Get to know your content and turn insight into action
The more you know about content, the easier it is to reach your readers by capturing search engines traffic. We’re happy to introduce a new dashboard to help you understand your content and to improve your editorial plan.
WordLift’s knowledge graph is the semantic representation of the content on your website. Every article and every page is annotated with one or more entities. These entities are accessible on the front-end as web pages (topical hubs) or are simply used by WordLift to add structured data markup depending on the way the plugin is configured.
The new content Dashboard
Your new Dashboard will help you quickly take action on insights about your content, including:
Most relevant entities. Find out which concepts are more prominent on your site (prominent = highest number of annotated posts), so you know if this is what you’re aiming for.
More connected entities. Spot entities that are mostly connected with other entities; these are concepts that help you build the context for your readers (they explain the things you talk about). You might want to create more articles around it when you have an entity that has lots of links to other entities and fewer articles.
Target articles to enrich that have not yet been WordLifted (one single click to Enrich) or focus your attention on improving your entities (with just one click on Boost). These links take you to the list of articles and the list entities that you can improve. Jump right on it and check it out yourself.
What are you waiting for? Let WordLift analyze your content for you. Download our plugin and unleash the power of semantic technologies.
Take full control of your search rankings
Find out the content that really ranks on Google
After many meetings, an endless number of sketches commits on git and tons of love, we are really happy to bring a brand new search ranking tool to our Editorial and Business subscribers, developed in partnership with Woorank.
Connecting with your audience isn’t just about ranking high on Google with a single keyword. When we write, in order to be relevant for our audience and following the introduction of Hummingbird, we need to focus on topical hubs.
To truly optimize your site for Google’s new semantic understanding of the user queries we have to think in terms of entities and not just keywords.
Moreover, we have to consider:
the connections between entities and
how these relationships help us build the context for the content that we are producing
To help you make this switch from keywords to entities we have created a tool that helps you track your rankings using the entities in the vocabulary of your website.
Here is how it works:
The Keywords configuration panel
You get to choose the keywords that matter the most for your business (or the top 200 keywords the site ranks for) and WordLift will track the rankings on a daily basis across the entire site.
The Search Rankings widget on this blog
Under Search Rankings, you will find the entities that are driving the organic traffic on your website (the larger the tile and the more the concept is standing out on Google).
This data helps you immediately see if you are connectingwith the right audience. Instead of scanning hundreds (or even thousands) of combinations of keywords and pages, in one single treemap, you can see what entities matter the most. Behind each concept, you might have one single page (i.e. the page for that entity) or hundreds of pages that you have annotated with that entity.
Here are just a few of the ways that you can use to turn this data into action:
Click on one entity and you will see the list of pages behind it and, in the table below, the different types of keywords that this topic is intercepting. Go ahead and build new pages for this topic or improve the already existing content to match what users are searching for.
Here is a quick overview of the cluster behind “Named Entity Recognition” on our website.
Is the entity relevant at all? If it is, how many pages, do you have on this topic? Would it better to expand this cluster by writing more about it? Then go ahead and start creating fresh new content for it.
Click on the three dots in the right bottom corner and keep on exploring all the other concepts that are driving organic traffic to your site. The more you dig the more you will explore what you are relevant for in the eyes of Google and your readers (higher levels in the treemap correspond to higher traffic volumes).
To calculate the size of each tile, WordLift is using an algorithm that we created similar to Google’s Pagerank to assess how much an entity is relevant in terms of search rankings on your site.
WordLift takes into account, with its Entityrank, how many pages have been annotated with that entity, how many other entities have been used to classify these pages, the search traffic the entity page is getting and the search traffic each keyword is bringing to the cluster of all the annotated pages.
This data is a real treasure box to help you boost the ROI of your content. Is the content you are writing the same content that people find on Google? What are the entities with a higher return for your site (i.e. “Artificial Intelligence” for us as well as “SEO” are responsible for the activation of the new trials)?
This and many other questions that you might have on your organic reach have an immediate answer with this widget. It’s time to find out — and to gain new insights in just a few clicks.
Spoken Languages: Arabic (Native Speaker), Italian (C2), English (C1).
