Understanding how Google classifies context.
The Google beast has come a long way since 10 blue links, doorway pages and exact match domains.
But what’s changed the most is probably how we consider and use keywords.
At beginner level we’re gathering keywords, grouping them by content and then using them on our pages, but as Google strives to improve the search results, it has started to dig deeper, and look at more than just the words on the page – now Google thinks about both context and the relationships between words.
And this, my friends, is what we mean when we talk about entity-based SEO.
Tune in to learn
Today we’ll cover:
- What entities are
- What a knowledge graph is
- What semantic search is
- How semantic search helps users find relevant information
- Keyword research: how relevant it is with entities in the mix
- Nik’s top 5 tips for content writers with Natural Language Processing in mind
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This is my “go to” podcast for SEO and business. Each episode is full of information that professionals in the digital field can use, and also business owners wanting to do some SEO on their own.
Brilliant Podcast.”
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About Nik Ranger
Nik Ranger is an award-winning Senior Technical SEO Specialist at Dejan Marketing and co-director of SEO Collective Australia and ranked #87 of 202 Top SEO Experts You Should Be Following by Search Engine Journal.
Work published in three books with Search Engine Journal and Majestic, which is currently number 1 on Amazon, Nik is also the brand ambassador for Rank Ranger and Inlinks.
Fun fact: Nik is a former civil engineer and professional electric violinist.
Transcript
Kate Toon:
The Google beast has come a long way since 10, blue links, doorway pages, and exact match domains. But what’s changed the most is probably how we consider and use keywords. beginner level, we’re gathering keywords, grouping them by content, and then using them on our pages. But as Google strives to improve the search results, it has started to dig deeper, and look at more than just the words on the page. Google now thinks about both contexts and the relationships between words. And this, my friends, is what we mean when we talk about entity based SEO. Hello, my name is Kate toon. And I’m the head chef at the recipe for SEO success and online teaching hub for all things related to search engine optimization, and Digital Marketing. And today, I’m talking with Nik Ranger. Hello, Nik.
Nik Ranger:
Hi, Kate. So I’m so honored and happy to be here. I just want to give a brief shout out and say I really, really love this podcast, I think it does a really great job, to be able just to take really complex topics and be able to break them down simply for anyone to be able to understand. And I think you’re doing some really, really great work. So thank you so much for having me.
Kate Toon:
Oh stop it. Shush. Well I must say Nik has been one of the most requested guests on the podcast, whenever I do a post saying who’s gonna get in the pod? Everyone’s like Nik Ranger. So he was a long lost and I’m sorry that it’s taken so long. But let me explain to you who Nik is. Nik is an award winning Senior Technical SEO specialist at design marketing. Awesome company. We’ve had your boss on a few times. He’s a bit of a ledge little shout out.
Nik Ranger:
Absolutely.
Kate Toon:
And the co director of the SEO collective Australia, which is a meetup that runs in Melbourne, and I think now Sydney as well. Right. And many of our previous guests have been-
Nik Ranger:
And Brisbane
Kate Toon:
Oh and Brisbane now.
Nik Ranger:
Shout out to Sally Mills.
Kate Toon: Sally Mills, ah yes, I know Sally, I must get her on the pod as well. We’ve had lots of your regulars there. We’ve got Peter, Peter meet as well. Lots of your lots and lots of your crew. She was ranked number 87 robbed, of 202 top SEO experts you should be following by Search Engine Journal. She works -. Oh, she has published three books with Search Engine Journal and majestic, which are currently number one on Amazon. Nik is also the brand ambassador for Rank Ranger and Inlinks Gosh, cast about a bit fun fact, Nik is a formal civil engineer and professional electronic violinist what that is so cool. Your electronic, civil engineer, I’m like whatever, electronic violinist? That’s mad cool. Why are you doing SEO, you should be out there like in the streets entertaining.
