Semantic Search has forever changed how SEO should be approached. Today’s SEO’s need to optimize their pages so that machines can comprehend the represent in the same way their readers can. While this sounds devastating, there are some amazing tools on the market that allows you to streamline this process.
In this video, we will review WordLift,” An AI-powered SEO tool that does the heavy lifting for you .” We will share what is it, why you need this tool. We will also foreground some of the results “weve already” picturing and explain how WordLift works.
If you want to learn more about WordLift, check out: https :// wordlift.io /
One of the great things about artificial intelligence is that it spawns our professions easier. This isn’t something that’s supposed to supersede who we are or “what were doing”, but if we’re apply it precisely, we’re enabling AI or machine learning or any of these other great new information technologies to help us make better decisions and build our lives easier.
In today’s video, we’re going to be looking at WordLift. WordLift is an SEO tool that we can use to leverage the supremacy of AI to form our SEO better than ever before.
Before we get into the content, I want to say thanks for watching this video. If you find it helpful, satisfy reached agree. We make new material each and every week to help you get the most out of your digital marketing activities.
In this video, we’re going to be taking a look at WordLift and how it helps us leverage artificial intelligence to improve our SEO.
What is WordLift?
WordLift was originally a WordPress plugin, but today it can be installed via a vapour lotion as well. It helps us to create and structure, as well as supplemented better visual points to our material, and too helps us create related connections to attached open data use Tim Berners-Lee’s attached data principles.
Now, if you don’t know about Tim Berners-Lee, you should thank him, because he’s one of the main cause we have the Internet as we know it today.
What is linked data?
Linked data is a language that machines can use to read and understand content within its own context. It will index. It will deliver answers. It will begin to understand the concepts that we’re talking about. This is why structured data is so important, because it’s devoting us the languages that we need in order to have that communication, and make sure that the content on our sheet is machine readable and understandable by the machines.
Linked data engineerings stand software agents and search crawlers to better find our content, share that and fully integrated across all of their different resources.
Why is this important?
In the video that we did on semantic SEO, we get into this in a lot more detail, but in a nutshell, most of the content on our websites is human readable merely. It represents it difficult for search engines and databases and things like that to understand the context of what we’re talking about. This understanding of related open data is a huge, huge step forward in closing that breach between what computers and humans can understand.
How does WordLift help in all of this?
It cures by helping us add organized data to our website. This will help us increase the visibility of our website and maximize its full potential gatherings that we can reach.
It understands the text you write. It does natural language processing, NLP, and then it organizes it enabling you to create a better sailing pour within your material, create internal associates. It also helps you organize that data so that it’s properly indexed by the search engines, so they can rank better.
It likewise helps us to enrich our material on our blog affixes or web pages by contributing ties-in and personas, and too generating relationships between the different sheets and the different concepts of our sites, use both an internal idiom that it helps you improved out, as well as linking it to these data sources like DBpedia and wiki data, which are these main beginnings that Google uses for both understanding and teaching its algorithm, the understanding of hypothesis, and it croaks certainly deep into what the symbolizes of these entities are your page, or what’s the main point of the different things that you’re talking about.
WordLift helps you do this in a very simplified way. Instead of having to think about all these different connects and know where to find all these resources, WordLift is going to do that for you, leveraging neural networks and natural language processing. It’s great because it’s procreating this connection between both our content and the understanding of how both our customers and the search engines understand it within the right context, and helps us create these more informative ties-in and alliances, and only a deeper understanding.
As you can see here, this is a thing attribute. This is one of the concepts that our homepage is about is selling strategy. We’ve injected it with structured data, which allows the search engines to know that this page, that we are a marketing company that helps with commerce policies, and here’s all the main databases that are supporting what market approach is, to add further context for the crawlers so they understand that,” Hey, “thats what we” do. This is what we mean when we say marketing strategy .” We’re creating that linking connect, which is really powerful.
Looking at some of the results with WordLift so far, and we’ve been using it since about the beginning of August, and we’re employ it across the board right now to help us further our markup, further our structured data, and genuinely optimize our sheets much deeper. For this engineering house website, we’ve already seen an increase of traffic of 28%. The impressions have gone up 25%, and the clicks from research counts have gone up 31%.
We’re likewise identifying same causes on a our client’s stage, where organic traffic’s increased by 24%, the impress has risen by 7 %, the clicks have increased by 11.5%. Now that website is a much larger website, so even small-time movements in impressions and clinks to be translated into enormous advantages in traffic.
The last is a brand new site. We’re trying to rank for some highly niche words in depth study. We’ve already seen a 37% increase in the organic freight, over 300% further increase impressions, and a 370% further increase clinks exactly in the short sum of period of increasing the contextual relevancy of these websites.
I’m going to go in now and support you a little bit about how WordLift operates, and why you might want to consider it on your website if you’re interested in recognizing up your site and creating a deeper entail, leveraging structured data, machine learning and artificial intelligence.
This is the backend of one of our WordPress locates. Right now, we’re looking at one of the blogs. As you can see right now, we’ve got these highlights with underscores in this page here. These are link to entities that we’ve built working WordLift.
Up here at the top, we’ve got the documents and the block, in the new editing and layout format from Gutenberg. But if we go ahead and click the WordLift widget here, it’s going to start scan the page.
What it’s doing is it’s leveraging natural language processing, and it’s going through the contents, and it’s looking at the terms and the entities that are in our sheet that it can find, and that are available currently on the linked open network. It’s going to scan through such documents and start starting suggestions on calls that this material might be related to.
