Structured Data Testing Tool Bye Bye! Top 6 alternatives to validate your markup

Structured Data Testing Tool Bye Bye! Top 6 alternatives to validate your markup

Google’s decision to shut down the Structured Data Testing Tool to enhance Rich Results Test usage has raised an engaging debate in the world of SEO. Is this good news for experts around the world or it’s time to look for better alternatives? We might have the answer to this question.

On July 7, 2020, Google announced the upcoming shutdown of the Structured Data Testing Tool, an instrument widely used to date by SEO experts to verify the correct implementation of the structured data on a webpage. The decision is closely linked to the announcement of the release from the beta version of a new, more effective, testing tool, Rich Results Test. As Google explains:

“Rich results are experiences on Google Search that go beyond the standard blue link. They’re powered by structured data and can include carousels, images, or other non-textual elements. Over the last couple of years, we’ve developed the Rich Results Test to help you test your structured data and preview your rich results.”

To announce the transition from one tool to another, Google has also added a new message to the closing tool.

As you can read in the official documentation, the new tool brings more advantages to the analysis and more targeted advice on improving structured data, including:

  • Showing which Search feature enhancements are valid for the markup you are providing
  • Handling dynamically loaded structured data markup more effectively
  • Rendering both mobile and desktop versions of a result
  • It is fully aligned with Search Console reports

The tool can be used to test both code snippets and web page URLs and provides users with errors and warnings. The errors prevent a page from being displayed with the multimedia results in SERP, while the warnings indicate that one or more elements concerned will not be shown in the rich results. For example, as specified in the documentation, if there was a warning for a missing image property, that page could still appear as a rich result, just without an image.

The analysis of valid structured data on Rich Results Test
Here’s how the new tool highlights errors and helps you improve them

As announced by Google earlier this month, Rich Results Test is finally out of beta and fully supports all Google Search rich result features. The tool was born in 2017 as a solution to test rich snippets, rich cards, and all other multimedia search results. When it was launched, however, it only supported four types of structured data: recipes, job listings, films, and courses. It has now been updated and finally supports all types of structured data that can be seen in SERP on Google.

Rich Results Test: is it the best solution to test structured data? What are the limits of the tool?

Rich Results Test is ready to replace the old Structured Data Testing Tool. Is it good news? For now only in part, as the international SEO consultant Aleyda Solis points out in a tweet:

When Aleyda Solis wrote this feedback it was clear that Rich Results Test wouldn’t support all types of structured data, but only those that trigger Google Rich Results. Turns out she wasn’t the only one raising the issue and this week Google’s John Mueller said that the company heard the feedbacks and that “we are planning on expanding the Rich Results Testing Tool.”

As he explained, the original idea was to simplify the job for those who were only interested in the “types of structured data that actually have an effect in search. And that’s why we focus on the Rich Results Tool which focuses on the things that we would show as Google in the search results.” But SEO experts want it all. We’ll stay updated to learn more about future improvements to the new testing tools.

However, the launching of a new tool is always an exciting time to discover new features and understand how they can help us improve our content to win the front row seats on Google Search, especially if we are talking about Rich Results. But it also opens up an important question: what if there are other, better, tools out there? Let’s take off the tooth right away and find out the best alternatives outside the Googleplex.

Top Structured Data Testing Tools

First of all: do you really need to use a structured data testing tool? Absolutely yes. These testing tools are extremely useful as they give you a lot of important information on the deployment of the structured data in your web pages, providing insights about how the search engines read these data and if they are eligible for Rich Results. Of course, each testing tool is different and can help you improve your structured data through several features. Let’s take a look at the most interesting structured data testing tool out there!

SEO Site Checkup

Price: $39.95 with a 14-day free trial

SEO SiteCheckup is a website analysis tool that contains more than one tool, including the “dear old” Structured Data Testing Tool, in one-window service. All you need to do is paste the URL of the site and click Checkup to validate the structured data, check the schema usage, monitor your website SEO, and display any issues that need to be fixed such as page load speed, URL redirects, and mobile responsiveness.