Nik Ranger:
It’s funny. I got into it because I was a professional violinist. And I played in orchestras. And I just wanted to make it something of my own. And it was the process of studying, playing in bands and being a session musician that just opened up the doors, I think the thing that I really love to take away from that whole experience is that you have to kind of think differently, and kind of put all of the theory in what you know, and understand and just kind of have fun with it, experiment, do new things, try new things and just be curious and creative. And I think the world of search and the professional search is such a good vehicle for that.
Kate Toon:
It can be it can be now you know, I think I think I think you know, it’s an interesting world that we live in. And as to women in a largely male dominated space, it’s, it’s interesting. So you know, full shout out to you for all the amazing things that you’re doing, and representing. But today, we’re not talking about electronic violin. Unfortunately, as much as I would like to. We’re gonna talk about entity-based SEO. So I’m going to try and explain it in simple terms there. See if I get this right in simple terms, it’s about connecting the dots between user intent, context and the relationship between words. So it’s about looking at nuance and not processing words, literally. So entity SEO connects entities and their meanings, context and intent by building knowledge graphs, now even that trying to explain that simply brings in terms that people won’t understand nuance, knowledge, graphs. So an entity is just a thing, right? How would you describe what an entity is?
Nik Ranger:
Yeah, I love that. I love the way that you introduce entity-based SEO because to really to explain what an entity is. It’s about a specific object or a concept that can be identified and described for machines. So that can be people places organization and things. So if you think about this, like entities are really, really useful. And they act as like pivot points in information retrieval for a search engine because they provide a way to be able to connect different pieces of information together. They’re really the anchor points. So identifying entities and text or in other sources of information, we can be able to link related pieces of information together and provide additional context for users.
Kate Toon:
Okay, we might we’re gonna use some examples through here, but one that comes to mind for me is, is the word run. Okay, so run is a really complex word in the English language 645 different definitions for run in Webster’s dictionary. And, you know, obviously, the robots are taking over the world, I wish they’d stopped, did Elon Musk watch Terminator? We know how this is all gonna end. But if we take the word run and give it to a robot, what’s he going to do with that? Does it understand that run means to run down the street to run a company for something to run down your leg? You know what it doesn’t, it needs to understand the context of that entity, the word run being an entity, and then look at what words are around that word, and what words are connected to that word. And that’s how the robots help understand that if there’s run, followed closely by shoe and rode, that we probably mean the verb to run. Is that an example? Right? Am I off kilter there?
Nik Ranger:
No, absolutely. And this is so interesting. And how I got into this was listening to Dawn Anderson.
Kate Toon:
Oh I love Dawn.
Nik Ranger:
She’s amazing, absolutely. Shout outs to Dawn because she really started to introduce this whole concept to me. So ‘run’ can exist in many, many different forms and contexts that we use in language to be able to explain what’s going on, that’s really, really difficult for a machine to get the same kind of context. So what they’ve done is basically try and build up like an understanding of, okay, these are all of the names that we can be able to have for something, but we might associate with a specific name, an ID, and that ID is a unique identifier that is assigned to a specific entity, like that pivot point, really to give that entity or like that context. So like, for example, like in organizations, like employee database, like each employee, so person, there can be an entity, I’m an entity, you’re an entity,
Kate Toon:
I’m an entity.
Nik Ranger:
We might be assigned, like a unique ID number, if we’re really, really well known, I think you’re a lot more will know that I am. So you might be assigned like a unique ID number that corresponds to your record in that database. So for the concept of like, maybe run is r u n n.io. That’s a company. So run might be its own entity. And that’s different from other different contexts of the way that we use run. So they might have like their own entity ID. And that, again, is like, how it be able to use that pivot point to be able to link all the different information about that together. So in linked data repositories, each resource might be assigned that unique identifier, and that will correspond to its location in that repository. And it can be recalled for use when given contexts. And especially when it thinks about, like how to assign like, relevance, relevancy to different other things, or about that, or around that.
