Google Dropped 7 Schema Types — Here’s What Still Drives Clicks

Google just pulled the plug on seven structured data types.

Starting January 2026, the following schema types no longer generate rich results in Google Search: Course Info, Claim Review, Estimated Salary, Learning Video, Special Announcement, Vehicle Listing, and Practice Problems. Google announced the deprecation in November 2025, and the change is now live.

If you were relying on any of these for enhanced listings, those extra visual elements are gone.

But here’s the more important question: what still works?

The schema types that still drive clicks.

Google deprecated seven types, but the highest-impact schema categories remain fully supported:

• Product schema — pricing, availability, and review stars in search results
• Review/Rating schema — star ratings that catch the eye and build trust
• Article schema — enhanced appearance for news and blog content
• Organization schema — knowledge panel data and brand information
• Local Business schema — address, hours, and contact info in local results

These are the schema types that move the needle on CTR. Product and Review schema, in particular, have consistently shown 20–30% CTR improvements in multiple studies.

The bigger pattern worth watching.

Google didn’t just drop seven schema types. Over the past two years, they’ve also restricted FAQ rich results to government and health authority sites only, and fully deprecated HowTo rich results on desktop.

The trend is clear: Google is narrowing which types of structured data earn visual enhancements. They’re keeping the types that help users make decisions (product info, reviews, business details) and removing the ones that primarily kept users on Google’s own results page (FAQs, how-to steps).

For SEO practitioners, this means focusing your schema efforts on the types Google is clearly invested in supporting — not spreading yourself thin across every possible markup type.

Structured content still matters, even beyond rich results.

Here’s something worth knowing. Research from ViserX found that GPT-4’s performance on extracting information jumped from 16% to 54% accuracy when content was well-structured with schema markup. As AI systems increasingly process and reference web content, structured data helps your pages get understood correctly — by both Google’s algorithms and the AI models that feed features like AI Overviews.

Schema markup has always been about making your content machine-readable. That value isn’t going away. If anything, it’s increasing.

Where to focus now.

The playbook is straightforward. Audit your existing schema implementation. Remove any deprecated types (they won’t hurt you, but they’re dead weight). Double down on Product, Review, Article, and Organization schema — the types that still earn rich results and drive measurable CTR gains.

And remember: schema markup makes your listing more attractive, but it doesn’t generate clicks on its own. The combination of a better-looking listing and strong engagement signals is what moves rankings.

SerpClix uses an army of over 400,000 real human clickers to boost your organic CTR. Get started with a free trial or log in to your dashboard to set up your next click order.

Tenga en cuenta que no existen garantías en la optimización de motores de búsqueda. Hay innumerables factores que pueden afectar las clasificaciones de los motores de búsqueda y, siendo realistas, la mayoría de los sitios deberían centrar sus esfuerzos en el SEO tradicional antes de pensar siquiera en utilizar técnicas no tradicionales como SerpClix. Todos los esfuerzos de SEO pueden implicar un elemento de riesgo. Algunas técnicas son ciertamente más riesgosas que otras. SerpClix emplea clickers humanos reales, por lo que creemos que nuestro servicio es mucho menos riesgoso que intentar utilizar métodos de clics automatizados o robóticos. Pero, como todas las estrategias de SEO, existe un elemento de riesgo porque el algoritmo de Google es desconocido y está sujeto a cambios en cualquier momento. Para obtener más información, consulte nuestras Preguntas frecuentes para compradores.