Right now, we’ve got all the different material class. We can even narrow it down to what, if there’s any location-based, when, who, like Google, we’re doing Google search, so we probably want to highlight that one. That’s all I have to do. I only click Google, and it’s injecting that into this piece of content. I can go back to All.
Now, it’s not going to be perfect. There’s nothing excellent in all countries of the world of natural language. You’re going to have to do a little of work in making sure that you sounds the right things here that stigmatizes up your sheet accurately, like a dres resource locator. That’s a URL. I do want to have that.
You can also include in things, like for example, featured snippets. This one here isn’t highlighted. But if I go ahead and highlighting it, I can add it here. WordLift will allow me to now create featured snippet. This would be a thing.
Then I could go and experience an commodity, or interpretation of a featured snippet, generally go right from Google, something like that. Featured snippet. Leverage this right here. The right thing to do, we want to make sure that it’s in line with Google, because that’s exactly what this entity is about. I’ll go ahead and procreate that entity. Now I’ll want to publish it to this page, and I’ll likewise have to publish it within my dialect, but now I’ve added this entity here.
It too allows me to add information in the essay metadata. I can advocate likeness. Once I have enough data in here, it’ll pull idols that we are able to drag and drop into our material. Once we have a lot of uprights now, we can also pull in associated content.
Right now, this place only has one article, so those features aren’t even available to us, but tagging this page with entities “il go to” make a huge difference.
If we scroll down to the bottom of this sheet, WordLift also has a widget right here. This is where we can mark up this sheet itself. This is an article that we’re working with, but we can also link entities right in here.
Let’s say I wanted to use that featured snippet, or if I wanted to add something about SEO in now, it’ll starting to look for entities in the linked open data mas that I can leverage, and click into, and add to this sheet in particular.
What I’m doing is I’m injecting this sheet with structured data. I is moving forward and hit update and that’s it. I didn’t have to write any code. I didn’t have to know the structure of any of these things or how to write it. I’m able to clink and add context to my sheet. It’s very easy to use.
It likewise allows us to build out our own internal dictionary, which is what you’ll see here. Now, I was also indicated that peculiarity snippet. As you can see, it’s in draft mode, so I need to go in and revise it. I’m going to want to add some more context to this entity.
Again, I’m adding a little bit more in depth into this article. I can add synonyms. I can do featured snippets. I can do something like rich aspect, anything that could be related to this peculiarity snippet so that it starts to understand the context more when I unearth it or supplement it to other pages.
This is a content classification, any metadata that we would need, making sure that everything’s set the course I crave it is a matter of. Now I can start relation it out to other entanglement roots as well so I lend more context. I can glue this in now. I can also go out to something like Wikidata and do some study as well. This is if you want to go a little bit deeper.
Right now Wikidata doesn’t even have anything on it. So patently this is a relatively new thing in SEO. There’s probably not a great deal in the databases about it, but I can start searching around a little bit. Maybe they’ll have something on SERP boasts. They don’t yet.
This is where I can start to add my context and contributed my content into the world of linked open data. Again, this is where WordLift is going to come in. As I start lending more content and more context to my area, I begin to build my dialect, distinguishing it up in a manner that is, lending the structured components. This is going to get grafted in to what the Internet understands about featured snippets. This is going to be part of associated open data.
How do we know that this is working? We can go back to that pole that have already been, and we can look at it now. Here’s the commodity on the site. If you go up, this is a really cool plugin. It’s just called Structured Data Testing. You can get it on Chrome. It will lead the structured data testing tool on this area. You can see you’ve got a number of types of markup now. I can go ahead and is currently considering the clause markup, and we’ll start to see some cool things here.
Right here, I have prime entity of the sheet, SME marketing vocabulary, simplified investigation vocabulary, boasted snippets, alternative honour, rich peculiarity. Here’s the markup. Here’s the other one, structured data I’ve added, search engine technology I’ve added, rich used interaction, Google images.
We’ve added a ton of context right into this article by leveraging relation open data. And I did it with simply a few sounds and leveraging WordLift. It’s been a really cool course to add more depth to my sheets and to enable my unit, who might not have as deep of an understanding of technological search, to actually begin to do some of these more technological things.
Now, our main website doesn’t work on WordPress. It’s a HubSpot site. That’s how we have it make currently, but WordLift even has worked in the gloom explanation. With WordLift in the cloud account, I can go to one of our blogs or any one of the sheets that we’re working with. Let’s do this one right here. We can look at this page, and I can fuel the WordLift widget, which you will get with a mas install, and go ahead and log in. Very same to the WordPress tool that we saw before, I can annotate this page with the entities.
It’s very easy to do. Again, it doesn’t make somebody to have a lot of technical knowledge and understanding to get this to work. As you can see, here’s all the different entities that it’s been able to pull out of this slouse of content. Now I time need to take a little bit of era, and go through them, and lent all the ones that I crave into this page.
It’s a great tool. It’s a powerful tool. It allows us to add a deeper level of organized data and structured ingredients. It allows to connect our site to the linked open network, which allows us to have better context, better implication. Then in the WordPress widget, it leaves us a number of peculiarities that we can use to even clear our clauses more interactive. If you’re interested in checking this tool out, I most recommends the following. I will be providing a tie above with the description.
If you’ve got any questions on WordLift, structured data, markup, entities, anything in the way of what Google’s doing to help improve the understanding of the web, is letting us know. We’d love to continue that speech with you. Until next time, Happy Marketing.
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