Episode Transcript
[00:00:01] Speaker A: Hello, I'm Jeremy Rivera, your unscripted SEO podcast host. I'm here with Matt Coren of Runoctopus.
Give us a quick introduction and tell us why we should trust you in this day of SEO and AI.
[00:00:18] Speaker B: So, like yourself, I've been involved with for a long time on search engine optimization, and we'll probably talk a little bit more about my story and what brings me here today.
But ultimately, as a person, I can tell you that I'm fact based, research based, and I really, really care about helping people.
And so I'm trying to bring something to people that are running small businesses or even, even somewhat bigger businesses, a new message on what I believe is a real fundamental shift in how humans use technology to search.
[00:00:54] Speaker A: I'm feeling the winds of change as well. I've been, you know, as you pointed out, I've been doing this 20 years, and I'm starting to see signs that the traditional way, I call it the golden age of SEO, you know, from 2010 to 2020, where all of the budget was there, all you needed to do is edit some meta titles, write a few blog posts, grab a few backlinks, and, you know, you're pretty much on your way.
That age is long past, and I think a lot of it has to do with the concurrent rise of multiple devices along with multiple new ways for search to occur. You know, we, we've had extinction events before in SEO, and I don't think it's an extinction event. I think it's, you know, you know, because we've seen Google step out and say, oh, you know, the mobile's going to change everything and virtual Siri is going to change everything. And, you know, people are like, oh, video is going to change everything and social media is going to change everything.
And I don't think, you know, SEO is dead. I just think that we've, we've been changing. Like the entire basis for SEO really is a willingness to adapt to the moments of that marketing reality. You know, it, it would 1998 and the first major search engines arise was a totally different model of businesses being discovered and consumers coming to the market with their money.
Totally different than, you know, people looking in the phone book and making a phone call to somebody or seeing a billboard and coming, you know, so we're in a moment now where this is impacting us. At the same time, what's your hypothesis, or if you have more than one hypothesis, what's your theory about the state of search right now?
[00:03:04] Speaker B: Well, I like how you explain how you're where you're coming from. And I know you've been involved in this work even longer than I have and probably seen more changes than I've seen.
But I started my work right before that mobile, that 2000 mobile get in, you know, 2016.
[00:03:25] Speaker A: 14. Yeah,
[00:03:27] Speaker B: or 14 maybe, but.
And so I think of it in more simple, non technological terms.
So I believe that the way that we're interacting with technology is changing.
So now we're talking to our technology and we're getting a response back and then we're responding again.
And so I think that as people that are worrying about how does a business get found by technology, we have to chase that. We have to understand that the way that our potential customers are interacting with technology is, is not the same anymore. It has permanently changed. We have gone from doctor near me to, I'm 47 years old with a, with I've had two meniscus tears. I have gone to the doctor many times.
Can you help me find a doctor within 30 miles of Daytona Beach?
And so I think the question, there's a lot of questions that come from that and I think that that's the before even people will ask me, oh, what, how is the AI finding people? How, how is this changing? Before doing that? I think if everybody understands and realizes that this is actually a great time to evaluate your own communication about your business.
Because your business isn't just one thing. I mean whatever you do, there's multiple facets to it. And now is a really interesting time to brainstorm where, what if you were finding your business, what kind of things would you do? And so I think that's where this all begins.
[00:05:13] Speaker A: Have you had a chance to see Ben Wells? He did a really interesting approach, very methodical and he looked at vector embeddings as a useful window into understanding LLMs. And he did a ton of searches.
You know, vector embedding is how text on a site is then turned into numbers so the LLMs can process it and that it turns out that those vector embeddings contain context clues as to how these items are related based off of the numbers that they're assigned topically.
And so he did a number of different studies using that methodology and a couple others to try to take, hey, these brands are really highly visible in search, these are not. And so did a correlation study of what are the factors that you could slice these. You know, the number of words on a page, you know, the category of the page, the number of backlinks to the page, the number of mentions on a third party site to a page and he actually came back and said for the first time as a data scientist in SEO I'm almost on the boundary of proving not just correlation but causation and being able to mathematically prove that in LLMs backlinks from topically relevant based off of vector embedding pages if the vector embedding of the page that you're getting a link from matches your vector embedding he said it's almost correlative or it's beyond correlative, almost causative in terms of like proof that it impacts your rankings, impacts your visibility in AI. Now it shocked I was surprised. There's actually a lot more interesting information there. So you said that you were into research as one of your factors first what are your thoughts on that as a feedback on the system? Because for a minute I was like I don't know if backlinks I know that mentions play a role that's pretty obvious but it wasn't obvious on the surface this if backlinks also played a role, you know and so links to a page on anchor text not branded was his definition and then also co occurring just right under that mentions and then branded links as well. So all three of those were provably correlative and one of them was borderline causative.
