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By Sabrina Ortiz

Implementing AI is only half the battle, but a new report suggests it’s risky not to try. Just make sure you prep your employees first.

When generative artificial intelligence first burst upon the scene, the technology showed potential for making people’s everyday lives easier. Now, AI solutions have been developed to help enterprises optimize their operations, and here’s why you might want to consider using them in your business.

Pluralsight’s AI skills report surveyed 1,200 executives and IT professionals across the US and the UK to better understand how organizations deploy AI and its effects on businesses and their employees.

The report found that implementing AI in organizations had promising results, with 97% of organizations that have already deployed AI technologies benefiting. Moreover, 18% reported experiencing increased productivity and efficiency, 13% reported improved customer service and repetitive task reduction, and 11% said AI reduced business costs.

Pluralsights chart
Pluralsights 

Despite the benefits, 25% of these organizations said they don’t have plans to deploy AI, while 20% already have and 55% plan to. The hesitation stems from inadequate budget or talent required to use the new tools properly.

A majority of the professionals acknowledged that hesitation could be disastrous in the long run, with 94% of executives and 92% of IT professionals sharing that organizations investing in AI in the near future will be better able to compete, according to the report.

However, the lack of talent to properly use the new tools is an obstacle to the successful implementation of AI, and the report finds that the answer may lie in organizations helping upskill employees.

The report cites IDC research that found investments in skills and digital training of employees will be organizations’ most enduring technology investments in 2023 and 2024, even over investments in generative AI solutions.

Feature Image Credit: Getty Images/Andriy Onufriyenko

By Sabrina Ortiz

Sourced from ZDNET

By Will James

Ready for a masterclass on how to survive and thrive with an AI site in today’s Google?

Casey Botticello joins us on the podcast to share how he took an AI site from zero to $21k+ monthly in under a year.

To explain his approach, he dives into all sorts of interesting topics:

  • AI content production advice,
  • Careful niche selection when using AI,
  • Tips for avoiding the Google sandbox,
  • The importance of adding value and new information in the chosen niche,
  • His process of topical mapping,
  • Focusing on broad research,
  • Coupled with in-depth analysis to identify important topics,
  • And much more!

Casey shares that AI played a role in content ideation and the generation of article drafts, but how extensive editing and fact-checking were essential before publishing.

He highlights the importance of maintaining high-quality content and strategic planning to avoid appearing AI-generated.

As well as the increasing dangers of obvious optimization and over-reliance on popular keyword research tools.

There’s also a discussion on multimedia with some advice that seems to work even in an age where Reddit and other forums are seeing an advantage on Google.

Overall, this is an excellent and actionable look into how to successfully harness AI for blogging, and it’s a must-listen for the Niche Pursuits audience.

TOPICS CASEY BOTTICELLO COVERS

  • The types of niches that work best with AI
  • How he built his site with GPT 3.5
  • Avoiding overly-SEO targeted topics
  • Deep diving into a niche
  • Personalizing AI content
  • Topical mapping tips
  • The importance of original visuals
  • Important tips to speed up indexing
  • Topical authority
  • Avoiding over-optimization
  • Staying under the radar and scaling fast
  • Monetization
  • Setting goals
  • And more…

LINKS & RESOURCES

TRANSCRIPTION

Jared: All right, welcome back to the Niche Pursuits podcast. Today, we are, my name is Jared Bauman. Today, we’re joined by Casey Botticello. Casey, welcome on board.

Casey: Well, thanks so much for having me,

Jared: Jared. It’s great to have you. We are talking all about AI today, which is always a fun subject, especially as we venture into the new year here.

And I mean, I, you have such a cool case study that you’ve, you’ve published. And really, I mean, it’s my first time getting to talk to you, but you’re not exactly. A newbie here to the niche pursuits audience. You did a really good, uh, YouTube live with Spencer and I believe, you know, you’ve been a bit of a listener as well.

Um, uh, I’ll stop telling everyone about you. You tell us about yourself. Give us a little background on who you are.

Casey: Well, you’re right. I, I am a big fan of the Niche Pursuits podcast, so I’m an avid listener. But yeah, I think I’m, I’m active on a lot of, uh, the private forums and different discussion groups.

So I’m sure people have run into me before, but for those who haven’t, um, I’m Casey Botticello and, uh, for the past, I guess now about 10 years, I’ve been doing Digital marketing in some capacity. Really? I haven’t, I’ve done blogging for probably. Full time for the past five years or so basically It started off as a side hustle as it often does.

I Actually kind of got into it a little differently than most. I was a writer I I did sort of high end ghostwriting for clients at a lobbying PR firm Uh, I’m based in Washington DC, so that’s sort of, that’s why, you know, why I live here. So that’s sort of like how I came at it and I was very familiar with SEO, although we kind of referred to it as online reputation management, that was sort of the PR buzzword.

That’s

Jared: how you’re able to charge more for SEO, is what you call

Casey: it. I was going to say, no, you’re exactly right. Like I, people think SEOs are expensive, but you, you attach that three letter acronym to anything and you, you wouldn’t believe it. It’s like instant five figures for the fee. It is like, yeah. And which makes sense.

It’s. High profile people, their reputation. So I, I did have a fair amount of SEO experience. Um, and I was, uh, enjoyed writing. So of course, creating my own blog and sort of a portfolio of work with my name attached to it. Or at least just something I could show to people I thought was useful. Um, since most of my other writing was, like I said, I was sort of the ghost writer.

