Structured data refers to kinds of data with a high level of organisation, such as information in a relational database.
Structured data is organised in a specific format, such as a table or spreadsheet.
The structure allows for easy organisation and manipulation of the data, and it can also make it easier for software programs to understand and process the information. Examples of structured data include databases, CSV files, and Excel spreadsheets.
When information is highly structured and predictable, search engines can more easily organise and display it in creative ways. Structured data markup is a text-based organisation of data that is included in a file and served from the web. It typically uses the schema.org vocabulary—an open community effort to promote standard structured data in a variety of online applications. Structured data markup is most easily represented in JSON-LD format, which stands for JavaScript Object Notation for Linked Data. There is doubt that structured data that produces rich snippet "bling" that improves SERP click-through rates (CTR).
Structured data markup is a text-based organisation of data that is included in a file and served from the web. It typically uses the schema.org vocabulary—an open community effort to promote standard structured data in a variety of online applications. Structured data markup is most easily represented in JSON-LD format, which stands for JavaScript Object Notation for Linked Data.
There is doubt that structured data that produces rich snippet "bling" that improves SERP click-through rates (CTR).
Virtually every search engine expert on the planet will tell you that organic click-through rates are a major search engine optimisation ranking factor. Thus, structured data has a very high correlation with search engine rankings.
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