If you are a web content writer, there is no need to remind you all the struggle you have to distribute your content. Maybe you spend hours – or even days! – of hard work writing awesome content, and when you finish your text with the last full stop, you know that your job has just begun. Now it’s time to fine-tune your content for SEO purposes, share it on several channels, monitor search keywords for your next article… We’d love you to focus only on writing: wouldn’t it be a real pleasure?

Adding semantic markup to your pages, blog posts, and articles, WordLift can help you distribute your content. How? To explain it, we need to do a few steps back: first of all, you need to know what schema.org is.


Schema.org is an initiative launched in 2011 by the world’s largest search engines (Bing, Google, and Yahoo!) to implement a shared vocabulary and adopt standard formats to structure data on web pages. Learn more about schema.org

The point you need to know is: schema.org markup helps machines understand your content, without fail or vagueness. 


Google Search - Rich Snippet

The second position shows the results from the website Camminandocon.org which uses WordLift.

While crawling the web looking for some specific content to be served to users, search engines will unquestionably identify the context your articles belong to. Nowadays this is the most effective and affordable way to distribute your content to those who are looking for it through Search Engines.

The example on the left shows you the results of a search regarding the upcoming events at Borgo di Antuni, a small town in Italy. As you can see, the second result consists of a rich snippet which has 3 links in total (one article and two events) and allows you to skip directly to the next events. This happens because search engines detect in the website’s content the structured data which matches the user’s answer. It’s been proven that rich snippets increase the Click Trough Rate: so, more qualified traffic for you, here!

Intelligent Agents

Salzburgland.com uses WordLift to structure its content.

Moreover, you can explore new ways to disseminate your content based on chatbots, which can serve your just-baked articles to your readers depending on their interests.

In the image on the right side, you can see how Intelligent Agents such as Google Allo can answer your voice search questions with appropriate content if they are correctly structured.

To learn more, read this useful article about how to set-up your first chatbot.


The good news is: while developing the release 3.10 of WordLift, we focused on making more accurate than ever our schema.org markup.

Now we can say – without fear of contradiction – that our Plugin offers you one of the most extended sets of markup to structure data on a WordPress website… without writing a single line of code!

We would like to greatly thanks the SEO specialist Jarno Van Driel whose support has been very valuable to these improvements and new features we plan to add to WordLift. If you don’t believe us, believe Jarno when he writes that WordLift 3.10 generates beautiful 5-star – schema.org powered – linked data graphs.

Here is a list of improvements on the markup that SEO specialists and geeks ? are going to appreciate:

  1. ARTICLE: we’ve added the markup schema.org:Article for each article/blog post, publishing it with the property Main Entity of Page {mainEntityOfPage} to help machines understand what is the main entity of your page. Simply put: we say to Google and to the other search engines that this web page is an article. To know more about this property, read this how-to by Jarno Van Driel.
  2. PUBLISHER: about each article, we also communicate the publisher information as structured data. The publisher can be an individual person with his/her proper name or an organization with a name and even a logo.
  3. ID: while in the previous releases of WordLift, we didn’t publish the Publisher ID, now we do! What is an ID, and why it is so important? For each entity, article, and publisher, we generate a permanent ID: a unique identifier which is fundamental in the context of 5 stars Linked Data because it allows the connection between data on the web. Each entity, article, and publisher can be connected to other data, hosted – for example – in WikiData, with the “same as” property and each of them can also be decoded with a JSON-LD data representation.
  4. RELATED ENTITIES: we used the meta tag “mentions” to say which entities are mentioned. In this way, you’ll have a hierarchy or entities where the main one defines the article itself and the other ones are recognized as mentioned on it.

? WordLift uses JSON-LD to inject schema.org markup in your web pages. Click here to see the magic: it’s a gif which shows you the data representation of this article with JSON-LD! ?

To play around with JSON-LD markup that WordLift created for this article head straight to the JSON-LD Playground.

In WordLift 3.10, there are also some other secondary updates and a few fixes you can see on WordLift’s changelog.

If you are using WordLift, update it now to the latest release. If not… why not? ?

Sei pronto per la nuova SEO?
Comincia a usare WordLift oggi stesso!