Um, so given that today’s topics all about AI, I, I have a deep respect for writers. Um, and I definitely think that AI is a tool meant to assist writers. This site that we’re talking about today, uh, it. It was generated pretty much using AI content exclusively on the first draft, but the content, to be clear, was edited by me.

So I, I, I want to add that disclaimer that this was not like a one click and then publish sort of AI get rich quick scheme or something like that. I, I spent a considerable amount of time, um, editing this, but I’ll let you get into

Jared: that. Well, and I’m glad you, cause we’re going to get into it. I’m going to ask you a couple of the tough questions on that.

I mean, we are going to be talking about a tool you used, which would be considered like a one click AI publishing tool. And so the clarity is good because I think a lot of people will come into hearing this was written by this tool or a tool IE. It means, oh, okay. And, and all the stereotypes will prevail.

Right? So coming at it from the front end of saying, yeah, we’re going to be talking about a tool. An AI writing tool, notice how I’m trying to build intrigue here, trying to keep them engaged and interested. We’re going to be talking about this tool, but I’m glad you had a clarity that we’re going to really get into how you use the tool beyond just what it spit

Casey: out.

Definitely. And like I said, it’s, it, it, it makes it. Big difference. I know some people say they edit and fact check, but as we’ll get into, there’s a fair amount of time spent doing this. So really this is just sort of blogging with sort of bionic superpowers. That’s how I think of it. It extends my ability to scale content production.

Jared: Modern blogging. Um, so let’s, um, let’s give people a little tease of what we’re talking about here. Now, you published a case study on the Koala Writer blog. So there it is. And then from there, we’re going to be talking about that site and that project. Maybe from a high level, just spend maybe one or two minutes telling us what the project is and if you can, any anything you’re comfortable sharing with where it’s at right now.

And again, really just to give people context into the scope of what we’re talking about. So then we can start unpacking how you did it.

Casey: Sure. So the site is. Uh, almost a year old now, so it’s a, still a relatively new site. Um, it generates, so it’s monetized through Mediavine. So it’s almost purely display ads as far as the, uh, income.

It generated 21, 700 some last month. So that was by far its highest month ever. And it’s been sort of climbing at a rapid pace ever since it was, I guess it was accepted in the Mediavine in mid May. So it’s been kind of, you know, the growth has been up and to the right, um, for sure. It’s obviously been kind of a crazy time with all these algorithm updates.

So I think that really, The case study, uh, does show that if you sort of focus on topical mapping and you focus on clustering the content in a very non SEO oriented way, but then go back and apply some basic SEO framework to the content, you can, you know, Basically scale a site really fast. Now I think these results aren’t typical.

I think, you know, it takes, uh, honestly, there’s a degree of luck in there, but I’ve launched several of these sites and while we’re only focused on this one, all of the sites have more or less survived. Pretty much all the updates since the helpful content update. So, and I’m talking 25 sites, so there, there might be something to that.

Uh, I don’t know if that’s enough data to draw that conclusion. But that’s where the site is today. It’s about this month. It’ll in December, it’ll probably do about 25 K or so if it continues. And that’s about 550, 000 sessions.

Jared: It’s so there’s so many interesting storylines there, right? Like just. Having a site that survived the HCU, I mean, I’m not going to say it’s rare, but it’s, it’s, it’s certainly an accomplishment, right?

At this point, the helpful content update has come through and really hit a lot of the sites that listeners have. And maybe it’s mild, maybe it’s 5, 10%, many, obviously it was crippling. You don’t just have a site that survived the HCU, it’s continued to thrive post. HCU and October core update, November core update, but not only does it thrive through all that, it is basically built entirely on the backbone of AI.

So, um, anyways, this is going to be such a fun, I’m worried we’re not going to get it all in, in the hour or so that we have. So, um, Hey, let’s start, let’s start at the beginning. And again, like, let’s try to keep this as tactically focused as possible, because every, I’m going to go ahead and just assume that everyone listening is either heavily utilizing AI.

Um, using AI in part of their workflow, but not all of it, or knows they need to going into the new year and the year’s coming. So they’re gonna be very interested in a lot of the tactics you use. Where did the concept for this come from? And, you know, what, what, what sort of AI were you, you know, using prior to this website that got you interested in using this?

Casey: So basically, as soon as I’ve been playing around with sort of the pre chat GPT tools like Jasper and stuff like that, um, in 2022, but I wasn’t really happy with any of them. I certainly wasn’t going to build an entire site based on them, but I was intrigued by sort of like the precursors and then like most people when chat GPT came out in late November.

Uh, I was, I immediately, especially as a writer, I was kind of confronted with the reality that, you know, AI can produce, and this is very niche specific, and a big part of this is niche selection, which I can go into, but, you know, for the right niche, AI can definitely produce at least a great first draft Or sort of subtopics or different sort of topical mapping structures that can really save you an enormous amount of time.

So, I immediately dove in. I began playing around with it. Uh, I, you know, was basically looking for I knew there’d be a good opening basically to, to try it. Now at first Google didn’t clarify their stance. So if you remember back in like January, it was sort of like almost considered black hat for a while, you know, before we really knew their stance.

And then come, so I, I started the case study in January and at first I just kind of shared it on a few of the forums I’m on, but it wasn’t. I didn’t even post it on my own site blogging guide. Like I didn’t start documenting it until February when, uh, Google made that update where they basically said, you know, AI, any content is okay, as long as it’s high quality.

So at that point, you know, it was sort of off to the races. Um, I still didn’t want to, I didn’t want the site to have any of the characteristics of an AI site. So I made a real effort to sort of hold back on not going wild with publishing. Um, I have all the likes, the specifics on my website and on that qual article of the number of posts, but I started off with first month with.