Kate Toon:
Yeah, I mean, I think, you know, it’s kind of like, assigning an ID really helps. Because you know, that we think of robots thinking more in number number terms, I think my ID might be 666. That’s what I’m gonna go with. It makes me think I’m gonna, you know, it makes me think of the matrix, right, and they’re all the little pods. But the robot knows that Nik Ranger is in pod 1724 point 3.7. And that pod is associated with all these other pods is that when we talk about when we think about a knowledge graph, in my mind, I’m thinking of like, you know, one of those mind maps with Kate Toon 666 In the middle, and then all the things that relate to me that complete digital footprint of all the things that Google is associated with me as an entity. Is that what a knowledge graph is how knowledge graphs work?
Nik Ranger:
Yeah, great question. So I can Knowledge Graph is like a big old database that holds lots of information about the world, and other things and how they’re connected to other things. So imagine it like a big spider web where each point in that spiderweb represents something. So each string connects them to different things that they’re related to. So if you’ve got like a website, you can use a knowledge graph to be able to help search engines understand what that website is all about. So for example, if you have a recipe website, recipe for SEO success, you can create a knowledge graph that shows the relationships between ingredients, cooking methods and types of different cuisines. So to even create a knowledge graph, you can identify the important things related to your website’s content. This might include like, like the way that food is cooked in the types of dishes that you offer. And then you can be able to bracket all that together with structured data. And I know on some other really, really great podcasts, other people have talked a lot more at length on that. So please go and check out some, okay, other podcasts about structured data to learn more. But that’s a really, really great way to be able to give the context to the content on your site, and link all this stuff together. Because really, what what I’m trying to do and what a lot of people that are really focused on entity based SEO are trying to do, the whole concept is really to mimic the way that a search engine works and present information in a way that it can be as as easy as possible to be able to retrieve that information for a search engine. It’s kind of like, if you’re learning a language for the first time, and you have no idea, any context about that, you might use certain pivot points of words that you’ve learned just in the intermediary to kind of like, look at a big page of just Google you got this word? I know what that word means that word means eat. This word means restaurant, this word means fish. Okay, great.I understand that. I don’t know what anything else sort of means. But –
Kate Toon:
But I’ve got some context. Yeah, I think that’s a great way of putting it like finding pivot points, or things you can identify that help you get the gist of what it’s going to be about. I’ve heard structured data or schema as described as separating things from strings, you know, so yeah, helping people which is, you know, pretty smart. Identify that, yeah, this is this is a recipe because it’s, I can see it’s got common elements that have been marked up in the scheme, I’d say, these are the ingredients. These are the instructions, you know, or this is a product. And I can see that because we’ve got a price schema tag, and we’ve got this schema tag. So it’s helping, what you’re trying to do is present your content in a way that makes it easier for Google to navigate and understand. And schema is one way of doing that. Now, another phrase that’s thrown around, we’ve talked about entities, we’ve talked about knowledge, graphs, bear with us people. I know, this is a lot. We’ve got some examples coming up. But people talk about semantic search, or what do you mean, when you talk about semantic search?
Nik Ranger:
Love that. Well, if you’re wanting to sort of like use examples, I’ll use an example with describing semantic search. So semantic search is a type of search that really just goes beyond matching just key words to documents or pages, if you will. So instead, what a semantic search tries to understand. It tries to understand the meaning behind the user’s query, and the content of the of what that page has been searched for. So this really allows people to be able to write a lot more accurate and relevant search results when someone’s looking for that. So what’s used an example, say you’re looking for a specific product at Coles? Shout out, shout out Victor. Frankel’s was genuine last night, but you’re not sure what that particular product at Coles is called. So you might type in to Google, you might type in a query like green cleaning product, because you have a vague memory. At home, you’ve got this green cleaning product, and you’re in the in the store, and you just can’t find it. But you know, if you know what it’s called, you can ask someone for help. Or when you’re searching online, you can actually type in it specifically. So you might just type that into the search bar of say, like courses website or into Google search. So a semantic search engine will try and understand the meaning behind your query, and the content of the products available at calls. So in this case, like a semantic search, render might use this understanding of green to identify maybe it might be environmentally friendly, might be it might be that type of cleaning product, it might also take into account other factors such as the price brand availability, based on maybe even like a personalization of your own search based on other things that it’s understood about your your search history. But it also can be able to take into account other factors of your location, previous purchase history, and provide you an array of different results that it thinks it should match to that green cleaning products that cause might have.