So I'm curious, what's your take on that data from opalerts and Ben Wells research as well as do you have any other research that's kind of surprised you as you've been digging into AI and AI results and SEO.
[00:08:21] Speaker B: So people that are focusing on the embedding models the engines don't publish there. So of course he's testing and trying things out and there's no human on earth that can do enough tests to really find out anything. I mean with a thousand tests to me is still not even enough. And even if you run AI on computers all day we're in a different mode now I think we're in such an exponential mode that where my interest is much more in the standard retrieval architecture the field uses and and the agents, I mean the engine sorry have described in their general terms.
So what I'm my understanding of what an embedding is is that a neural network maps text to a point in a high dimensional space.
So a dense vector of a few hundred to a thousand few thousand numbers they're common. It's trained contrastively with the with a loss.
And so then the question and the passage then answers it, it gets pulled together and non pulled apart. So in layman's terms and plain terms, it turns meaning into coordinates. And similar meanings land near each other, even with zero shared words. So how closeness is measured through similarity. So the angle between two of these vectors. So a question is embedded with the same model. The system returns the nearest passage vectors and the plain way of saying that the question becomes a point. The system finds the passages whose point are nearest.
So why that meets a page at the chunk is because the pages are split into chunks of a few hundred tokens at a time and each chunk is getting its own vector. So a chunk that answers one narrow question can sit sharp right next to that question and a generic paragraph embeds near the center of its whole category.
So that's kind of like the math behind delete the logo. It's generic text clusters right in the middle.
So that's kind of leads me toward why the long narrow questions are winnable today, which is a short head term, is ambiguous and sits near thousands of big site chunks. A long precise question has few chunks nearby. So if yours is the best one, you're the nearest neighbor, so to speak, whatever your size may be.
Does that make sense? So far
[00:10:47] Speaker A: it does.
And it's not something necessarily new. It was what 2018 passage rank was, something that Google put focus on.
They've been doing chunking as far as their algorithm is concerned for quite a while. So it's, it's also mirrored in traditional rag results as well as how LLMs chunk up the pages.
[00:11:14] Speaker B: Yeah, totally.
So that, that's really the, the next, the next key to that is how queries are happening. So one user question can be rewritten in a several subqueries so each is put, each is embedded and retrieved separately and then the results are fused. And so that's kind of like just to bring it to the inner, like the basic, basic terms.
So then when it comes to backlinks, they are helpful and still work. But I don't believe the way that people think.
So backlinks, obviously we know help because they're a kind of vouching, right, A type of recommendation. And vouching is what the machine is looking for.
Ahrefs. I don't know how people pronounce it.
I say ahrefs.
They looked at 75,000 brands and found that a brand is simp. How often a brand is simply mentioned across the web tracked AI visibility three times more strong than regular backlinks just did.
So kind of like what you were talking about, but just even more than just Backlinks only now.
So what I kind of take from that is that a link is really like a boat and the AI engines retrieve the indexes so that things can help a page rank but a mention in the right place by someone with nothing to gain. Which is I think why we're seeing Reddit be so powerful and something that a lot of people are turning to in order to see some results there as well.
[00:13:02] Speaker A: I'm seeing also this anecdotal as I was going over this with one of my new clients as a subcontractor and he had six pretty big SaaS software and he was just comparing really like backlink wise they're almost, they're all the same in the same weight class but in organically in Google they're also about the same weight class of organic results. But there was a massive disparity between two of them in how popular they were in LLMs and it correlated so strongly with their G2 ratings and their ratings on other large signal boards like G2.
One of them across those three had like a 3.2 or 3.5, you know, in the solid three range and the other two that outperformed were in the four and a half to almost five range. They were very popular on those third party indices, industry niche directories that have traffic.
So that's also reflect, you know, and that was also reflected in you know, social notes, you know, on Reddit.
So I think there's that, that confirmation layer that LLMs can tap into, it seems much more responsibly or much more effectively.
I think it's because Google has been so has had such a high need to be insular about its algorithm that the defenses it's put up because rankings could be shifted with link building that we just took for granted that that was the only way to move the needle.