27 posts or 29, I believe. And basically these posts, again, I also wasn’t sure the effective AI’s basically I wrote these posts and, or I have a team of freelance writers who I outsourced this to. So the typical process you would go through for a niche site, but I made sure these first posts were really good and not just really good, but they were very much the sort of.

Helped Google Understand what the site was about and that was very deliberate So the site the site was a fresh. Well, it was a domain I had purchased Actually like a year prior to this and it was just a brand of a good brandable name So that the domain itself had no backlinks there never been a site as far as I could tell on the The built on the domain, you know, it had been listed for sale basically.

So it’s not

Jared: like a classic age domain. It was just a, you kind of had city. Had you published even like a landing page to it? Or was it

Casey: just, that’s a good point. And I I’m glad you asked that. So basically I do what I call like a shell site where I knew that basically I was going to be doing this AI experiment starting.

Maybe around November. So I, I, as soon as that was clear, I put up the legal pages, the homepage. Uh, supporting sort of pillar pages and if, and maybe like five blog posts that were generic enough that I wouldn’t have to scrap the whole site later, but were specific enough that Google could start, you know, understanding potentially what the site was about.

And I made very, a very deliberate effort to get that site indexed. And although there weren’t that many posts or pages. It was indexed, and I noticed that the, the crawling of the site seemed pretty good. I made sure the, the host, I put it on my top notch hosting. I had a fast theme. I stripped all plugins.

You know, I did it kind of textbook. And uh, that, that was how the site was left until I started publishing in January. I know for a fact that helped that helped definitely just it was indexed when I started publishing in January The the post didn’t index right away, but we’re talking only like a month or less delay so there was no like traditional sandbox period let’s say and so yeah, like If you’re going to do this in such a short period of time, that, that almost has to happen, you know, you have to really hit the ground running, um, otherwise you just mathematically can’t get to like, I mean, I was, I thought the goal was to get to Mediavine in a year.

That was, I thought, ambitious, uh, like starting from zero. So the fact that I did it in half that time and really. After I talked to Mediavine, they were like, cause I kind of was like updating them on my progress because I have other sites with them and they always throw around that often cited statistic that second sites don’t do as well as first sites, Casey.

And I was like, no, this one’s going to be like. A big one. And they were like, okay, and I literally updated them every month, of course, asking to make an exception and allow me in. And they said, no, in fact, I learned that your site actually, for most networks need to be at least four months old, including Mediavine, uh, to, to be accepted.

So the fact that it got in, In May, the fifth, five months in about as soon as possible. It was like six days after the

Jared: cutoff or whatever. Now you said that you, I mean, I don’t want to put words in your mouth, but it sounds like you hand wrote or had a handwriting process for the first, I think he said like 29 articles.

Then you moved into an AI assisted model after that. So the first 29 was just full bore on a traditional setup and publishing style that you would have used pre. Well, pre chat GPT,

Casey: basically. Yeah, I think ten were written by me, um, and they were like long form, sort of. Pillar posts, if you will. And then maybe 19 were done by the kind of experienced team of freelancers that I was currently working with.

Jared: Now, I don’t want to move on to fat. I have more questions, but before we move on from it, you did mention, I wrote it down that there’s a bit of a different process, I think you said to picking a niche when you are looking at using AI and, uh, maybe expand on that a bit. Like how did you select this niche in particular?

Or what about this niche do you think has caused it to be successful with an AI focused model?

Casey: That’s a good question. Um, and I’m still experimenting with that with the other sites. But the short answer of what I’ve kind of learned is that for a site to work, you know, you need to think about what the value add or like the information gain sort of is.

So if you can add perspective, if you can add original photos, if you can, you know, basically if there’s a human element. That you can incorporate that and the AI writing, at least can take care of sort of what amounts to, I don’t want to say fluff, but what amounts to sort of the body supporting content, almost like if you were doing an e commerce store, I think of it more like that, where you’d have product descriptions that are, you know, AI can write quickly and punchy copy that saves me a ton of time and money.

So the idea was to find something that. It was fact based, um, that was fairly evergreen. And as I later got into it, the other thing that became obvious, cause at first I wasn’t, Koala didn’t exist. Right. So it, it wasn’t even around at the beginning. I was literally using chat, GBT, and then like kind of manually assembling articles.

So it became clear later on though, that the key was finding topics. That were cost effective and had the highest ROI relative to the cost of AI content production. And so it costs different amounts depending on which GPT model you use. So my goal was actually, everyone was excited for GPT 4 and it’s better.

It’s great. And now I use 4. 5, the turbo, of course it’s even better, but the, this site was built almost entirely on 3. 5. And my best sites still are, and that’s like, kind of, that’s a real hidden gem there that I think people, you know, should take note of because the cost is about five times less. So if you’re out there competing with people, you know, there’s always the question of, well, how do you build a mode if you’re, everyone else can pump out this content.

In addition to adding your own unique images, insights, videos, all that stuff, another thing too is the, just the cost. You know, you can deter people when you can put up a thousand posts, you know, for, you know, 1 and they can do it for five, you know? So it’s, so you have to think about things that topically make sense, ideally things that you have some real expertise in.

And going back to your, I think your previous question, I picked this niche based on a, uh, topic. It was a tech topic and. Um, I basically had taken a few courses on this in college. So it wasn’t like my major or anything, but it was like a sort of like a passion or like interest of mine and the topic and part of why this grew so fast was the topic was well established, but like a lot of things with tech, you know, it’s undergoing quick, rapid change.

