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What Is Structured Data for Seo? Know Everything


raziababy
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The Schema.org site contains a standardized list of tags that the major search engines - Google, Bing, Yahoo, and Yandex - have collectively agreed to support.

An example of structured data is a relational database such as a table. In this case, a structured query language (SQL) is used to interact with the linked data in the table. But schema also has much broader use cases that are incredibly useful for your customers.

If you searched for "bookstores in Oklahoma City" you will see a result like the one below:

how structured data markup improves SERPs
If you use a search engine like Bing, you will get a similar result.

Before we get into Schema.org, let's stick with the high-level structured data definition to explore its properties. Basically, it's just organized information. But what is the difference between structured, unstructured and semi-structured data?

Structured data vs unstructured data
If structured data is organized information, unstructured data is everything else: PDFs, images, videos, files, presentations, etc. they are not structured).

If you manage your tasks by dumping all possible ideas or tasks into a backlog as they emerge and incorporating priority tasks into your weekly USA Phone Number List , then you are used to moving from unstructured data to data. structured.

Structured data vs semi-structured data
Semi-structured data is, as you would expect, a cross between structured and unstructured. This is data that does not have a rigid structure, but rather relies on the use of tags, attributes, and metadata to communicate information quickly, like HTML. Much of what we produce on the web is, in and of itself, unstructured. But combine that unstructured information with a way to organize or find it - metadata on web pages, attributes on links - and the end product is semi-structured data.

This is also true for offline information.

A Word document in itself? Unstructured. A Word document with updated document properties so that you can view the author and date created when you right-click the file? Semi-structured data.

Photos alone in your photo library? Unstructured. Photos tagged with date and time? Semi-structured data.

Log off now: a book on your shelf with no words on the back? Unstructured. A book with a title and an author? Semi-structured data.

Web pages are semi-structured: unstructured content with metadata to help search engines understand what we're showing them. Then, just like a catalog of index cards, search engines rank all of those web pages so that people can access them.

What do we see on our side? A blue link in the SERPs. And where metadata makes those blue links possible, data structured in the form of schema markup takes them up a notch. Schema markup ensures that what appears in SERPs is more useful, more responsive to user needs, and more able to communicate information quickly.

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Google structured data for SEO
If you use the high-level definition, there are as many types of structured data as there are systems for organizing and quickly identifying information. But in the context of your SEO strategy, structured data refers to one thing: Schema.org markup.

It's worth mentioning that Schema.org is technically not the only fluent SEO markup vocabulary in town. Some websites use Microformats.org markup for product reviews or physical locations. But Schema.org is much more common.

Schema.org
Schema.org is a universally supported language that is consistent across all search engines. In fact, there are over 800 different definitions (or "classes") under Schema.org. And each has over 20 properties to define them with, more being added all the time. Between Spring and Fall 2019, Schema.org added four new rich results options, five Google Search Console improvement reports, and seven vocabulary versions.

But the language, or the code, dictates how the web page works (not the search engine).

Structured data tells the search engine how to display the page (or rather, suggests it). This brings us to search engine behavior, and there is no rule that all search engines must behave the same. In fact, there is a very good reason why they don't.

Since webmasters collectively agree on common snippets, they don't need to add 500 different snippets to every page of their site.

Supported formats
Schema.org supports many markup formats, but the most common are JSON-LD, Microdata, and RDFa. Here's a quick overview of the three main structured data formats in SEO:

JSON-LD
JSON-LD uses a JavaScript object to insert markup into the header of your page. We highly recommend that you use this light and simple format, as you can add it to your site without breaking anything. This is also the format that Google prefers.

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