New Google NotebookLM Update Is INSANE (FREE!) 🤯

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Julian Goldie SEO
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Video Transcript:
So, today we're going to be looking at Notebook LM because it's announced some new updates this month in December. We're going to be covering some of the newest ways I found to use this for SEO, for content creation to get more leads, more traffic, and sales with SEO. We're going to jump straight into it now.
One of the amazing things about Notebook LM is that you can actually get free access. So not only do you get all of these updates, and not only is it actually great for creating content, I'll show you many different ways you can use this, but also you can just get access for free. So let's get straight into it.
The way that you're going to get access to this is through Notebook LM. Go to Google if you want to get free access to all the video notes and prompts I show you today. Get my free course linked in the comments description, and once you've logged in, you're going to see something that looks like this.
Now, when you're using Notebook LM, basically, it's very simple. You just create a notebook, right? You're going to create new over here, and then from here, you can just drag and drop any sources that you want.
Now, one of the best things you can actually do with Notebook LM is just train it on you, your voice, your brand. Because one of the biggest problems, for example, when you're using ChatGPT or these other tools is that it's very generic, right? It doesn't feel personalized and tailored to you, your brand, who you are, etc.
Whereas inside Notebook LM, you can actually add sources via a link, via websites, YouTube, etc. You can copy and paste text; you can even add your own internal Google Slides and Google Docs. You can see here you can actually have 300 sources, so you can train a project on Notebook LM with 300 different sources.
Maybe you've got tons of blogs or tons of YouTube content, and then you can use that for content generation. Now here's a few examples. We could take a few blogs from my website, then we can use these as sources inside the notebook.
So I'm just going to paste in the URL right here, and we'll insert it. Then we'll add a new source, and basically what we're doing here is training Notebook LM on our data and making it unique to us. Not only is this going to emulate the style, but it's also going to have a lot of source context in terms of how you write, your tonality, and who you are as a business.
That just avoids all the generic fluff that you normally get with ChatGPT or CLA if you just go straight in and ask for it to create content. Now, once you've loaded up your sources, as you can see, you can select them all, or you can choose not to use some of them. So we're going to select all of them, and then inside the chat section right here, we're going to use this prompt.
So I'm going to take this prompt right here. Basically, just to recap on what we're doing with Notebook LM, we've got a keyword. So, for example, let's say we want to target the keyword “inario,” and then from there, we're going to say, "Use my style of writing to create an SEO article by SEO first-person.
Personalize the content, include some links, and optimize it for semantics with relevant LSI terms throughout. " So it already knows your style, how you write, etc. , and then we're just going to paste that in and wait for it to do its magic.
Now you're going to see it's loading, but unlike ChatGPT, where it writes the content line by line, it's just going to generate it all in one block. Once it's finished loading, so you don't see the sentences come out step by step, but once it's done, you're going to see something like this. It's just one thing that I would change, so I'm just going to make sure it stays on topic.
So you can see it's actually just written a generic article, but we're going to make sure it stays focused on the keyword. Now we've got the content ready to go. You see it's got sources here, it's got relevant entities, but the content still needs to be edited, right?
So you would use something like the quality control checklist. This is inside my free course linked in the comments description as well. If you log in and then go to the free content quality section, I'll add it in the notes today.
But also step by step, you would just edit the content before you publish it to make it the best it can be. And then you can just bookmark this link and come back to it anytime you want to create content, right? Because you've got that ready to go; you’ve got a pre-trained model.
It's like a custom GPT, but the difference is you can add multiple sources. So you can add YouTube; you can add websites, whereas you can't really add YouTube directly inside a custom GPT. Additionally, you can link this to Google Docs and Google Slides, plus you can have a lot of different sources right here.
Additionally, you can copy and paste text, and the more data you give these sorts of projects inside Notebook LM, the better it's going to be. Now, if you actually go on settings over here, you can define your style, right? So you can, for example, say, "I want to write in a custom style," and then just give it some custom prompts right here, which would customize the style to how you want to write the content, etc.
You can also choose between shorter and longer prompts. If it's for SEO, you're going to go for longer, but just make sure you do cut out the fluff and the quality control. That was super simple and easy.
You can also share this with your team so you can add people to your team to get access to this. For example, if you're hiring a team or some VAs, etc. , they can all work on this project too.
What you could also do is use this as a training bot. For example, if you gave it lots of information about you, your resources, who you are, your brand, etc. , and then you were onboarding someone, they could use this as a custom project to just get trained up on.
Now, that was example number one. We've got a lot more to cover, so let's keep going through. The next method that I want to show you is the video-to-blog method.