So the specific kind of angle I was covering. You know, was, was rapidly evolving. There were no sites dedicated purely to this sub niche. And this was like, like I said, the laser focus. I wrote out the map of the first 750 articles. Which I just finished actually, and I wrote that out about a year ago in, in December, I think, and I Stuck to that and I had to try really hard, Jared, not to Deviate when I would find ones where the, it was clearly keyword search volume But the whole idea behind this was to avoid anything that would appear SEO overly SEO driven and Although I didn’t know it at the time that would also come back and save me probably during all these helpful content updates because This was like the least SEO oriented site I’ve ever done.

And I’ve had very successful ones that are SEO driven and long tail keywords and all that. This was the exact opposite. I mapped every article before I had even.

Jared: Well, that was going to be my second question because you talked earlier about how AI contributed to both your niche selection, but also your, also your topical mapping.

I think maybe a traditional SEO approach outside of this AI model that we’re about to talk with that you went into would be go to a keyword research tool and start with a seed keyword. You know, maybe I’m not, I don’t even know what your site is about for the record. But let’s say you mentioned text, let’s say iPhone, right?

So you go into a keyword research tool and you would type iPhone in and you start parsing through and building out the main topics, the subtopics, the long tail topics, the questions, the answers, the comparisons, the reviews, the buyer guides, the how to’s, all this, and maybe create a topical map that way.

If that was something you even wanted to do before you started a website, right? Like, what does it look like to build a topical map in an AI world that isn’t SEO driven? I think,

Casey: well, a lot of people, unfortunately, are still using it the same way. But if the way I did it, and I think the way I recommend to people, um, and I have a, a post I recently added.

Just to give a little more insight if people want to look at on blogging guide just on if you just google topical mapping I’m sure it’ll come up but Basically, the idea is that instead of starting with the keyword research tools You start in a very broad research phase where you don’t use a single keyword research tool You totally ignore volume.

This does require you knowing your niche because you have to Pick something that’s laser focused while also knowing intuitively that there’s enough traffic for whatever You’re trying to accomplish in my case. I was saying okay if I can win, you know half of these 750 articles it are there 50, 000 sessions because that that was just the media vine cutoff so that was sort of And then from there, I basically on a whiteboard at first, but later just in like a notion would basically write down article ideas after thoroughly investigating the subject.

And I mean, everything from manually Google searching. every possible sort of query to pot scraping podcast transcripts for things that maybe weren’t indexed but were valuable info, to watching YouTube videos. I joined a private forum related to this niche. I actually went to an event Um, related to it.

So like I actually talked to people and that, uh, I joined even a few webinars. So the goal was to get, you know, a real tight, you know, sort of feel for like what people actually cared about and what they were talking about and kind of where things were headed. Cause I knew that I didn’t have a chance to outrank the large tech incumbents that were had broadly covered.

Some of these like shoulder niches, but I knew if I stayed in this very narrow lane that, uh, and people are not covering these topics and When I would later spot check them in hrefs or whatever They would be a lot of them would be zero You know search keywords So it was a classic case of like, you know If you were just going through looking for search volume, this would never have registered.

But, you know, if you knew anything about the niche, and even with just a little bit of common sense, You could be like, okay, the tools are not picking this up, which is fantastic because less people are going to be going after this, but also less people are going to understand the strategy of the site. Um, so I basically didn’t put ads on the site until I got to Mediavine.

So I think from both the user experience perspective, but also just strategically. I knew this site, if it was going to grow fast, it needed to stay under the radar on Ahrefs or not appear on one of those Twitter lists. Where someone’s showing like low, you know, low DR, high trap, you know, so the goal was like, yeah, basically to stay off the radar and do this as fast as possible without it appearing AI generated.

So I tended to stick to like 20 to 80 posts a month. And these were posts that, like I said, I heavily edited manually. So a

Jared: lot of that. Because you came up with 750 articles to write, and a lot of what you just described sounds very manual. Where did AI play a role in that or did it?

Casey: It, it, so AI played a big role in, after I collected the research, the content sort of ideation phase, I, you know, and maybe it’s partially biased because this was a tech niche, but it did a great job coming up with all these sort of questions and perspectives.

Uh, that allowed me to write about a topic is not like, that would appear as maybe a people also ask sort of query, but that, uh, it, it really was, my article would be more sort of focused on, like I said, the perspective or some very like granular or. Part of that question, I would indirectly answer it. And the bet I was making was that, you know, basically Google at some point, I figured was going to destroy some of these sites that were just.

regurgitating people also ask and suggested questions and all that. And so this was meant to be actually, even though it was AI built, uh, very high quality. Um, so the, the, as far as how I used AI. Besides content ideation, I literally wrote every, other than the first 29 articles, I used Koala for the other, you know, 700 some, and, uh, yeah, I, I would, there was a lot of tinkering and perfecting my settings and getting that right, but I didn’t focus on that too much because I’m just using Um, Quala advertises itself as a one click publishing tool.

However, if you actually read anything about it, there’s, it very quickly, you know, explains that’s not the best use case. The best use case for this is to, you know, basically generate a draft and then go in and fact check, edit, link, you know, kind of do all the things you’d normally do. And so. I think at the beginning I probably spent two to three hours editing an article, uh, just out of like an abundance of caution and Like kind of really wanting to get this right.

Uh, but toward the end, like in this last month here, I got the process down to probably like more like an hour per article, maybe a little under. So it wasn’t like a one click and then publish model. We’re still talking, you know, like I said, it’s, you know. 80 to 100, you know, hours. And this was like a substantial part time job.