Bio: An SEO Expert and Digital Marketing Specialist based in Rome. His expertise includes Digital Marketing, Search Engine Optimization, Search Engine Marketing, Keywords Research, and Conversion Rate Optimization. He can’t say no to pizza.
Let’s Get to Know Doreid
What’s your Superpower? Analysis and numbers, studying the main web metrics, keyword research and discovery, data analysis, competitor analysis, and content optimization to get results and managing the development process.
Where have you lived? Where did you grow up? I was born and grew up in Syria then I moved to Lebanon where I spent some time before settling in Italy in 2013. I worked in the Hospitality & Tourism Sector moving from hotels in my country to the Royal Group of Rome and finally with Marriott International along with the Digital Marketing Sector.
What do you like to do in your free time? Football, computer, TV & traveling.
If you could describe yourself with an app, what would it be and why? Google Ads App that keeps campaigns running smoothly-no matter where your business takes you, because I am results-oriented, constantly checking in with the goal to determine how close or how far away we are and what it will take to make it happen.
If you could be in the movie of your choice, what movie would you choose and what character would you play? La Casa de Papel “Money Heist”, I think I would be a perfect fit for the role of “The Professor”.
3 things you love the most about being a Wordlifter: Working with a highly skilled passionate and well-organized team. Making SEO in all the languages I speak for WordLift international clients. The variety, it is always changing and evolving and I enjoy watching the process of a creative idea grow into a successful business.
Helping editors organize, monitor and optimize search rankings
An entity-centric approachthat uses the knowledge graph to help editorial teams improve the organic visibility of their content. In this presentation, you will see how a knowledge graph can become a new powerful digital marketing asset to improve the organic traffic on your website.
Small and mid-sized editorial teams may struggle to identify and prioritize topics within their editorial planning. What if they don’t know what to write next? Or which topics performed the best in the past 3 months? How they can be sure that their pieces match the interests of their target audience? And how could it be possible to improve the organic traffic on their site? These are the questions we want to answer by bringing actionable data in the hands of web editors.
We’re thrilled to announce that the Arabic Translation for WordLift is now in action and has been completed thanks to the amazing efforts of our colleague Nevine Adel Abdel Rehim, who works for our sister company in Egypt, insideout10. Kudos to Nevine!
While WordLift’s Natural Language APIs, the pre-trained machine learning models that WordLift uses to reveal the structure and meaning of your articles, already supported the Arabic language, the user interface of the WordPress plugin was available only in English and Italian (some of it is also translated into German and Danish).
Thanks to Nevine’s help now, clients like the American University of Cairo and Merck in Egypt, along with thousands of other Arabic speaking WordPress users, can now automate their SEO using WordLift in their own native language.
Localization is key. In order to let our Arabic colleagues, partners and clients, that are already using WordPress in their native language, use WordLift with full confidence we decided to fully localize the plugin in Arabic.
Helping Translate WordPress in Your Language
WordPress is available in many languages and can be translated into other languages as well. WordLift as any other plugin on WordPress can be translated into other languages using translate.wordpress.org a web-based translation tool that allows anyone to contribute translations of WordPress core and any Themes or Plugins hosted on WordPress.org.
When you install a new plugin, you certainly feel more comfortable if they are in your native language. Your user experience is better if you can read everything – from the readme to the meta-boxes and buttons – in your own language.
2019 has just begun and this is really the first result to celebrate: from now on our semantic plugin can be used also in Arabic ? Isn’t that awesome?
In this article, we analyze how we can optimize the content on our website to gain premium real estate in Google SERP, by providing hyper-relevant information for the Google Knowledge Graph.
What is Google Knowledge Graph?
The Knowledge Graph is a vast database launched by Google on May 16, 2012 designed to provide more useful and relevant results to searches using a semantic-search technique. Find out more about the Google Knowledge Graph.
Every day, here at WordLift, we spend a great amount of time talking with experts in the digital marketing world and experimenting new ways to stand out on Google and Bing by getting better at organizing knowledge.
To help websites improve their SEO our secret weapon is to create a knowledge graph that is openly accessible to crawlers and linked from the content of the website using structured data markup.
What is a Knowledge Graph?
A knowledge graph acquires and integrates information into an ontology and applies a reasoner to derive new knowledge.
