By Valentina Izzo

3 years ago

Learn how Rank Math and WordLift can work together to achieve better performance of your website and make a difference.

SEO plug-ins, in WordPress, improve content findability, adding special features that affect search engine optimization, web analytics, online marketing, and other aspects.

Today there are numerous SEO plug-ins, each with specific attributes and compatibility. We have received multiple requests on the compatibility between WordLift and Rank Math. For this reason, we will dedicate this article to these two tools, comparing them and explaining how it is possible to use them together to obtain good results.

What is Rank Math?

Rank Math is an SEO plug-in that allows you to optimize your website based on widely-accepted best practices. It advises you on the steps you need to take to make your website SEO-friendly, thus achieving better search engine rankings. 

Rank Math analyses your website and suggests how to edit your posts’ settings and aspects for better SEO: keyword selection, performance monitoring, error monitoring, sitemap, image and video optimization. With Rank Math, you can also include schema markup from any page/post or URL on your site or another site on the internet.

Every time you write a new post, it shows you a simulation of how your post will appear on the search results page, rich snippets, and how it will look when shared on social media. After writing the text, scroll down, and you will find the Rank Math SEO section where you can preview it and decide to edit it for both Google and social media. 

What is WordLift?

WordLift focuses on SEO Automation and complements the functionalities of an SEO plug-in, for example, Rank Math.

Key to what WordLift does are entities. You can use entities for annotating and organizing the posts and the pages on your website. By describing entities and interlinking them, WordLift builds a vocabulary and creates a Knowledge Graph for you. Each entity is an interconnected piece that has been enriched with machine-readable information and turned from words into linked data.

The SEO value of a Knowledge Graph based on linked data goes far beyond featured snippets, voice search, and optimization for virtual search assistants.

These days, information overwhelms us, and it’s getting harder and harder to find the content we’re interested in. And that’s where a tool like WordLift comes in and does the magic: it helps you create better content that can guide users to discover what they’re looking for.

In terms of SEO, articles enriched with linked data become easier to find because they make information extraction much more efficient. The concepts mentioned in an article are annotated and linked with massive knowledge bases, such as DBpedia and Wikidata, to provide search engines with crucial information about a specific piece of content and its relevance to particular search intent.

Search engines and web crawlers can use this information, now better understandable to them, to directly answer users’ questions. In this way, your website will rank better and provide users with the relevant information they are looking for (in rich snippets, people also ask, etc.). The user who lands on your site will then take a path to make their experience significant and spend more time on your website.

Our artificial intelligence scans the content of your website and suggests which information is relevant to your business, adding structured data and building a custom Knowledge Graph.
Not only, but it also takes it one step further. It turns structured data into linked data, reinforced by the same sources that Google and search engines use to understand the web. In this way, your content is unique, with no possibility of ambiguity with other content, and gains authority.

It is a new approach to SEO: from search intent analysis to content generation, from building internal links to improving on-page user engagement.

Your content will be better understood by Google and other search engines, getting more visibility and, in turn, getting more customers.

Is Rank Math compatible with WordLift?

Yes, it is. If you already use Rank Math, you can also use WordLift. The work done by Rank Math and WordLift does not exclude each other. 

With Rank Math, you can write an SEO meta title and the meta description, your blog posts, pages, and other custom post types. 

Here’s how to do so if you’re using the Classic Editor:

And, this is how you add a title and description in Gutenberg:

If you use Rank Math with WordLift, the description is written directly by the AI, and you have to copy and paste it in the Rank Math window.  

With WordLift, you can add Schema markup without extra work. Once you configure the plug-in, you will be able to annotate your content and, by doing so, create an internal vocabulary for your website or blog. 

Every time you write new content, WordLift automatically suggests relevant content to mark up. Without additional steps, you can choose what entity type to assign to your content from the options in the side menu on the editor’s right. 

In addition, with the sameAs feature in the properties, you can add other linked data that reinforces the concept and makes it consistent with the online data. 

Adding structured data, WordLift builds a Knowledge Graph that includes the entities and relationships between them and makes the information understandable to all search engines. As a result, you will increase your rankings and get more organic traffic. 

To use Rank Math and WordLift together, you must deactivate the two modules of Rank Math where WordLift is automating your SEO: Schema and Local SEO & Knowledge Graph. 

Go to the Rank Math board and disable the two modules Schema (Structured Data) and Local SEO & Knowledge Graph. 

Then go to the post you intend to edit as you will see you can add structured data using WordLift.  

At the same time see projections of your SEO performance and edit Title and Meta Description using Rank Math.

How you see, you can use Rank Math and WordLift together. In this way, you avoid overlapping and use better the two tools, taking advantage of the features of both.

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