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Schema.org
To understand the role of Schema.org In order to improve our natural referencing, we first need to know its definition.
In this article, we're going to introduce you to the basics of Schema.org and explore its usefulness in terms of SEO.
Schema.org is a collaborative project initiated by web giants such as Google, Bing, Yahoo and Yandex, to create a shared vocabulary for structuring data on the Internet.
This is an initiative aimed at defining a standard for structured data enabling search engines to better understand the content of web pages and provide more relevant results for users.
Using this standardised language makes it easier for search engines to extract precise and relevant information from web pages, improving their understanding of the content and facilitating indexing.
This can also help generate enriched extracts (rich snippets) which are additional pieces of information displayed in the organic search results.
Schema.org is based primarily on three widely adopted formats (supported by search engines) for describing specific elements in a web page: RDFa, Microdata and JSON-LD. Each has its advantages and disadvantages, but they all share the same objective: to add metadata to content to make it easier for search engines to analyse it.
The Schema.org vocabulary is vast and covers a wide range of domains and subjects. Here are some of the most commonly used types:
To use Schema.org and benefit from its advantages in terms of natural referencing, you need to implement the corresponding tags in the code of your web pages. Here are a few steps to help you:
In short, adopting the Schema.org standard can bring significant benefits to your natural referencing strategy.
This improves search engines' understanding of your content, which increases its chances of appearing higher in search results.
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