Kate Toon:
Yeah, I think as well, it’s like, it’s why Google in particular is so good at connecting the dots between random words, right, so one of my favorites, one of the searches that really illustrate this to me is I just put into Google movies about aliens turning into humans funny galaxy, something, you know, and the first result that comes back is Galaxy Quest, which is a frickin legendary movie right? Now, of course, I mentioned galaxy. But I also mentioned aliens I mentioned funny, I mentioned movie, so it’s not going to look in the books pile. It’s not going to look in the art pile. It’s not going to look at the TV show so it’s got clues. But I haven’t filled in all the dots. So it’s connecting. I mean, the spider web is the perfect example, right? We talked about the interweb. It’s going down the right little lines of the spiderweb, pivot, pivot pivot pivot until it comes back with something that it thinks is close enough to what I’m after. We’ve got another kind of example here. So I’ll do this one, see if you think it works. I’ll give some examples. For example. I have this from a great article, which I’ll share in the show notes. If we type into search shiny vampire from the Twilight movies, I’m gonna key know who that is, without looking at the notes. Nik, who is it? Come on.
Nik Ranger:
It’s Edwin Cullen.
Kate Toon:
Well done.
Nik Ranger:
Thank you.
Kate Toon:
So soon as you put that into Google, we get a Wikipedia result for Edward Cullen, we get an image carousel, we get lots more links, we get FAQ, we also get a mention of Robert Patterson, who plays the role. We got all this without mentioning the terms Robert, or Edward Cullen. So we didn’t put the right keywords in at all. And is that illustrating the magic of entities, Nik?
Nik Ranger:
Yeah, absolutely. I think like that example shows really how a semantic search engine can be able to help users find relevant information, even when they don’t exactly know what they’re looking for. Yeah. So by understanding the meaning behind a user’s query, and the content that’s been searched, it can really be able to provide a lot more accurate and personalized results based on that to match their intent. And I think that’s really, really great. I mean, you’ve already fed it so much information. And even further, it’s like, things about that so we can be able to identify that. Oh, okay, the Twilight movie, Saga, series is like a key entity that it uses as its understanding of the movies to be able to identify the specific type of characters that you’re looking for.
Kate Toon:
Yeah, we’re not looking for the wolf. We’re looking for the vampire. And we’re looking for the shrine of the vampire. So you can imagine it going down that little spider web going tick, tick? Oh, no. Wrong way. Come back, go this way again. Yeah, like that. I guess what’s daunting when we think of entities is like, you know, a lot of people have spent a bit of time understanding, you know, what keyword phrases are, what a focus phrase is what synonyms are, you know, we know that keyword density has never really been a thing and keyword placement. You know, it helps people feel more comfortable to think, Oh, I’ll put one in the title tag. And I’ll put one here and I won’t make sure I went for 27 in there. Because I don’t want to keyword stuff, but does this whole entity way of thinking mean that we don’t need to research keywords anymore, or to use keywords in that logical way anymore. Or we just because you know, so many people neglect keyword research is dead, just write whatever you want, and Google will work it out. Are we there yet? Or do we still need to think about these things?