And we kind of detached ourselves from the rest of the larger marketing team and the product marketing team and the product management team to the point of yeah, we need to SEO the site but not being involved in the product decisions that are making people unhappy and going to post to Reddit or going to giving up a bad review score or low review score on G2 or similar sites or appsumo or those kind of marketplaces.
But LLMs seem to have a pretty good memory when it comes to review information, particularly negative review information.
God forbid that somebody put out something about one of your features that really stands out. I've. I had one client where it kept. Every time that we would prompt it, we'd end up with a small segment as, as it, because I think it wants to be quote unquote fair, that it will always try to leaven the response with positive and negative. And so it's going to find a negative to include.
So it has to have a process to find that review information because it's, it's more of a decision layer I think.
You know, Daniel Hibbert of Elena like pointed out to me that there's like this decision layer that we have to, you know, contend with now that is parsed and processed as part of that AI layer that we have to deal with. So you know, instead of us navigating the 10 blue links and then coming to our own decision based off of, you know what we can read what's been put out there overall from the brands and from third party entities, affiliates. Now that decision layer, there's a layer that we have to filter through but that's also now a new surface that we can potentially push signals into and change the outcome. Right, that's the game.
I would say that because LLMs are, are making decisions about what should surface, that represents an opportunity to influence the sources that are helping make those decisions.
A second, a second bite at the apple if you will. Because before the game was solely Google because that was the only decision that we had we could influence was whether or not we showed up right in for a particular query.
But now we're trying to influence a second additional layer and it's more complicated because the old layer of Google didn't disappear. It's still there and it still plays a pretty big role in most LLMs as far as I can tell.
[00:17:56] Speaker B: Well, I think it's all the fundamentals just now it's gone to a new place. So I don't think that 500 word articles, even 900 words or a thousand word articles are enough anymore.
I think that authority and encyclopedia level content is completely necessary now because this recommendation is based on who is giving the information that, that they're being asked. And so with my, with my E commerce business that we exited out of in April, we went from zero clicks. We still have the website up and still add content to it.
Uh, in the last 28 days we've had 7,800 clicks up from in February, zero.
And so the, the formula we went on is the subject, the situation and the question type and then a real honest page for every cell worth answering. So we go by the product and then we were selling insects to reptile owners. So we say that product is for a species and that species can be at a life, at a life stage. That species could be in a different setup.
Then there's questions. How many, how often this versus that is it legal in my state? And why won't all. All these different questions and so that you can see can take you from no content to several thousand pieces. And now they have to be great and they have to be navigable by technology.
And so that's why I created Run Octopus, because I could not do that on my own. And there's no product really that's doing that.
And small businesses that want to make a dent and want to have a new channel bringing them leads and bringing them customers in the next year or two with this big shift have to be able to outdo their competition. And so really just going to ChatGPT or Cloud and getting an article and putting it up is just not going to cut it because it, you have to think about it, like if you went to a friend and said, my knee hurts, where do you know any knee doctors?
If that guy said, no, I've never been to a knee doctor, but I heard about this other doctor, now you might take that into account, but that, that recommendation just got weaker. Now you might go to somebody else and say, did you, you know, have you ever been to a knee doctor? My knee hurts. And they say, well, I went to a knee doctor, but it's. The guy didn't really help me. You're not going to that doctor now. And you keep going down the list. And so just like with regular humans, it's the same exact path for recommendations.
And so the challenge, I think right now for any business is how do they, if they want to compete here, how do they do it? What do they need? And that's to me, the really fun question, because right now I think that there's an opportunity for any business.
One, one interesting thing that, that I found is if you go to ChatGPT and pick any big city, ask it for, or even a town, sorry, ask it for the best coffee shop nearby, and Starbucks is never going to be recommended.
It's always going to be a actual local business.
And that's really awesome and that that holds true for pizza and for air conditioning and everything else. Domino's is not gonna be recommended if you go for pizza in, you know, Encino, California, whatever, so that the opportunity's there right now.
[00:22:00] Speaker A: What's, what weapons do small business owners need to have in their quiver to answer the question of, like, what you need to fight right now? Like, if you're Looking at your competitors, you're looking at, you know, a keyword and saying, oh, hey, if I could outrank this other company that does the same thing that I could do, you know, what do they need to bring to the table these days? What, what's the, you know, you said it's not enough to write, you know, a 4,000 word, you know, a 500 word article, even a 900 word article. So what do you need to bring to the table in order to be effective? Now
[00:22:45] Speaker B: the theory is, before talking about the actual tactics and strategy and execution, the theory is really what if you again, going right back to this, I just like to use really plain examples for people to understand complicated things. And so going back to the idea you had hurt knees and you needed to find a doctor.