(Lisa Ehrlinger and Wolfram Wöß – University of Linz in Austria)
The term knowledge graph has been frequently used in research and business, in close association with Semantic Web technologies, linked data, web-scale data analytics, and cloud computing. At SEMANTiCS, a few years ago, a research paper titled “Towards a Definition of Knowledge Graphs” by the Institute for Application Oriented Knowledge Processing of the University of Linz was presented to propose a definition of the knowledge graph that focuses on data modeling and reasoning.
A knowledge panel is information about a business, a person or a topic in a box that appears to the right of Google search results. The information in the box is powered by Google Knowledge Graph and provides all sort of relevant facts about an entity.
Knowledge panels are a great way to gain visibility in Google search results and an entry point also for voice search in most cases. There are mainly two types of panels:
Local Panels that display information about a business that has an open Google My Business account
Brand (or personal) Panels that display information about an organization with a certain degree of authority. In our case having an article in Wikipedia was helpful to gain this panel.
While it is much harder to influence Google in creating a branded or personal knowledge panel we have succeeded in several cases with both organizations and persons that did not have a presence in Wikipedia.
Have a look below at the knowledge graph panel of TheNextWeb and all the information that it provides to online users.
Why creating your own Knowledge Graph improves SEO?
Imagine the knowledge graph behind your website as the scaffolding that lets crawlers and bots access to your content in a smarter and more efficient way. Much like Google uses the graph, as the engine to power up its search results, a graph that describes the content of a website helps machine understands what this content is really about.
Whether is a featured snippet showing on the SERP of Google or an app providing an answer using the voice like Cortana, Alexa or the Google Assistant, in the back, everything depends on the data that connects articles and facts in a machine-friendly form.
This is why having your own knowledge graph helps you make your content easier to be found and more accessible. Let’s dive into the practice and let’s try to ask the Google Assistant something like “what is Semantic SEO“. You will get as answer a snippet of content taken from this same blog.
What is Semantic SEO on the Google Assistant
The more metadata we make available to semantic search engines like the one used by Google Assistant and the easier it gets for these machines to understand the relevancy of our content in relation to a specific intent. Let me give you another example of content findability in the new world of personal assistant search optimization where a knowledge graph comes into play.
Here below the query to trigger is “tell me something about WordLift“. In this specific example, the Google Assistant proposes to the user the invocation of a Google Action called Sir Jason Link that can match this request.
The Google Action – Sir Jason Link – has been created using the graph data behind this website much like in the previous example.
The Google Assistant has analyzed the content of the Google Action (imagine a Google Action much like an app for the Google Assistant or the equivalent of a skill for Amazon Alexa) and probably has seen that the content matches the content on this website. The assistant is, therefore, suggesting to users, that might not know Sir Jason Link, to invoke it when asking for our product.
There is more SEO value than featured snippets, voice search and personal assistant search optimization in creating a linked graph with the metadata of a website.
In today’s digital world, publisher and readers are overwhelmed with information and it gets increasingly complicated to discover the content we really want. Semantic Technologies, like WordLift, do the magic and help publishers create better content while guiding readers in finding the content they want.
In SEO terms, articles enriched with semantic information, improve their findability by making information extraction more efficient. Concepts mentioned in an article are annotated and linked with extensive knowledge bases (such as DBpedia, Wikidata, Geonames and the Google Knowledge Graph) to provide search engines with key indications on why a specific piece of content can be relevant for a given search intent.
More importantly – all the information is structuredin a graph – this means that a search engine can process, all it has to know about an article, much like we do when looking at the nutrition facts label on a pack of spaghetti. All the relevant information is condensed in a label that is easy to read and organized in a standard way.
How Google uses the Knowledge Graph to answer your questions?
In this webinar organized by Jason Barnard, I had the opportunity to discuss with Bill Slawski and Cindy Krum how Google is using the Knowledge Graph in its AE algorithm and how things really work. If you want to dig into the topic of Knowledge Graph and SEO watch it now!
OK, so how is WordLift’s Graph getting smarter?
Just like kids, when starting to learn a language start with the names of the things they see around them, the vocabulary that editors could create with WordLift was primarily made of concepts and names.
Just like other major knowledge bases like DBpedia and Wikidata, WordLift‘s Knowledge Graph has been built around concepts (or entities) and the relationships between these concepts.
