Google Pulls Back Support for Six Structured Data Report Categories
Google has confirmed that reporting on several forms of structured data is being phased out of Search Console and related tools, with the changes expected to be complete by October 2025. The update affects six schema types, and while the technical details might seem small, the move signals how Google continues to reshape what counts as useful in search. For SEOs and digital marketers, that shift matters because structured data has long been a practical way to increase visibility and win attention in crowded results pages.
What is structured data and why does it matter?
Structured data, at its core, is code that explains to search engines what the content on a page represents. Instead of forcing Google to guess, the markup can clarify whether a page is a recipe, a product listing, or a set of FAQs. That is why recipes are often displayed with ratings and cooking times, why product results can show prices and stock availability, and why FAQ pages sometimes appear with drop-down answers directly in search results. For years, this extra layer has been one of the clearest ways to help content stand out and to make results more useful for users.
Which structured data types are being removed?
Google has announced that six schema types will no longer be supported in Search Console reporting, the Rich Results Test, or rich result displays. Pages can still include the markup, but it will no longer provide additional visibility.
Course Info was designed for education providers, letting them highlight course details such as length, syllabus, and institution. It allowed Google to surface course cards directly in results, but adoption proved too limited for Google to continue support.
Claim Review was mainly used by fact-checking organisations to signal when a statement had been verified or debunked. It became more visible during election cycles and breaking news, but Google found usage too low to justify ongoing reporting.
Estimated Salary gave job sites a way to include salary ranges in postings so Google could display pay brackets in search results. With salaries being complex and often variable, Google is retiring this markup in favour of broader job posting signals.
Learning Video schema was built for tutorials and training material. It let publishers describe subject matter, intended audience, and skill level, helping Google identify whether a video was for beginners or advanced learners. With overlap in standard video schema and low adoption, it is being discontinued.
Special Announcements appeared during the COVID-19 pandemic as a way to highlight urgent updates, including lockdown rules, health alerts, or service changes. It gave governments and organisations a direct channel to surface critical notices, but its purpose has faded and it is no longer relevant for everyday search.
Vehicle Listing was used by dealers and marketplaces to show details like make, model, price, and availability in search. Google has chosen to simplify its automotive features, and this schema type will no longer be recognised.
Where will the changes appear?
The removals affect three key tools. Search Console will no longer show rich result reports or Search Appearance filters for these schema types. The Rich Results Test will also stop recognising them. In the Search Console API, bulk exports will return null values for these fields once the update is complete.
What does the change not mean?
This update does not mean that pages using these schema types will lose visibility or rankings. Google has made clear that leaving the markup in place will not cause errors or penalties. What is changing is the reporting and rich result displays. Other schema types such as product, event, review, and FAQ remain fully supported, and they continue to provide strong visibility signals for both search and AI-driven features.
Why is Google making this change?
According to Google, the six schema types being dropped were rarely adopted and provided limited benefit to searchers. Removing them reduces clutter and allows Google to focus on structured data that has wider use. The move also reflects a shift toward AI-driven search through the Search Generative Experience (SGE), where structured data is less about powering niche rich results and more about feeding accurate context into AI summaries.
What should SEOs do now?
There is no urgent need to strip these schema types from your site, but reporting tied to them will stop appearing. The practical next steps are to audit where they are being used, adjust any dashboards that reference them, and shift attention to supported schema types such as product, FAQ, and reviews. Those continue to play a valuable role in both traditional SEO and AI SEO, making them a better investment of time and effort going forward.
Google’s updates are a reminder that SEO is never fixed. From structured data to AI SEO, visibility comes from staying ahead of the shifts. That’s the work we do every day as a trusted SEO expert Auckland brands depend on.
FAQs
Which structured data types lost Google reporting in 2025?
Google removed reporting for Course Info, Claim Review, Estimated Salary, Learning Video, Special Announcement, and Vehicle Listing in Search Console.
Why did Google remove reporting for these schema types?
They were rarely used and offered little benefit to search results, so Google deprecated them to simplify reports, APIs, and search appearance data.
Does this change affect rankings or site visibility?
No, it only impacts reporting; rankings remain unchanged, though these schema types no longer generate new rich results.
How should SEOs and businesses adapt to this update?
Audit schema usage, revise dashboards, update exports for null values, and shift focus to supported schema like FAQ, Product, or Review.
Who can help businesses respond to this structured data shift?
A digital partner such as Kick Start Digital provides tailored schema strategies, ensuring businesses stay competitive in evolving search.