So if, if your customer is coming to your website, meaning and your customer in this scenario is the AI tools, how are you going to give off that you are the Albert Einstein of your, of your topic?
What, what are you going to do to demonstrate that when it comes to this, you're the rock of wrestling, you're Tom Hanks of acting, you are the champ.
And so that's number one. That's the theory there. So why is a 500 word article a 900 word article or you know, the old, the old school way of just saying doctorate in Los Angeles and Dr. In this. And why is that not working? Because it doesn't demonstrate this excellence. It doesn't, it doesn't demonstrate a desire or it doesn't elicit a desire from a AI tool to come say this is the, this is the guy to, to recommend.
So now the question and the challenge is obviously, how do I go about creating 60 to couple hundred pieces of content that would score at the level of a Pulitzer Prize New York Times writer every month?
Because that's again, when you're talking excellence, you're talking recommendations. You're talking about really needing to make your website the go to and you know, the Wikipedia of your topic and your town or whatever for whatever locality you're in and so in that. But I like to tell people, if you weren't using my tool, then start out with just 10 questions that you think people would be going to ChatGPT and asking that you would want people to, you, you would want to be recommended for it. You'd want to be the answer. And then once you start with those 10 questions, you can really find variations of them. So give me an example and I'll, I'll riff off one.
Give me a Business
[00:25:09] Speaker A: Concrete walls. You install concrete walls
[00:25:12] Speaker B: Where?
[00:25:13] Speaker A: Florida.
[00:25:14] Speaker B: Where?
[00:25:16] Speaker A: Pensacola.
[00:25:17] Speaker B: Okay, so the old school is concrete walls in Pensacola, Florida, right?
Now let's talk about Pensacola for a second. This is where. This is why I say it's an interesting time, because Pensacola is the tragic victim of a lot of bad weather, right?
So now you might say, can I do concrete walls after a hurricane? How long after a hurricane do I need to wait till I work on concrete or my new concrete walls?
How much do concrete walls cost in Pensacola? How you know, then you add to it in winter and summer and fall. And then you talk. When you talk about summer and you talk about fall, you talk about winter, you talk about actual specific differences and unique things in Pensacola, Florida, about that weather because. And about the changes because that's how you actually don't just mimic your content, right? We used to be able to just be like, you know, in winter and then change three words. So all of Run Octopus's content, even if it has just a slight variation in the title, complet unique, 100% unique, would not get a duplication score.
So let's talk what, what else with concrete walls? There's small. There's small projects, there's big projects. There's. There's large projects. There's. There's so many things that you can see now, like I have a big project in Pensacola, Florida. Who is a good contractor for that, right? So you'd want to have content that talks about how you go about big projects.
I don't know much about concrete walls, but I'm already, we're already at like 10 pieces already.
And, and so that's, that's just, you know, in two seconds, thinking about 10 or thinking about 10 questions. So the first thing in Run Octopus is that we create this map. There's an. Our AI will go map out the next 600 questions that have to be answered over, over the next few month period. And doing, doing just that type of work. I can't do. Whatever I just did is, is bupkis to what a. You know, what this tool can. So that's kind of the thing to think about. It's like, where. Who, who is this person? What are they up to? What are they asking? Why would they be asking? And those are like real, just fundamentals. And really it matches. And what we talked about at the beginning, which is that, you know, you see now I'm sure if you walk, you walk and I walk my dog or you walk with your wife somewhere, you see people talking to their phone, they're talking to ChatGPT, I ask people, I ask everybody how are they using AI. And a lot of people you would never suspect are telling me that they're, they're doing voice notes or you know, 10 paragraph things to, to chat.
So you know, so think about that's, that's the, the 30 to 40% of people now, maybe even more. Google is probably scared to let us know that they've lost more than half their, their traffic. But, but that's. So if people are going in that direction, how are, that's, that's how we start matching it.
[00:28:12] Speaker A: Yeah, I think this stat and my Claude AI will yell me later when I'm editing editing this and tell me my percentage was wrong. But I think ChatGPT's numbers is, is Claude and everything else is nearing 20% of search marketplace traffic.