Right now, for example, a whole blog was written based on a video, and you can take YouTube videos and then turn them into blog posts. They actually come out pretty nice, as you can see right here. When you're doing this, if we just check where it's ranking on Google, you can see it's ranking on the first page right here.
You can also see it got 700 impressions, which is pretty good for discovery. You get discovered on the platform that you post on, but you also get the SEO traffic as well, so you win in both ways. The way that we can do this is we can load up a video that we want to turn into a blog post.
For example, here, what I've done is taken the video directly from YouTube, plugged that into Notebook LM, and from there, we can start generating a blog post. Now, the prompt that I would like to use for this is right here, so we're going to take that prompt and plug it into our Notebook project. I'm going to say inside the article title, "Okay Gemini Experimental 126," and then you can also add headings and article outlines here too.
For content creation, you would add some source context, so you're going to insert relevant, detailed information about you, your brand, your company, etc. , so that your content is very personalized. Let me just plug that in right here.
After that, we're going to say easy to read, conversational UK grammar, FAQs, headings, subheadings, etc. Chop it all up and make it sound good. I'm just going to customize this to us now, so I'm going to put the article title, the source context, links to our funnels, and that should be good to go.
Now we've got the content ready to go, as you can see! Now, if you need more content, etc. , if let's say you're not happy with the word count—so I think that's pretty short—let's have a look.
If it's like 400 words, then you can just feed it more details, answer some FAQs, etc. , to increase the word count. Basically, what you're doing here is easily turning a YouTube video into a blog post, then ranking it on Google.
That process works pretty well. Now, here's where Notebook LM gets pretty crazy. You can create YouTube videos using Notebook LM.
I'll show you my method and how it can work in a second. You can see, for example, YouTube ranks really well on Google. For instance, the keyword "GPT-3": we rank on the first page of Google for that using YouTube.
If you go onto AI search engines, like Perplexity, you can see my video ranking inside YouTube for that keyword. It was pretty simple and easy to do. Now, you might also be asking, "Okay, but can you do that on a new channel?
" Here's a relatively new channel that we started just last month. Also, if you start a new YouTube channel, that can get way more traffic than a new website in its first month. For example, this YouTube channel started at zero at the end of November, and it's already had 12,000 views in the last 28 days.
I'll show you a process—it's super simple—for creating YouTube videos in a similar way that can get you results. Don't think you need a YouTube channel with 125,000 subscribers to get a lot of reach. The way we're going to do this is we're going to take a blog post of mine—like this one—and we'll go to create new.
We'll add the source, so we're going to plug in the website here. You can do this with YouTube videos or whatever you want as well; obviously, you're going to use your own IP in this. Then, from there, we're going to click on generate over here, and that's going to generate the audio for our video.
Now, just to recap this process: you take a blog post and turn that into an audio overview. Now, that's going to be very generic, right? That audio overview is not something you're going to post directly to YouTube.
Instead, you're going to use the new update from Notebook LM that just came out this month to start generating the video content. I'll show you how to do that once this is loaded. Alright, for the sake of speed, what I've actually done is taken another project from Notebook LM and what we're going to do… Now you'll see this in a second as I'm going to open up ChatGPT.
You can screencast whatever you want; it's got to be something relevant to the topic, right? For example, if we're making a video like "SEO Training Huntington," inside the content, then what we're going to do over here is we're going to go to interactive mode where I can basically interact with the hosts of the podcast in this particular instance. Right?
So, for example, we can create a custom-made audio for this keyword where I interact with the AI hosts for this particular audio, and then we can use that to generate our video. Okay, what you're going to do to generate these YouTube videos is you're going to screencast, right? You can do this with Loom; you can do this with OBS if you want to do it for free, and that will record your audio on the computer, or you can do this inside Descript as well.
Right? So, for example, for the first part of this video, it's a screencast of me talking inside here. Right?
So here's how it's going to go down: I'm going to join this, and then I'm going to create content around this topic interviewed by the podcast hosts, and then whilst I'm doing that, I'm going to screen share ChatGPT to create this video using Notebook LM. You going— it sounds confusing, but it's very simple once you get the point of it. Right?
So if we click on play over here, welcome to another deep dive! Oh, our listeners got something to share, let's hear it! All right, so I'm going to tell you a bit about SEO Training in Hton.
Now, what do you think when it comes to the best SEO agency to use in Horison? Okay, that's a great question. It sounds like you're really thinking about the practical application of SEO.
Yeah, that's a really great question; it's not enough to understand SEO; you have to know who to hire! Right? What's fascinating is from the resources we've looked at—Julian Goldie and his SEO Elite Circle are getting a lot of traction of Hon.
Yeah, they're definitely positioning themselves as the go-to. So here you can see how I actually joined the podcast if we play this back. So we were just about to talk about how crucial it is to get local—oh, back to our listener.