Um, at least at times it was more like almost like a full time job. So now the, the advantage though, was of course. I was only spending about two to three dollars an article to produce these, uh, not counting my time, which isn’t nothing, but still it was allowed me to basically make this just a really profitable and just kind of, yeah, scalable process.

Jared: Let’s move into content production. I’m looking at what you published over at the koala case study. I mean, yeah, I think a lot of people, I think it’d be good for people to hear like, this isn’t one of these, you know, press a button, 5, 000 articles go live on the site. We’re off to the races, right? I’m looking at like January 29 articles, which you talked about handwritten February 21, March 85, April one 20 may back down to 30, June 25, July 30, August 47.

And then now we see September 130, October 112. So certainly. More than you could publish, um, if you were what, not more, but more than you could publish usually as a single operator of a website, but not crazy flood the internet with five, 10, 000 pages. So definitely in the lower end of what many might expect to hear.

So let’s get into the process of what heavily edited content looks like. Like, how do you. Um, how did you utilize KoalaWriter? Perhaps maybe we should start there and just some tips for people who are struggling to get results out of KoalaWriter they feel are even capable of publishing.

Casey: So for starters, the, if the easiest route is to use there, when I started there, GPT 4 wasn’t available and 5.

Now you can use both of those. So the, those. Those large language models are much better, and they do produce, like, on the first try, much better content. So if you’re just starting, or you’re struggling, sort of, with getting the first draft right, you might have a more complex niche that does require, uh, using one of those.

And to those people, I’d say, don’t, don’t get hung up on my strategy of really trying to drive the cost down by using 3. 5. Just Go with the, the, the, at the beginning, go with some of these, you know, higher caliber models, see if that affects the output and. Because a lot of people try to do what I did. They start with the cheaper one.

Um, I would say like, you know, unless you’re literally going to be doing 10, 000 posts or something, you know, the cost is still low enough that, that really shouldn’t be an issue. Uh, so there’s that like start with the right, the right version of these AI systems. The other thing is. Adjust the tone depending on your content.

Koala basically has different, um, personas sort of, or like writing voices that you can choose. Like the default is SEO optimized, right? So don’t pick that. I’ll, I’ll just, it’s nothing wrong with it, but just don’t pick that. It’s in a

Jared: post HCU world. Don’t pick that. Yeah,

Casey: no, I mean, I thought that was obvious even in a year ago, but yeah, like.

There’s no, it quality is a great, everything is already SEO optimized, like within reason. So don’t worry about that. You know, I choose professional if it’s like, you know, if I was talking about like kind of trying to basically, yeah, sound more like I’m giving like sort of a. A talk on like, maybe like a SAS product or like something like that.

But I actually like to use the friendly setting, which sounds kind of stupid. Like you’re like, and it does generate some weird titles when you do that. Like it’ll ignore that though. You’re, you’re going to have to rewrite the titles. So, but the titles will be like, I don’t know, like, you know, they insert weird, like kind of kinder language, but the actual article.

It’s basically a slightly more down to earth and it’s sort of more explanatory. Like I, my articles included a lot of tutorials and a lot of just me walking people through the process and I included screenshots and. And custom images of like products and infographics. So I wanted it to be clear. So that’s kind of where I arrived at that.

The other thing I would say is, uh, when I started, it didn’t have this internal linking system, but in the last like month here, the thing that I struggled the most with has been solved. So you can basically like it maps your site. And as you add new articles, basically. It does the internal linking automatically.

So that’s kind of like the greatest feature right now, I think, and I, I don’t know why more people aren’t using that, but it, it does not go overboard. It, it very sort of judiciously, like if it makes sense, it uses it. But, um, I had to do a lot of that manually. And that was a big part of why my time per article dropped in the latter part of the year, because I, I right there, I didn’t have to do any.

internal linking, it would do plenty for me. So the other thing too, is that you have to recognize, and this is true of all AI writers, AI writing tools, you need to basically make sure that you’re removing. Sort of the fluff and Koala is no exception. There’s a couple key phrases that if you start to use it enough, you’ll recognize and That to me was like a pretty obvious red flag.

They’re almost always transition sentences between sections and paragraphs Lots of like, you know, um, you know, in summary, like, like, but in conclusion, yeah, but doing weight, like doing that sort of on a micro level, like over and over and a lot of like, sort of even flowery kind of language in some of the.

So basically I would say you should plan on rewriting like kind of each section, intro and conclusion. The subheadings are usually done perfectly fine, but you might have to adjust like a word or two. Again, the title should be completely, that, that should not be left up to Koala. That should be either you, or you can use chat GPT for that to help.

It’s actually pretty good at that. And I also use chat GPT for like the meta descriptions. That’s been like a big time saver. I used to spend so much time, like I, I’m big on on page SEO. So like everything needs to be dialed in and I, if I don’t have the right meta description, I don’t publish, but now with chat GPT, you know, an easy prompt you can use is, you know, please write me a meta description for the following blog posts based on the titles that are between 130 and like 160 pages.

Characters, including spaces. I have some command macro to my keyboard like that. And I basically just do that and it’ll actually iterate and automatically give you like five to 10, um, just by entering that. And I would say, start with those. And again, edit that, you know, use that for the article, you know, you have to use all these things.

Both to save time, but also to improve the quality. If it’s not improving the, the quality, I don’t think there’s really much purpose in using the AI tool because eventually, you know, Google SGE is going to come and it’s going to, it’s going to take, you know, sort of your limited text, low quality responses.

