CAN YOU TRIGGER A VIDEO SNIPPET WITH VIDEO SCHEMA?

Our hypothesis is that while schema markup is presumed to have SEO benefits, its effectiveness and ability to influence search engine results pages (SERPs) might largely depend on Google’s recognition and trust in the specific type of schema implemented. Specifically, we theorize that video schema markup alone may not directly lead to the generation of video snippets in SERPs. Instead, the presence of such snippets could be attributed to Google’s advanced machine learning capabilities, which might be utilized to comprehend and evaluate media content on web pages more efficiently. This suggests that Google’s algorithms could be prioritizing content understanding and relevance over explicit markup signals when deciding to display video snippets in search results. Consequently, the actual impact of schema markup on achieving enhanced SERP features, such as video snippets, might be secondary to Google’s internal content evaluation processes. This theory aligns with observations regarding Google’s approach to new link attribution models, indicating a broader strategy of leveraging machine learning to interpret web content and user intent more accurately, rather than solely relying on structured data markup provided by webmasters.

Schema is something we had been playing with more as we have yet to find a schema markup that actually pushed rankings.

First, we wanted to test if video Schema would generate rich snippets in SERPs, we took a group of pages across different websites and embedded a video along with the video schema markup. We did this with videos from the YouTube channel connected to the website brand, as well as testing it with videos from other channels that are not owned by our site.

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