What can we learn from these new expanded results?
Posted: Sun Apr 06, 2025 6:04 am
First, they are becoming very industry-specific. Of the six new expanded results released in 2023, only two were “generic” results, such as the FAQ expanded results that organizations use. Second, many of the expanded results complement previous data feeds.
This could be the start of Google's more programmatic use of structured data, as Ryan Levering mentioned in the April 2022 Search Off the Record podcast .
Why are rich results and Schema markup important to Google and Bing?
Rich results improve the search experience for users. But there’s a more teacher data important reason why Google continues to invest in them. Schema markup provides context to your content. As John Mueller pointed out in his Search Update , Schema markup is machine-readable code that you can add to your web pages to help search engines better understand your content.
Google uses extensive language models to understand the content of a page, but they are prone to misinterpretation. Additionally, the things or entities mentioned in the content can be ambiguous. For example, the word "crown" is both a currency and a headdress. Without additional context, it can be difficult for LLMs to decipher what you're talking about. Schema markup can overcome this problem by providing additional information and context about the entities mentioned in your content. This makes the content more understandable and increases the engine's confidence in the data, allowing it to provide more accurate and relevant search results. When you implement schema markup on a page, you're not just defining the entities on that page. You're also describing their relationship to other entities on the web.
This could be the start of Google's more programmatic use of structured data, as Ryan Levering mentioned in the April 2022 Search Off the Record podcast .
Why are rich results and Schema markup important to Google and Bing?
Rich results improve the search experience for users. But there’s a more teacher data important reason why Google continues to invest in them. Schema markup provides context to your content. As John Mueller pointed out in his Search Update , Schema markup is machine-readable code that you can add to your web pages to help search engines better understand your content.
Google uses extensive language models to understand the content of a page, but they are prone to misinterpretation. Additionally, the things or entities mentioned in the content can be ambiguous. For example, the word "crown" is both a currency and a headdress. Without additional context, it can be difficult for LLMs to decipher what you're talking about. Schema markup can overcome this problem by providing additional information and context about the entities mentioned in your content. This makes the content more understandable and increases the engine's confidence in the data, allowing it to provide more accurate and relevant search results. When you implement schema markup on a page, you're not just defining the entities on that page. You're also describing their relationship to other entities on the web.