Google Discontinues Search Console Reporting for Six Structured Data Types
Google has officially discontinued performance reporting in Search Console for six structured data types, including FAQs and How-Tos.
Google will no longer report on six deprecated types of structured data in Search Console and is removing them from the Rich Results Test tool & related search appearance filters.
Changes in Search Console
Google has announced that the following structured data will no longer be supported by reporting functionality or in the testing tool:
- Course Info
- Claim Review
- Estimated Salary
- Learning Video
- Special Announcement
- Vehicle Listing
This change does not apply to Book Actions, which will still be reported on at this time. Deprecated search appearance fields in bulk data exports will return as NULL by October. For those using BigQuery, Google recommends updating queries that use the IS operator to be prepared for the future.
Background on the Deprecation
In June, Google announced its plans to retire these seven structured data types (Book Actions included) from Search to simplify the look of search listings.
Google wrote:
“We believe this change contributes to a cleaner, more focused Search results page for everyone.”
Google also emphasizes that this update had no impact on how these pages were indexed or ranked.
Focus on Structured Data
That matters if you use any Search Console data export, as now is the time to update any query, dashboard, or conditional logic that relies on these appearances.
It is better to use IS checks so that you will get the same result when fields are converted to NULL.
For ranking, you do not need to delete the associated markup on your pages since the change only affects reporting and visual improvements on Search features.
Google plans to continue supporting structured data that provides real value to users in assessing content, while retiring lower-value display formats in new updates.
Bottom Line
This ongoing simplification reflects Google’s efforts to enhance the user experience by prioritizing relevant and actionable search features.