What is schema markup?

Schema markup is a way to organize your unstructured data like text, video, and picture in a more comprehensible form for search engines. Given as it is, unstructured data is hard to decipher, extract meaning and find all the necessary relations between the words. That is why we use schema markup in a form of JSON-LD (JSON Linked Data form) to explain what this unstructured data contains.

What does JSON-LD mean in SEO and why should I use it instead of microdata?

This is one of the most important schema markup questions out there. JSON-LD is the preferred file format for search engines like Google and it represents a way to encode your linked data in a JSON file format. It is relatively easy for both humans and machines to organize this data in a JSON-LD format and that is why it was picked to be the modern default file format by the search engines.

Who is Tim Berners Lee and why is he important for the SEO world?

Tim Berners Lee is a British computer scientist and entrepreneur who invented the World Wide Web or better known as WWW at the European Organization for Nuclear Research (CERN) in 1989. The web itself is an information system that enables accessing documents and other web resources too. Tim wanted to invent a way to easily transport information data over the Internet for scientific purposes but eventually, this project took another direction and expanded over the world. That is why today Tim Berners Lee is known as the father of the WWW.

What is the intersection between the WWW and schema markup?

The official web platform for learning about schema markup and its implementations, known as Schema.org was invented as a result of the WWW because people wanted to find a way to easily exchange documents over the internet. There is an established consortium called the W3C consortium which cares about producing standards for the world wide web. Its general mission is to help utilize the whole potential of the web. One of the priorities is making the data more exchangeable and accessible and this is where schema markup comes into play.

What you should consider when implementing schema markup?

In general, it is very important to understand your own industry and the business model in the first place. Schema markup is definitely the way to help search engines like Google understand your content better but you must be aware of the fact that this can affect the speed of the webpage where you are implementing it.

How can schema markup help your business?

This schema markup question is absolutely essential: the main reason for using schema markup is to give information to search robots . It is easy and straightforward because you do not need to analyze anything – the bot just comes to your website, searches for structured data markup, gets that info, and uses it to feed different machine learning algorithms in the ranking phase. The other reason to do so is to gain more visibility through rich snippets shown on search engine result pages (SERPs) – Google, Bing, and other popular search engines on the Internet use this information to show the data in a more visually rich manner, like ratings, map packs and other visually rich features on SERPs.

How can you measure the performance of your schema markup on your website?

You can achieve this by using t he Google search console . You can go to the Performance tab on the left and analyze concrete pages by entering the URL manually or through a regex to see how they perform (Page or Query). Another way to inspect the result of your schema markup implementation is to use the search visibility feature . Finally, you can measure the value of structured data by performing A/B tests and visualize the search performance in Google Looker Studio. WordLift has its own Looker Studio Connector that you can use for this purpose to inform your SEO strategy in a more intelligent way.

Can you name 5 different schema markup implementations that are often used online?

For example, you can use the “LocalBusiness” schema type to markup your company online or “Person” to explain different person characteristics on the net.” Product” is definitely more used on eCommerce and classifieds platforms, while “Organization” and “Breadcrumbs” are also useful when “explaining” category pages and individual product detail pages. It always depends on the business case that the webmaster is facing in the first place.

How can you validate the structured data you have produced?

It is always nice to validate your JSON-LD before publishing online otherwise, you will encounter a lot of reported mistakes that need to be fixed in tools like Google search console. There are some Python libraries that help with schema validation but you can also use Google tools like the Schema Markup Testing Tool or JSON-LD playground website. Make sure that you are writing a proper JSON-LD markup implementation before publishing it online.

What’s the future of schema markup (structured data)?

Having in mind how complex it is to process these visual appearances online, it can be expected that schema markup will rise even more in the future because we will always need to find a way to explain our product, offerings, and business information online. Schema markup is here to stay .

WordLift for Google Looker Studio: How to Create Semantic SEO Reports

Table of contents:

What is Google Looker Studio?
How to create semantic SEO reports with WordLift
- Getting started with WordLift for Google Looker Studio
- Benefits
Other Frequent Questions

What is Google Looker Studio?

Looker Studio is a great, free data visualization tool from Google that lets you collect data in informative dashboards and reports that are easy to read, easy to share, and fully customizable. The data comes from various sources such as proprietary databases, Google Analytics, Google Search Console and social media platforms, and you can blend them without programming.

[official video by Google]

How To Create Semantic SEO Reports with WordLift

The Semantic Web has changed the way we approach web content. As we know, Google is changing the way it crawls web pages, focusing not just on keywords (which are still important) but on concepts and then entities.

Adding structured data to your website means that you are enriching your data with information that allows Google and the search engines to better understand what the content of your website is about. This way you can get better rankings, more organic traffic and provide users with a more relevant user’s experience.

So, with structured data, you can make a difference for your business. However, it is often very difficult to show the SEO structured data value and thus a semantic SEO strategy.

If you have WordLift, we have the solution for you! You can use the Looker Studio Connector to understand and show others the results you have achieved by working with entities on your website. Let’s go and see how it can help you implement your semantic SEO strategy.

Getting Started With WordLift for Google Looker Studio

With WordLift Looker Studio Connector, you can create Semantic SEO reports by loading data from your Knowledge Graph right into Looker Studio and blend it with Search Console or any other web analytics platform.

The first step to start creating your semantic SEO report is to search for WordLift on the Google Looker Studio connectors page.

Just click on it and enter the WordLift key. And we have a GraphQL query ready for you, so you don’t need to do anything to get started. In case you are a power user and you know the query that you want to run, just continue. For example, if you are running an e-commerce website, maybe you want to query for product attributes or prices. Then be sure to keep checking the box “use report template for new report”, so you can get a shiny new report premade for you. Then click Connect. Here you can see the fields that come from the report. Finally, click Create Report!

At this point, you are close to creating your report, but two more steps are needed:

To go to the managed data sources and add your Search Console data source: choose your website, choose URL Impressions anche choose Web Type, and then click on Create.
Check the blends to verify that the data is merged from the Knowledge Graph and GSC.

Save and enjoy the report🤩
You can filter the data for EntityType and choose the period of time you prefer.

Benefits

If you use WordLift Looker Studio Connector for your semantic SEO strategy, you can have these benefits:

Everything in one place. You can create a single source of truth about your SEO and business performance.
Learn more about your audience. You get meaningful data about your content that helps you learn more about your customers and optimize your SEO strategy.
Useful data. You’ll be able to identify new queries and search intent to optimize your content.
Improve SEO reporting and gain new insights. Take your SEO reporting to the next level and easily gain valuable insights into your keyword rankings, traffic, and more.

Now you can focus on semantic web analytics and the advantage that you can gain in modern SEO without worrying about how to prove the benefits.

Discover more about how to create a Web Analytics Dashboard using Google Looker Studio, traffic data from Google Analytics, and WordLift, reading this article.

Learn how to create a Semantic SEO Report in 3 simple steps👇

WordLift for Google Looker Studio: How to Create Semantic SEO Reports

What is Google Looker Studio?

How To Create Semantic SEO Reports with WordLift

Getting Started With WordLift for Google Looker Studio

Benefits

Other Frequent Questions

Are Looker Studio connectors free?

Must Read Content

Are you ready for the next SEO?
Try WordLift today!

WordLift for Google Looker Studio: How to Create Semantic SEO Reports

What is Google Looker Studio?

How To Create Semantic SEO Reports with WordLift

Getting Started With WordLift for Google Looker Studio

Benefits

Other Frequent Questions

Are Looker Studio connectors free?

Must Read Content

Are you ready for the next SEO? Try WordLift today!

Are you ready for the next SEO?
Try WordLift today!