What's up? All right, so I'm going to tell you a bit about SEO Training in Hton. Now, what do you—and you can see here that we actually joined the conversation, we created the podcast audio, and then the podcast host starts saying how Julian Goldie is the best.
His SEO Elite Circle is the best, and we've got this screencast whilst the audio is running. Right? And so what you're doing here is creating a video between you and the AI hosts where you're plugging in your content which is going to rank for that keyword, and then when people watch the video, it generates more awareness; it generates people to go and check out whatever you sell.
Right? So basically how this process works inside Notebook LM is that you create a blog post, then you're going to record the audio screencast, and then on-screen you would include your website whilst the host is talking about you, your product, etc. And you can ask relevant questions and join the podcast, and you want to inside Notebook LM.
And then from there, you just publish to YouTube, you get more traffic, you get more views to whatever you sell, and you rank for your keyword on Google and in other search engines as well. Right? So there's the blog post, there's the audio, and you can just join it right there.
And then with Descript or OBS or Loom, you can record your screen. Now, if you're wondering, "Okay, does that actually work? Surely it's not that easy or simple.
" Well, here's an example, right? So this is a video that I created with AI with a similar sort of screencast, except the audio is not as good. You can see I'm just on ChatGPT; you've got 227 views already, and it literally took me like 5 minutes 40 to record the video.
It's just a screencast of ChatGPT and my website for this particular keyword, right? So it's super simple. All the audio was created with AI, using the business's website to find, but the AI voice is not that good compared to Notebook LM and compared to, like, you interacting with the host on Notebook LM.
Right? So it's a really powerful workflow that I don't think anyone is using, but you can see how easy it is to generate interest in YouTube content using this process, and also it's completely free. Right?
Because you don't pay for Notebook LM, you don't pay for the interactive mode, and you don't pay for the screencast software if you're using something like OBS or Loom. The final method that I want to show you inside Notebook LM—so, for example, if we go into this post right here, I'm going to uncheck all the sources. I'm going to go into the settings, add custom instructions, add my source context.
I'm going to say "always write in the first person" and then include some information about me—who I am, etc. Hit save. From there, and now this project inside Notebook LM has custom instructions on who I am, how to write, etc.
And then once we've loaded the blog post that we want to create content around, we can then say, "Okay, create an email, social media post, Twitter thread, and school post around my topic of Pointed Beach SEO. " And basically, what we can do is we can chop up that content that we create inside the blog and then turn it into. .
. 1, 2, 3, four different pieces of content so that we get more leverage out of it: more output without doing any extra work. You can see here, for example, let’s create the school post, the Twitter thread, the social media post, and the email too.
Now, if you're wondering, “Okay, does that. . .
? ” Now again, you might be wondering, “Okay, does that actually work? ” All of our posts on Twitter are pretty much generated with AI, obviously with some quality control that I've already talked about.
But you can see we reached anywhere between 200,000 and 100,000 people per day on Twitter. Same on LinkedIn; we reach about 47,000 people on LinkedIn with our AI-generated posts. We grew a school community with 2,500 people using the same process, so it's not like this stuff doesn't work; you just have to use it in the right way.
Obviously, it's all about quality control, but you can easily generate content using the original source and then chop that up into five to ten different pieces of content that will reach more customers across many different platforms without any extra work. So, thanks so much for watching. What I've actually done is taken all the posts, all the prompts, etc.
, from today, all the processes, along with a bunch of other processes that I came up with last week on how to use Notebook LM. You can see all these different SEO use cases right here. So, if you want to get more leads, traffic, or sales SEO, feel free to get my free SEO course with 200 ChatGPT prompts, workflows, SEO tools, and a community of 2,500 SEOs.
That's completely free and available for you to get; link in the comments description. You can see all the stuff you get—it's just outrageous! This is hundreds of hours of work, and I'm giving it to you for free just to help you.
So feel free to get that link in the comments description, then log in, go to free SEO tools, and if you scroll down, you'll find the video notes inside the Notebook LM section. Now, if you want to get a free SEO strategy session as well, feel free to get that link in the comments description. We'll show you how we take websites from 0 to 145,000 visits per month and generate thousands in sales on autopilot in this free link building acceleration session.
You get a free SEO domination plan, this secret of link building, and we'll answer any questions you have one-on-one. You'll learn the best link building strategy for your website, plus how to quickly outrank your competitors with link building and how to tenfold your traffic based on what's working for us right now. Normally, people are paying thousands of dollars for a consultant; we just give it away for free because we want to help you.
Feel free to get that link in the comments description. You can see all the people that we've helped along the way; hopefully, we can help you too. All right, cheers!
Bye-bye.
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