You still need, like I said, I’m very big on original images. Uh, I, I don’t think I have a single blog where I haven’t done either like extensive branded infographics or I haven’t done like, you know, I’m sort of like an amateur photographer and I’ll, you know, go out and I love taking pictures. So that, that’s like an easy.

A very easy way that you can set your content apart and it just looks a lot more natural. And like I said, you’re not relying on the text so heavily. Uh, the other thing too is AI can run a little long, so I would always add prompts manually in any tool, but including Koala to basically say paragraphs should be no longer than three sentences.

Sentences should be no longer than, I forget how many words I have it set up, but a few basic parameters like that go a long way. Um, and it’ll depend on your niche. I, I’ve been doing this with other sites and. Some sites, it just works really well with like some sites, it clearly was trained on like, you know, it got into those like, you know, Reddit forums and it like is pulling real actionable insights on others.

It’s, it’s really pretty high level generic fluff. So the key is, in my mind, you have to be able to give it a very specific topic. Um, and so what I enter for the article title or prompt is usually, that’s why I spend a lot of time mapping it out. I need to think, okay, first, what’s the actual topic that I’m trying to cover?

And then the last step after ideation is basically for me to translate it into a SEO friendly title, not just for the reader, for the AI tool to even write the article. Because if The tool may not actually do a very good job, um, writing the article if it doesn’t understand sort of the nuance of what you’re trying to get at.

So I, I basically give it a long title.

Jared: Let’s talk. Once you get the article out of Koala, you talk about the extensive amount of editing that goes into this. So what does that look like? Because for a lot of people, I mean, you’ve already touched a little bit on it. So. I mean, just read back a few of the things that you’ve said, um, shortening the sentence structure of the paragraphs because of the, the run ons and the, the fluff, um, uh, you know, kind of modifying the titles, uh, perhaps not the headers as much, but like, what else goes into heavily editing, um, these types of con, these types of articles that come back, like, what are people needing to look for?

Casey: I think that people need to add, there needs to be some, it doesn’t have to be a lot in terms of words, but it, there does need to be like. Maybe let’s say if you’re writing like a 1500 word article, I would say ballpark two to 300 words of like real sort of actionable insight. Like, and that might be, I think it’s important.

To front load that are sort of positioned at the beginning of the article. Um, again, Google’s sort of moving away from, you know, these long articles that are designed for ads where you have to scroll through and maximize impressions. So it’s, it’s definitely key that. You know, get the human insight in there, and it should be like clear that this was written by a human, uh, it’s not whether it’s human insight per se, it’s just, it should be original if, if there should not be another article with that paragraph, if you run it through copy scape should come up as 100 percent original, it shouldn’t be like, you know, a rewording of someone else’s content, like you need to actually be.

Right. add some value. And if, if you’re a subject matter expert at all, that’s easy to do. If you’re

Jared: not, what kind of value do you mean? Like, are you, you know, um, how do you find something to add a value that hasn’t been surfaced or wouldn’t show up in copy scape?

Casey: So the, a lot of times, like the best examples I like to give her with like tutorials, they’re really actually a great way.

So, uh, Koala can do a good job with like outlining the steps, but unless you’ve actually used like a software product, Koalas and all AI tools are limited to scraping basically. The like user documentation, uh, that like a piece of software has out there. So like, if you were talking about how to take like the perfect picture, like with.

DSLR cameras or something you, yes, it could sort of scrape the steps and do that perfectly. But in there, you need to be adding your own insight explaining like, okay, this article is about urban exploration and the sort of, and how to get like this amazing photo for your Instagram. So the. Basically, you need to figure out what your audience is really looking for.

And the answers to something like that is probably like, they want to know, not just how to do it, but what is the right, like, low light setting or, you know, something that is relevant to whatever you’re writing about in that article. But I pick urban exploring because I’m big into that. And basically, like, I’ve read through, like, photography tutorials.

And yeah, you can be the best photographer or teacher in the world, but if you haven’t, if you’re not writing to the hyper specific sort of user, then if you don’t have that persona in mind, then you, you probably miss sort of, you’ll rank, but you’ll miss all those people that actually care about, you know, the quality of the content.

And to them, that’s for half the people that read the article, that’s probably all they really care about. Yeah. Some people are looking for how to set up and navigate to this mode and adjust this setting. But most are really probably looking for something different. And they basically. Don’t know how to type that in 20 words or less because it’s, they don’t even know the term for it, so yeah, you need to focus on really, I think having like this sort of persona of your audience and, and that’s why you do have to pick a niche that you’re.

At least somewhat familiar with ideally pretty experienced with if you’re not, you need to be willing to learn. And like I said, that research process might be vastly longer, I think, um, for you. Yeah. So

Jared: beyond the text that goes on the page for this website, maybe just Give us a punch list of additional things that are going into it beyond Koala.

You mentioned photos, like unique photos. You mentioned, uh, insights, whether they’re expert insights or just your own insights. Like what other things, maybe just a punch list of things on the top of your head that you’re adding after Koala.

Casey: I’m adding a custom featured image for every article. That’s.

given, I consider that more important than the title, to be honest, like Google, you know, we’ll replace text, but like the, the images right now. And if you want that, you know, featured snippet, like if you have a great featured image, you know, that’s a great way to get to win those. Like, especially if you then do custom images.

Let’s say you are doing a tutorial, if you do that for each step, and when I say custom images, I mean, it could literally be a screenshot, but like I was helping somebody with a site recently, and they were doing these great tech tutorials, but like, I was like, you know, run this against like a reverse Google image search.