Nik Ranger:
See, I have a bit of a nuanced answer to that. Because I’m also not a big fan of the traditional sense of doing keyword research to build out pages on on a site, unless it’s sort of like in the context of a new and emerging market, or a new and emerging, like product brand, that product, or information, topical information that you haven’t already written about. So it’s gonna be really good to kind of scope out maybe potentially, what is the requisite search volume around something to be like, Okay, I roughly know that there’s 2400 users per month, on average, by this third party tool, Ahrefs, SEMrush, the like, that sort of give me an indication that there are people that are genuinely looking for this. So I might want to be able to talk about that. And I find that there’s nothing wrong with that kind of traditional way of doing keyword research. What I would really like people to really focus on when thinking about entities is understanding what is motivating people to click through to your website, search console is by far the best way, we can really be able to do that. And you’ve had Dan Petrovich, on your podcast before. One of the main reasons why I wanted to go and work with him was because he’s already done something called click through rate modeling. That whole concept really boils down to it is a is a much better way that we can be able to look at the click through rate of different queries over a large corpus of information from from your search console, to be able to give us some really, really good insights of what is motivating people to click. So you might, let’s just make it really simple for people out there. Go to Search Console, have a look at a page and see how many clicks are being attributed to the queries. You might see like, like, take your brand out of there and just look at the non branded ones. And you’ll know that by you can like click on the query and just go that does not contain your brand, you can be able to exclude that out and just look at the number of things will hit non branded queries in your search console. And looking at what people are actually clicking on, is a really, really great way to build your audience. Does what people are clicking on, is that relevant to you? If it’s not relevant, probably you’ve done something a little bit wrong with the way that you’ve written your article. So maybe you can go back and tweak it and really just hero what your topic is about. But I know for a lot of your audience, they’re phenomenal writers in their own right, so I trust that they’ve they’ve done a great job here. So just look at the queries, look at what people are clicking through, and then have a look at the click through rate. Maybe you might have a huge amount of impressions, but a low amount of clicks. Why is that? Maybe you might need to look at that query and say, Is this commercially important? Is this commercially valuable for me? Okay, cool, I might want to look at that article, and tweak it and write it a little bit more succinctly, to be able to really cure that specific query that specific search term, and make that a little bit more prevalent in the heading structure or within the embedding the copy of my of my, my content. So that can be a really, really great way to be able to do that.
Kate Toon:
Yeah. And I think I think if you go for go back, and you can listen to Dan’s episode, because that’s actually what he talked about when he came in, you know, moving people from the search engine results pages to your site and looking at, you know, changing your titles and your matters and seeing what impact that has. But I think, look, I mean, I still think that if you’re at the beginning of your journey, there is nothing wrong with thinking about what is this article about? You know, trying to have some focus? Who is it serving? How do I want to make them feel what do I want them to achieve after they’ve read this content, whether it’s a post a page or a product, and therefore, have I mentioned those kinds of phrases in the copy, and it sounds really obvious, but I think some people when they come to it, you know, they’re writing a blog about making, I don’t know, cheese croissants, and you know, maybe they’ve called the article How to make cheese croissants. But then throughout the rest of the article, they haven’t really referred to that ever again, or they haven’t really got focus, or it’s long on woefully. And they go into a big old story about their cats. And then this time, they once went to France, and, and they’ve lost the focus. So I still think that kind of those traditional ways of trying to remember to use some focus phrases is helpful when you’re starting out. And then as you get more sophisticated, I mean, I’ll be honest with you, I rarely do much keyword research. And I very much do not kind of go tick, tick, I’ve used my keyword here. I’ve used it here. I’ve used it there. But to have the confidence to know that if I’m going to write about a topic, I know my audience well enough to give them what they want. And I know the topic well enough to cover those touch points to say the relevant phrases. But I think that comes with with time, you know, so, as you said, your main tip for content writers is to think about why your audience is searching for the thing. Is that right? You know, when we’re writing our content and copy for our website, what should be our main concern?
Nik Ranger:
Yeah, I mean, there’s a really great reason why people say like, don’t worry about the key research, don’t pay any attention to any bullshit around – Oh, sorry. I’ve tried not to swear.
