*This all gets pretty confusing,

[fomayof928@mowline]

Structured data can be used in many different ways, such as using Open Graph markup to specify Facebook titles and descriptions, or using SQL to query a relational database. In the SEO context, "structured data" generally refers to applying some type of markup to a web page, to provide additional detail around the page's content. This markup improves search engines' understanding of that content, which can help with relevance signals and also enables the site to benefit from better results in SERPs (rich snippets, rich cards, carousels, knowledge boxes, etc.). Because this type of markup needs to be constantly analyzed and understood by search engines as well as people, there are standard implementations ( known as formats and/or syntaxes ) and classifications of concepts, relationships, and terms ( known as terms ) that should be used.

There are three syntaxes that search engines dominican republic number data will generally support (Microdata, JSON-LD, and Microformats) and two common vocabulary that can be used with these syntaxes: Schema.org and Microformats.org. Schema.org can be used with both Microdata and JSON-LD syntaxes, while Microformats syntax and vocabulary go hand in hand. If you're reading up on the subject, you might also see references to RDFa, which is another syntax.

so if you're feeling less than crystal clear right now, you might want to check out this great dictionary cheat sheet by Aaron Bradley.

When we talk about structured data for SEO, we usually talk about a specific vocabulary called “Schema.org.” Schema.org is the most widely used method for structured data markup for SEO purposes. It’s not the only one, though. Some websites use the Microformats.org vocabulary, often مصنوعات کے جائزے کے لیے (h-review markup ) or descriptions of a physical location ( ایچ کارڈ مارک اپ )۔