And that's why you know, the alarm sounds are, are going, the Klaxons are finally blaring within the Google headquarters because commensurate to that their ad revenue has also decreased in this last quarter. So I expect to see some pretty big shifts.
In response from Google essay that percolates back.
What I found actually interesting was John Mueller's callous but fair response because I pointed out he's fairly active on the, on a couple of slack channels also on Bluesky John Mueller from, from Google and I pointed out that hey, if there's, I did a study and 64% of Google search console traffic across I think I had 42 access to 42 Google search console profiles looking at 5 million queries, 64% of them were being anonymized.
And it's like how can this possibly be that you know that if you talk to any SEO, they're like where can get you the most accurate numbers for search? And you're like oh well it's Google Search Console. Like you're talking about a source where 64% of queries no longer show the query level detail. It'll tell you you got the click, you know, you got a hundred clicks and out of those, you know you got 38 of them that are giving you the query level detail of the exact query that went to a particular page. And Mueller confirmed, yes, that is happening. But it's because they are unique queries and if it doesn't rise to the level of his words, where if there aren't dozens of searches within a month, then it won't register as a keyword that's eligible to be displayed. It will be anonymized and so that means 64% on average across sites, and it fluctuated a little bit up and down. The best case was 54% out of all of the profiles that I had access to, 54% of queries are so small or so unique, you know, that they have, they're not done frequently enough. And it blows my mind. But it also makes sense because we've been retrained. You know, Google did a lot of training of the populace to get them to think in terms of search, head term, phrase searches. That's what they, you know, oh, go Google. It wasn't an invitation to talk to your microphone for, for, for a minute and put a, you know, a very specific personalized thing. They're like, no, type in dog shoes. You know, type, you know, type in, you know, these things. That's all of the advertising. If you go back to, you know, from 2000, their first advertisements, and what they put into that search, what they want, wanted people to do, what they spent millions of dollars training people to do, was to use their search engine for head terms as much as possible. But that's broken now.
And that's what LLMs, you know, cater to.
And so we have a totally different search ecosystem now. And we have to play the game like you're suggesting. You know, we got to go back to those, go back to the process of interviewing our clients, Interview the salesperson. I interviewed the, the installation manager.
What are the problems that they, they constantly come up with, you know, what keeps them, what makes them happy, what makes them frustrated with the experience, all of that. You know, if you're, you know, one lady I just started working with, she does holistic lice removal with chemicals. I'm like, okay, what are the questions you have to answer every single time they come in? Like, those are the questions that we need to be populating so much more thoroughly. So it's more like context mapping of, like, of, of being far more detailed in the content that we're putting out, because all of that input is going to affect LLMs a lot more than we were being rewarded for creating any type of content. Content. Google, the reward system is different, right?
[00:33:04] Speaker B: Yeah. And the, the thing about the anonymized searches too, is so you can still find out. And then also I think it's important to be running the, running these types of queries through the chats and, and seeing what, seeing where you're at.
But the, they can anonymize things anywhere from a hundred, something that has a hundred searches a month or 200 searches a month down to zero. And so the problem with that is when you're thinking about this new exponential era that if you have, let's call it 300 searches that are an average of seven or 70, 70 times a month. So that might be anonymized, but that's right there, 20, 100 or no 21,000 opportunities to be found. And let's say you were doing really well on those. Let's say you were getting 25% of that. So that's 4,000 clicks right there. That is anonymized. And so people that are getting stressed about that I think should not be thinking about it so much because it's still there.
And, and you know, you can, you can track now still still the same way. And you have to be able to do it with, you know, number one, you still are getting, you still getting to see how many clicks you get and, and you get to see what the phrases were that came through, those should be studied and leveraged and used.
And then, so what we do as well is so our models are scanning the queries that our clients want and have and then they're seeing what the improvement looks like and what the results are and then continuing along that way. And you can do those, you know, by hand. You don't even need to use us.
We have a more advanced way to do it. But you can just take queries by hand and go to ChatGPT or Claude and ask it questions too. And so I think that people, I, I'm willing to let people get stressed about the anonymized searches and ditch them because I want, I want all those, I don't care if something is 60 times a month because I see right now that we're trying to answer thousands and thousands of varying variations of questions. And so I'm much more focused on when you think about 60, 80 times a month, maybe even 40. But you know, the thing about it is there's money on the table depending on the business. I don't know concrete walls, but, but I'd imagine that's several thousand dollar job and, and not a lot of people are searching it. So, and I think many times in the last several years, if not, if not longer, when they kind of rolled that down to make it harder to see. A lot of people gave up on search engine optimization because they stopped seeing those kind of results and knowing what the, or if they, if they saw, I don't know, concrete walls. Pensacola, let's say it's 50 times a month, but it shows zero.
