PostedMay 30, 2023
In today’s digital age, staying up-to-date with the latest news is vital. Google News is a popular platform that collects and showcases news stories from different sources globally. As such, it provides a vast audience with the latest news stories. For publishers, getting their content featured on Google News is essential for driving traffic to their websites. However, with so many publishers vying for attention on the platform, ranking high in Google News is challenging. This is where structured data comes in.
Structured data, also known as schema markup, is a way of organizing and marking up website content to make it more readable by search engines. It uses a standardized vocabulary to describe the content of a webpage. This makes it easier for search engines to understand the context of the content and display it in relevant search results. In other words, structured data provides search engines with the necessary information to create rich snippets or enhanced listings that appear in search results.
Google News uses structured data to help it understand the content of news articles better. By marking up content with structured data, publishers provide Google with information about the news story, such as the author, date published, and headline. This data is then used to create rich snippets in Google News search results, which can increase click-through rates. Additionally, structured data can help Google News decide which stories to feature on its homepage and in the "Top Stories" section.
Some of the most commonly used structured data types in Google News include Article, NewsArticle, and BlogPosting. These types contain information about the article’s author, date of publication, headline, and image. A publisher can also use structured data to mark up additional information such as the article’s category, keywords, and the publisher’s logo. This additional data can help Google News better understand the content of the article and display it more prominently in search results.
Several studies have been conducted to determine whether the use of structured data affects ranking in Google News. One study found that pages with structured data markup had a 4.36% higher click-through rate than those without markup. Another study found that pages with structured data markup rank higher in Google News Search results than those without markup. These findings suggest that implementing structured data can improve ranking and click-through rates in Google News.
Implementing structured data markup can provide several benefits for publishers looking to rank high in Google News. Firstly, it can improve click-through rates by providing more information about the article in search results. Secondly, it can increase the visibility of news articles in Google News search results and on the homepage. Finally, structured data can help publishers build stronger relationships with their audiences by providing them with more contextual information about the article.
To get the most out of structured data markup in Google News, publishers should follow best practices. Firstly, publishers should use relevant structured data types that accurately describe the content of the article. Secondly, they should ensure that the structured data is correctly implemented on the webpage according to Google’s guidelines. Finally, publishers should regularly test and optimize their structured data to ensure that it is up-to-date and accurate.
Structured data markup provides a way for publishers to improve their visibility and ranking in Google News Search results. Studies have shown that the use of structured data can increase click-through rates and improve ranking in Google News. As such, implementing structured data markup should be an essential part of any publisher’s SEO strategy. With the continued growth of digital news consumption, structured data markup is likely to become even more critical for publishers looking to stay competitive in Google News.