10)

Check and publication

After adding markings:

  1. Check the code using Rich Results Test
  2. Make sure the pages are available for indexing
  3. Send a URL to a reinstall

For professional configuration of structured data, please contact SEO.compter by email info@seo.computer Or WhatsApp +79202044461.

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