Okay, there’s like, you are doing this, and this is an original, like, it’s your account, you know, I can see all that. But like, it looks like all the others and it, Google recognizes as that. And I’m like, create a custom border. It doesn’t take that much time to figure out how to do that or outsource that to somebody.

You’re saving all this money on writers. So you can spend a little on graphic design and add annotations, add colorful boxes. You know, the photo itself, just like the text should come up with basically no results or only your results when you run it through at the end. So I’d say the featured image should be its own style.

Each, you know, and it doesn’t have to be steps. If you’re, if you’re doing something more generic, you can just sort of have like, you know, find like some vector images. of a certain style, uh, and basically reuse those same characters, but in unique ways over and over. And that’s a great way to both build sort of a brand and some sort of continuity while also like, like I’m always shocked how many people don’t do that.

And I rank for a lot of image searches, even though this isn’t inherently visual, uh, Niche. So that’s why it’s, it’s interesting. And of course if you’re doing a product in there at all, even if you’re not like reviewing a product, I think having the original photos best, does that mean you even need to buy everything?

I don’t think so. I, I think like, honestly, like the smartest people doing this right now. I saw a site the other day that I recognized as like AI written, but with really good images and it was going after sort of the most competitive niche mattresses and this person, like what I think happened was they basically.

Probably paid somebody who has a mattress store like to have the to rent the place for like a day Because they clearly or or there was they just weren’t paying attention, but somebody was running around And they even changed outfits and things but I could tell based on like Kind of the, when I really looked in the background, I was like, no, this is all one big, like a continuous shoot.

You can even see the daylight sort of fading throughout the day. So this wasn’t their mattress lab. This wasn’t, you know, uh, like they didn’t buy a million dollars worth of mattresses. You might have to get creative, like, if you don’t have a niche where you already physically have the products. But, I mean, these are just, you know, you gotta get creative, and that’s one way I’ve seen people do it.

Jared: I mean, it’s clear this site had a pretty meteoric growth trajectory, you know? It was qualified for Mediavine within, in month five. It’s gone on, you know, it should make somewhere around 25 grand this month, and it’s 12th month of existence. Like This is an impossible question, but I just want to give you a nice big high level question to see where you go with it.

Like, what are the things that are causing this site to succeed, especially in this world where this type of blog approach by and large for a lot of people isn’t working as well as it used to, right? And that’s not meaning that it’s the sunset of these types of sites, but it just means that in this current state in time.

With a lot of the updates that have come around, a lot of people aren’t succeeding with this. You’re succeeding with that on a very new site using kind of an AI driven model. So if you look at these things, I know you have these kinds of perspectives because of your history in this space. Like what are, what, what are the things you think that are causing or driving this success?

Casey: Obviously, yeah, the million dollar question. I think though there actually are a few answers though. And mainly because I’ve since launched like 10 other similar sites. And based on the data, I can tell you a few things first. Like if you have something that’s overly SEO optimized, there’s no question.

It’s more susceptible to updates. I had sites that were making a lot and. A site that in particular I bought actually right before the helpful content update that got nailed. So I hadn’t written any of that content, but it was already on Raptive. It was doing well and it got obliterated. So like I did a deep dive of that one and I don’t think even before I looked at it, I realized how kind of gratuitously SEO optimized it was.

There was a lot of keyword stuffing, you know, articles. We’re clearly just chasing long tail queries. Like if, if I were to like arrive at this site as a user and enter into the search bar, like a related question I would have, I still wouldn’t come up with the right answer. Like it wouldn’t show me like I hadn’t covered, they hadn’t covered the topic completely.

So, whereas mine now that’s, that’s kind of the goal is. Uh, you know, I, it, not in a strict sense, but I think topical authority and sort of just covering the topic, uh, is, is kind of critical because if you do that and there, and you manage to find a niche that’s slightly underserved, you know, you can, Google kind of doesn’t have a choice to rank you like, I don’t think.

This content is unbeatable. Um, but I do think that there, there is no substitute. So Google keeps just, you know, they have to rank it. You know, it’s the only thing even answering like in an authentic way, the question, the rest are like, and to be clear, cause I know a lot of people will be like, well, what about user generated content and read it?

This is a niche that actually is very. Like heavy on that and I I do lose sometimes to like a reddit post every now and then like I’ve noticed that like but nine out of ten times I still win, so I Read it in court. They’re not you know, like I said, that’s where the visual comes in I think a reddit post almost never has It doesn’t, you know, if it has a video, it’s not an original video, it’s, you know, just reposting something same with Quora.

So that’s why I would say that you need to be adding those, those extra elements. They’re not even just human elements, but sort of like just, you know, multimedia elements. Infographics are one of the best things that I’ve probably added to the site. And I have some of those that get an okay amount of social traffic, but almost all the traffic is still, you know, organic search.

Click HERE to read remainder of the article.

By Will James

Sourced from NichePursuits

In the dynamic realm of AI, crafting effective prompts is pivotal for success. Matt Wolfe, an AI reporter and analyst, stresses the importance of specificity and goal-oriented prompts. For instance, transforming a generic request into a refined prompt involves defining clear intentions, considering context and persona, and envisioning the desired output. A concrete illustration of this approach involves upgrading a generic prompt for a blog post into a detailed, AI-ready masterpiece.