Yandex Structured Data Validator

Price: Free

If you think you’ll miss the Structured Data Testing Tool, Yandex Structured Data Validator is a suitable alternative as is very similar to the Google tool. Along with check the markup on your site, this site helps you monitor how the structured data is processed and “seen” by search engines and whether the crawlers will be able to extract the information present in the structured data. 

RDF Translator

Price: Free

RDF Translator is a multi-format conversion tool for structured markup. The main value of this tool is that, unlike most other free tools out there, it supports data formats such as XML, N3, and N-Triples. Along with the use of RDF Translator to validate your structured data, you can also incorporate the tool on your website, as it comes with REST API for developers.

JSON-LD Playground

Price: Free

It comes by itself that JSON-LD Playground is the best tool for validating JSON-LD structured data format. The use is quite simple: you just have to enter the markup code with <script type=’application/ld+json‘> or the URL of the remote document and wait to get a detailed report.

Bing Markup Validator

Price: Free

Bing Markup Validator is a part of the Bing Webmaster Tools that also includes SEO Analyzer and Keyword Research Tool. This tool is particularly useful to verify your webpages markup and get an on-demand report that helps you validate different types of structured data such as HTML Microdata, RDFa, JSON-LD, OpenGraph, and Schema.org.

Structured Data Linter

Price: Free

Structured Data Linter is a pretty minimalistic tool that helps you verify the structured data present in your web pages by simply pasting the URL of a page or a code or by just uploading a file. It supports RDFa and JSON-LD but at the moment does not support microformats.

We’ve seen the best alternative to Google’s Rich Results Testing Tool, but what about data quality monitoring?

Ok, at this point you have an overview of the new Rich Results Tool and of the most suitable alternatives out there that will help you check the markup in your web pages. But is that the best you can get? Our answer is simply: no.

As avid structured data users ourselves, having developed a powerful AI SEO tool that relies on data quality in order to enhance the content of a website and make sure that connects in the right way with search engines, we decided to build our own testing and monitoring tool.

Yes, you heard right! We think to know exactly what you need not only to validate structured data and find any error but also to do it in a smart, time-saving way. How? Take a look at the most relevant features of our tool:

  1. UPTIME. Test your structured data availability automatically worldwide
  2. VALIDATION. Ensure that data is always valid. We alert when something breaks, or if Google’s rules have changed
  3. ALERTING. Get alerted by WordLift when errors or warnings are found
  4. GUIDES. Learn how to improve your website rich result’s performance

Testing is crucial, but what about monitoring? Our new WordLift tool not only gives you an exhaustive report to constantly keep control of your quality data but also alerts you when you need to intervene, making your job easy and your markup secure.  

Uh, didn’t I tell you? You can also take advantage of our dedicated technical support!

How to turn your content model into a powerful marketing and SEO weapon

How to turn your content model into a powerful marketing and SEO weapon

Providing your website with a structured content model is not only the best solution to better organize your content, but also a powerful strategy to improve the SEO of your website and increase organic traffic.

In this article, we’ll explain how the WordLift entity-based model, coupled with the new feature WL Mappings, will allow you to add a more specific markup to your content and to obtain a Knowledge Graph capable of communicating to search engines in a more effective way.

Why is the content model becoming a key tool for SEO?

During his webinar on content modeling for SEO in the WordLift Academy, Cruce Saunders highlights some of the main features that make the content model an indispensable tool for managing and enhancing online content.

In fact, the content model:

  • Specifies how information is organized on your website
  • Makes content more visible to search engines
  • Allows you to reuse content through different channels

Structured content model, in short, not only allows you to better organize data and information but to do it within a malleable structure capable of communicating:

  • to search engines through the use of structured data
  • to users through the enhancement of the user experience and the possibility of reusing the content by presenting it in the form of different layouts both on the site and in the SERP to respond to specific search intents (the same article, for example, may appear in the form of a snippet, of blue link, promotion, etc.)