Kate Toon:
It’s fine. Don’t you worry,
Nik Ranger:
I do it a lot. But don’t don’t just think about keyword density of it, or any nonsense like that. Because really, that that just kind of takes away from the skill of writing. Now, a lot of what I love to do with training content writers, working with content teams, in house and like, even with our own content writers, it all comes back to there’s a reason why over time, you’ll you’ll write, you’re getting more traction with your content, because you’re writing better articles. It is from time and experience of writing this when you look at natural language processing. Now, natural language processing is a really major tool that search engines use to parse and understand content. But when you actually look at the rules, and how they’re governed of how they’re trained these algorithms and train the model to be able to understand this, a lot of this actually comes back to really good writing. And that’s why they say, like, focus on writing for the user, just write in a way that you would be able to understand this topic that you would sit down and give this article to someone else and they can really immediately understand that it works exactly the same way for for a machine. So I’ll give you some like, say my top five rules that I like to be able to use to be able to train people to think a little bit differently with natural language processing and minds. But also take away from all the I gotta SEO stuff. Use clear and concise language, natural language programming, natural language processing algorithms work best when they have access to the text that is easy to understand and free of all the unnecessary complexity. So try to use simple straightforward language that really gets your point across without being overly wordy or verbose. I love that, like when you are saying this, like, you know, don’t use any jargon, don’t use any acronyms or explain them. It’s exactly the same process, right? So, so the second one, avoid ambiguity. Like NLP algorithms, natural language processing, I’ll just refer to it as NLP from now on. They really struggle with ambiguity. So it’s really important to be clear and specific as possible with your writing. A lot of content writers know this from experience of being given a brief and they read the page for what it is, and they have no idea what the company is or what they do.
Kate Toon:
Oh I’ve been there.
Nik Ranger:
Oh, yeah, absolutely. We can all relate to that. Avoiding ambiguity is so important. Because if you don’t get it, how on earth is machine gonna get it? And they’re a lot less intelligent than you are?
Kate Toon:
I think, and I think often people are ambiguous and vague, because they don’t truly understand what they’re writing about. You have to know something very well to be able to write about it simply, you can know about it quite well and write about it longingly, if that makes sense. You know, I think something that sometimes ambiguity comes from, I’m just going to write around this. And if I pat it out enough, it’s like, I know what I’m talking about, I think happens. So we’ve got clear and concise language, we’ve got avoid ambiguity. What’s number three?
Nik Ranger:
Use consistent terminology. So if you are going to use an acronym, if you are going to introduce people to a new product or concept, be able to use that consistently throughout everything that you write, because you’re eventually over time. And booktok is a really great example of this. I think Abby Romer shared this on LinkedIn recently, booked up never existed before Tik Tok, obviously. But since there’s been like a whole wave of content creators that are specifically reviewing and talking passionately about their, their, their books, that is now a phrase that has a massive shoot up in Google Trends.
Kate Toon:
I’ll just point out here that I use booktok on TikTok, follow me there. My favorite is pastrytok, have you discovered book, it’s the tits, you have to get onto that.
Nik Ranger:
It sounds amazing.
Kate Toon:
So number 3, consistent terminology. If you’re gonna introduce someone to a phrase or an acronym, continue to use it for everything you use, and then the algorithms it we’ll learn, okay, what’s number four?
Nik Ranger:
Provide context. Number four is providing context. So they rely on the context to be able to understand the meaning behind text. So if you provide enough context for your readers, and the algorithm, they’ll be able to understand what on earth you’re talking about.
The fifth one, using proper grammar and punctuation. I know a lot of people are sort of dubious about this, like they’re thinking with IA, like that imperfection is now like a unique last stamp to say, ‘Hi, I’m a real human’. But at the same time, like proper and grammar is also like a bit of a trust signal. That, again, you like you’re writing this in a way that is really quite well and concise. But they can also understand that better in the structure of your text and be able to identify really important elements like subject verb agreements, sentence boundaries, and a whole other bunch of things, you know, around that. So that is actually a really, really important well, because overall, writing for natural language processing requires clear, concise language that avoids ambiguity. It uses consistent terminology. It provides a context and really follows that proper grammar and punctuation rules. All in all, that’s just really good writing, right?