It's like, oh, well, we shouldn't work on it. No, you should.
[00:36:12] Speaker A: It, it is, it is a different game. And, you know, there's been times where I've made arguments, you know, I've made tools. SE Arcade, my current podcast agency site used to be just a keyword cluster tool.
And, you know, the search volume number kind of, you know, predictable enough where I, you know, followed through of like, hey, here's what the organic CTR is, here's what our, our general conversion rate is. Here's what our, you know, that, that sales conversion rate is, and here is how much revenue you make out of it. And you could do that kind of forecast. And I, I think we got spoiled with data and I think we're in a different moment. I, I think we do have to be a lot more willing to put in more work with a little less certainty in one way of, like, getting feedback from the system, but doing a much more diligent and thorough job of creating content that thoroughly addresses the context. You know, who, if you're selling something for E commerce, you should be explaining just as much about the product itself as for who it's for and who it's not for and shouldn't be. Like, there's, you know, the classic trope of like, you ask a business owner, like, well, who are you, who you're targeting? You're like, everybody. You're like, no, bro, you got to break it down. Like, there are people that are your isp, ideal customer profile and people that aren't. So let's target them and define them and connect them to this product, to connect them to this service. You know, If you could give your target audience, if they're amongst my listeners, a takeaway, something for them to grab on, a sentence, that's going to change how they approach SEO, how they approach content, how they approach optimization for their business right now, would that be
[00:38:24] Speaker B: so? I think it's very important to be aware that, you know, if you're a business owner, I'm sure anybody can relate. They think about advertising and marketing a lot because that's how we get more customers now.
New channels of, of how we do that don't come around every day, in fact, very rarely. And so right now is an opportunity to take a very big blue ocean that is not being seized by everybody just yet.
And I will tell you, I'm the, the last person to ever buy into fads. I don't. You know, when NFTs came around, I left them alone.
And I think that this is clearly not a fad, it's clearly real. When Google, the biggest company on earth, is losing money because of it, then it's real and it's here to stay. And even if it goes all back to Google, the way we're interacting is still changed. And so it's really important to think about what that change represents. And it represents that your customers, before they come to you, are having a conversation with technology before they get to you. And if you want to be the one that is recommended by the technology, you have to start thinking about how do recommendations in the real world work. And you need to become excellent at answering those questions and presentation of those of those questions. And I know it's hard and I know it's a big challenge, but we don't want to miss out on a channel that is right here and able to bring in customers that don't cost you any money. They may cost some time, but this is the kind of work that if you're putting a pillar in the ground right now and your flag on the, on the territory and the real estate, it's going to pay off for the next several years. Maybe not, I can't say five years, but at least two, at least.
And so think about it just like when a websites came out. This is where we're at right now. And so yeah, you're busy and you've got a lot going on but nothing, nothing can help a business more than than new money and new, new customers coming in. And so I'm encouraging. That's why I do the podcast. As much as it's nice to get a customer from one, I'm really, really passionate about this. I saw what it did for my business and what it's doing for my clients right now. And I really like just feel like I'm part of the advocation or advocacy I should say for this work.
[00:40:51] Speaker A: Absolutely love it. Give a final shout out for any resources that you want to send people to.
How can they find you your website and what they should expect when they get in touch.
[00:41:02] Speaker B: Our website's runoctopus.com Right now we have a free scan of websites that are available to anybody that comes. It's going to give you. There's a lot of free scan. Everybody's seeing free scans all over the place right now. Ours is quite different, ours is quite advanced and it's going to give you a real good breakdown of your website and what an early plan would look like for you. Whether that be with us or your art or yourself. We have over 1200 pieces of content about this work on our website. It's called the Search Playbook.
There's a lot of very easy elementary readings to take on and there's more advanced as well.
There's also a free book on there that I wrote called how the AI Picks and so you can get that. It's quite research based and very technical, so it may not be for everybody, but the scan is great, the articles and tools are great, and you can press a button and chat with me. I'll be right there if you ping. I'm very quick with this stuff, so.
And I wish everybody good luck.
[00:42:09] Speaker A: Well, thank you so much for stopping by, Matt.
[00:42:12] Speaker B: Thank you so much as well. It's very nice you're.