As we progress, and the use-cases we deal with become more mature, WordLift‘ graph is getting smarter to support new business cases and to help us improve the findability of online content.
Our main goal with WordLift Snowball was really to improve the linked data graph in order to:
Be able to compute and analyze the relationship between entities and articles being annotated. Here, as a side effect, we will have a lot more links from the graph to the articles and this will facilitate the indexation of articles,
Improve how smart agents (or crawlers) access information about entities using the semantic technology language of RDF and SPARQL this basically means, for instance, that we can handle queries to event-related questions like:
What are the next events in Paolo Alto?
What are the upcoming talks with Gennaro Cuofano?
How much does it cost to attend the Meetup on AI & ML for WordPress?
Check out below a sample dialogue that Sir Jason Link (WordLift‘s powered Google Action) can support thanks to this new update.
Asking Sir Jason Link about Gennaro’s upcoming event.
If you are a web content writer, there is no need to remind you all the struggle you have to face to distribute your content. Maybe you spend hours – or even days! – of hard work writing awesome content, but once your article is done, 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… Wouldn’t be wonderful to just focus on writing and nothing more?
Semantic markup is the key to success. Schema markup can really help your pages get the traffic they deserve. How? To explain it, we need to do a few steps back: first of all, you need to know what schema.org is.
What is schema.org markup
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.
Schema.org markup helps machines understand your content, without fail or ambiguity.
Let’s explore how to use the Schema markup, the benefits of using it and how it can be implemented on your WordPress website.
How to add Schema.org markup to WordPress
To use schema markup on your pages, you can either use a tool like WordLift or do it manually. WordLift plugin enables you to add Schema markup on WordPress without writing a single line of code. Once you configured the plugin, a new menu will appear on the right side of your article in the WordPress editor: it will allow you to annotate your content and, by doing so, to create an internal vocabulary to your website or blog.
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!
Imagine you have published an event on your website: once you completed creating your specific content, the final step will be to add a normal meta description, which will appear on the search page as plain text. But, by adding Schema markup to the page, you can really help your content stand out by transforming it into a rich snippet and therefore getting a lot more clicks ?
There are several types of schema you can use to mark your content, and by using the event schema markup is possible to show dates, locations and any other detail related to a specific event to help people easily get access to all the information they might need:
Once the purpose of adding structured data is clear – that is to provide accurate information about what your content’s website is about, you could also see that adding Schema markup to your site really is a highly-customizable process.
How to increase your traffic with semantic markup
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 and made it “findable” to those who are looking for it through Search Engines.
The example above shows the results of a long-tail search about the upcoming Salzburgerland Party Meeting event. As you can see, the first result is a rich snippetwith 2 links and allows you to skip directly to the next events. All that is made possible by the markup, which helps search engines detect the structured data matching the user’s answer inside the whole website. It’s been proven that rich snippets increase the Click Trough Rate: so, more qualified traffic for you, here!
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.
Assess markup quality with Google’s Structured Data Testing Tool
Once you added your schema markup to WordPress, it’s easy to determine that everything was done right, simply by using the Structured Data Testing Tool made available by Google. Just enter the URL you need to analyze and let the tool verify your content.
Let’s see, as an example, the markup of the SEMANTiCS 2018 Conference on our blog:
As we can see, everything worked just fine, there’s only 1 warning about the field Offer that in this case has no value added.
The first rule while adding schema markup is to be clear. Google will know! Also, remember that adding schema markup to your page might as well not guarantee any result at first. But it’s always recommended to do it because it can definitely give you the best chance for success in SERPs, and help increase your CTR.
Automating structured data markup with WordLift
While developing WordLift plugin, 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!
Here is a list of improvements on the markup that SEO specialists are going to appreciate:
ARTICLE: we’ve added the markup schema.org:Article for each article/blog post, publishing it with the property Main Entity of 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.
PUBLISHER: we also communicate the publisher’s information related to each article as structured data. The publisher can be an individual with his/her proper name or an organization with a brand name and a logo.
ID: with WordLift we also made available the Publisher ID. 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 connections 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.
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.
To play around with JSON-LD markup that WordLift created for this article head straight to the JSON-LD Playground.