Kate Toon:
It’s just good writing, isn’t it? It is, and then you know, the whole Google helpful content algorithm update, actually serving the audience making sure that what you’ve created isn’t there to just drag some bot to your site and shove you up the rankings. But then when someone actually gets to your page, they are fully served, they have their questions answered, they feel good, they feel confident and into bounce back to the search results and look at something else. I love that. I think that’s great. I mean, I’m gonna say I’ve found Nik has a little nifty trick. If you make a typo in your LinkedIn post 72 people will comment on its post out boost your engagement, quickly go and fix it. Boom. So I don’t know. I like to use proper grammar and punctuation but I’m not very good at grammar and I went to school in the 80s, it wasn’t a thing it was all about creativity back then.
Nik Ranger:
We just had to write out like okay, copy this new view getting the cursive right. You get a gold star
Kate Toon:
I’m old school, you know, just write the same words again again. Look, that was amazing. I think entities You know, are things as you’ve described them pivot points, think of that. spiderweb. But I mean, even when you understand all of this, I’m not going to be dismissive of it, we understand all of it. What you’re basically saying at the end of it is do your do your best writing, you know, write well be concise, don’t waffle on serve your audience. And then you know, the Google gods are orgy but more important, humans will reward you as well. And that’s what we’re that’s what we’re aiming for. We’ll just get it we’re not gonna do it for the robots people. With the robots now, we’re embracing them, but just you know, arm’s length. Nik, you’re amazing. Thank you so much for coming and spending some time with us today. You are a regular on the stage, ah, you speak at the meetups. Where can people find out more about you and follow you for more stuff?
Nik Ranger:
I think there’s three best ways to be able to contact me. One is on LinkedIn, just drop me a DM. I will eventually get them. You know, just kind of like get rid of all the link sellers. Yes. Yeah. Sorry, guys. I’m not gonna buy links. Two, Twitter. Just tweet at me.
Kate Toon:
You’re still a Twitter girl? You’re still there?
Nik Ranger:
I’m still a Twitter girl. Go. I try to hop onto Mastodon and I just
Kate Toon:
Laminate’s the new one. Right?
Nik Ranger:
Man, there’s, there’s so many things. I find it easier just to simplify and just have a couple of things. Yeah. Otherwise, I just get overwhelmed.
Kate Toon:
Overwhelmed, right.
Nik Ranger:
Yeah. So LinkedIn, Twitter, and of course, do marketing is like our website is a great way pop us a wee little thing. Or you can email me direct at Nik. N i k dot ranger at dejan.com. Today, you can email me direct.
Kate Toon:
Well, look, I’ll include links to all those bits and bobs in the footer. And if you do hit Nik up on LinkedIn, maybe just say, recipe podcast, so she knows you’re not trying to flog her some links or just use hashtag entity or hashtag pastry tok. Entity tok. There’s your new thing like entity tok. You can be you can own that space. Boy. That’s your challenge. Now I’m gonna go and look up entity tok now and see if anyone’s done a TikTok on that. Anyway, amazing to talk to you. Thank you for your time today. Yeah, I find the best way to communicate with all these wonderful SEO people is via LinkedIn these days. I feel like everyone’s kind of migrating from Twitter, but we’ll see what happens. But thank you, Nik, for your time. And yeah, chat to you soon.
Nik Ranger:
Thank you so much. Subscribe to this podcast, everyone. It’s been great. Thank you.
Kate Toon:
So that’s the end of this week’s show. What a legend Nik is. And I have a lovely review here from Natasha from Queensland who says, “This is my go to podcast, podcast, podcast for SEO and business. Each episode is full of information that professionals in the digital field can use and also business owners wanting to do some SEO on their own brilliant podcast.” So thank you, Natasha, thanks to you for listening. If you have not left us a review, but are a longtime listener. Maybe today’s the day just head to iTunes on your phone and tap in a little quick review be super grateful. As I said show notes for this episode are on the recipe for SEO Success website. We’ve got links to all Nik’s various bits and bobs and also a link to that article on entity SEO. So if you’re still left a little bit confused after this episode, because it gets a bit weird to get your head around, it’s a lot harder to wrap your head around then put the key word here. I think I think you might reading through that article might help as well. So check it out. But there we go. Until next time, happy SEOing.