Structuring your content model means creating a three-dimensional identity capable of highlighting your content and the relationships underlying it. This allows search engines to recognize you among hundreds of pieces of information, making you more visible to users who correspond to the search intent related to your business.

The more the content model is rich in structured data, the more chances you’ll have to meet exactly the users interested in you. That’s why we created WordLift Mappings, a new feature that allows you to select the information and connections that are truly relevant for your business and to create an increasingly specific and refined Knowledge Graph to highlight only the most relevant facets that make your identity more authoritative. 

Through our entity-based model and WordLift Mappings, your content model becomes a powerful SEO weapon and a valuable resource to increase the value of your online data.

WordLift Mappings helps you create a custom Knowledge Graph and increase your online authority

WordLift creates a personalized and highly performing Knowledge Graph through the schema.org markup and the creation of a customized entity-based vocabulary containing the most relevant data to help Google better understand your online content.

Remember that Google uses entities to satisfy users’ search intent and allow them to find the best results. For this reason, an increasingly refined entity-based model such as WordLift is key to increase the visibility of your content for search engines.

WordLift Mappings increases the accuracy of this process and allows you to take greater care of your content and your Knowledge Graph.

Advanced Custom Field for Schema.org: how the new WordLift extension works

By connecting to ACF (Advanced Custom Field), a WordPress plugin that allows you to create advanced fields to specify the attributes that characterize your content, WordLift Mappings allows you to structure your data starting from the fields that you have already configured with ACF or from new fields based on the schema.org taxonomy.

This means having more and more structured content, which can be used to add relevant details to your Knowledge Graph and shaped in different configurations to improve the user experience.

In this webinar, Andrea Volpini and Jason Barnard explain how they used WordLift Mappings to improve Jason’s content model and Knowledge Graph. Jason shows how he obtains a Knowledge Graph in which only the most relevant data to create an authoritarian and coherent Brand SERP are structured to stand out in the search results.

With over 100 podcasts made in collaboration with some of the greatest SEO experts on the planet, Kalicube – Jason Barnard‘s website – has an enviable wealth of content, relevant to the entire digital marketing sector. Thanks to WordLift Mappings, we helped Jason structure this content by following a model that focuses on content, events and people. Thus, each guest of Jason’s podcast has his own page connected with the podcasts in which he participated and with the events in which the podcasts were recorded.

In this way, the architecture of the Knowledge Graph is customized on the basis of the content model and the “network” of the links between the contents becomes the bearer of meanings and allows you to predict further connections. Below you can see the entity-based content model applied to Kalicube through WordLift Mappings.

What can you realistically expect in terms of traffic? How long does it take?

In recent weeks, our SEO team has implemented a new content model on the site of an American customer who deals with the dismantling and re-evaluation of used hardware on a large scale.

The results? After the first week, traffic increased by 14.6% and the growth curve does not seem to stop. To analyze the impact, isolating other factors that may influence the SEO of the site, we have developed a predictive model based on Bayesian networks which, analyzing the traffic in the month preceding the introduction of the WordLift Mappings, allowed us to isolate the benefit to the net of other ranking factors (it’s called causal inference analysis).

Here we see the real clicks in black and the traffic we would have had in blue (that is, the traffic predicted by the mathematical model), then in the following chart the difference between the real traffic and the estimated traffic and finally the delta of increase. In this way, we can be sure that, as analyzed, it has statistical relevance and is related to the introduction of the new content model. 💪

Data source: Google Search Console

In summary, WordLift Mappings allows you to:

  • Build a Custom Knowledge Graph based on your content model
  • Improve the SEO of your website through structured data
  • Shape the structure of your content to improve the user experience
  • Reuse chunks of content through different configurations to respond to different research purposes
  • Enhance any type of content composed of reusable elements (articles, courses, events, How-Tos etc.)

The implementation of a custom Knowledge Graph through WordLift Mappings has a positive and measurable impact on traffic.

Drew Gula is the copywriter at Soundstripe, a company that creates royalty free music to help businesses produce better video content.

Drew Gula

Copywriter, Soundstripe

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