Developing an AI workflow

Once mastered, AI prompts open the door to a transformative workflow. A day in the life of an AI-enabled marketer involves leveraging AI at various stages, from summarizing performance metrics and generating email subject lines to organizing customer feedback and developing blog post titles. The integration of AI-driven audience segmentation and retrieval augmented generation (RAG) techniques can lead to significant improvements, as demonstrated by a 38% lift in click-through rates achieved through AI-personalized email campaigns.

Testing AI tools

HubSpot’s AI Marketing Report reveals a notable increase in the adoption of AI and automation among marketers. Dharmesh Shah, HubSpot’s CTO, emphasizes the rapid evolution of AI and encourages marketers to test its capabilities. With breakthroughs like web-browsing capabilities in ChatGPT, marketers are advised to explore a variety of AI tools tailored to their specific challenges. Matt Wolfe recommends tools like Conveyor for chatbot latency reduction and image generation tools like Leonardo and Kaiber for creative assets.

AI integration across marketing workflows

AI has proven to be a valuable contributor across marketing workflows, exemplified by HubSpot’s AI-powered content assistant streamlining creative processes. Ramon Berrios from DTC Pod integrates AI extensively in marketing tasks, showcasing its versatility in newsletter production, podcast automation, social media management, and content creation. However, it’s crucial to note that AI should complement, not replace, human creativity, as high-quality and engaging content remains the cornerstone of marketing success.

Identifying AI-generated content

As AI-generated content becomes more prevalent, marketers must discern between quality and spam. Key indicators include the content’s originality, insightfulness, and alignment with the brand’s voice. The article stresses the enduring importance of high-quality content, emphasizing that engaging and captivating material will always prevail. As AI evolves, marketers will need to identify tasks best suited for AI while maintaining a human touch in areas requiring creativity and authenticity.

Ensuring brand safety

With the integration of AI, brand safety becomes paramount. Transparent communication and the ethical use of AI are essential to preventing unintended consequences. Privacy concerns are addressed by HubSpot through clear terms and conditions for data import. Marketers are urged to be cautious about data security and aligning AI usage with brand values. Transparent communication within the organization is crucial when using multiple AI platforms with distinct models.

Integrating AI intentionally

While AI presents significant opportunities, there are inherent risks that marketers must navigate cautiously. The article outlines five AI no-go’s, including gathering data without consent, having unrealistic expectations, using AI tools with unclean data, neglecting source verification, and ignoring ethical considerations. The emphasis is on specificity, purpose, and ethical data use, as these principles are foundational to HubSpot’s AI strategy.

The human touch in AI

Despite AI’s advancements, it remains a work in progress, subject to biases and limitations. The article concludes by highlighting the importance of humanity in marketing. Kipp Bodnar, CMO at HubSpot, emphasizes the need for a real point of view in marketing, rooted in belief and humanity. The key to winning with AI is strategic, intentional, and vigilant use, amplifying human potential rather than overshadowing it.

In the rapidly evolving landscape of AI marketing, these seven must-know tips from HubSpot’s AIMS team provide a comprehensive guide to navigating the complexities, ensuring marketers make the most of AI while upholding brand values and delivering meaningful experiences

Disclaimer. The information provided is not trading advice. Cryptopolitan.com holds no liability for any investments made based on the information provided on this page. We strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions.

Derrick is a freelance writer with an interest in blockchain and cryptocurrency. He works mostly on crypto projects’ problems and solutions, offering a market outlook for investments. He applies his analytical talents to theses.

Sourced from Cryptopolitan

By David Nield

Generate your own text—but get help from the AI bot to make it stand out.

It’s been quite a year for ChatGPT, with the large language model (LLM) now taking exams, churning out content, searching the web, writing code, and more. The AI chatbot can produce its own stories, though whether they’re any good is another matter.

If you’re in any way involved in the business of writing, then tools like ChatGPT have the potential to complete up-end the way you work—but at this stage, it’s not inevitable that journalists, authors, and copywriters will be replaced by generative AI bots.

What we can say with certainty is that ChatGPT is a reliable writing assistant, provided you use it in the right way. If you have to put words in order as part of your job, here’s how ChatGPT might be able to take your writing to the next level—at least until it replaces you, anyway.

Find the Right Word

Using a thesaurus as a writer isn’t particularly frowned on; using ChatGPT to come up with the right word or phrase shouldn’t be either. You can use the bot to look for variations on a particular word, or get even more specific and say you want alternatives that are less or more formal, longer or shorter, and so on.

Where ChatGPT really comes in handy is when you’re reaching for a word and you’re not even sure it exists: Ask about “a word that means a sense of melancholy but in particular one that comes and goes and doesn’t seem to have a single cause” and you’ll get back “ennui” as a suggestion (or at least we did).

If you have characters talking, you might even ask about words or phrases that would typically be said by someone from a particular region, of a particular age, or with particular character traits. This being ChatGPT, you can always ask for more suggestions.

Screenshot of ChatGPT in a browser window

ChatGPT is never short of ideas. OpenAI via David Nield

Find Inspiration

Whatever you might think about the quality and character of ChatGPT’s prose, it’s hard to deny that it’s quite good at coming up with ideas. If your powers of imagination have hit a wall then you can turn to ChatGPT for some inspiration about plot points, character motivations, the settings of scenes, and so on.

This can be anything from the broad to the detailed. Maybe you need ideas about what to write a novel or an article about—where it’s set, what the context is, and what the theme is. If you’re a short story writer, perhaps you could challenge yourself to write five tales inspired by ideas from ChatGPT.

Alternatively, you might need inspiration for something very precise, whether that’s what happens next in a scene or how to summarize an essay. At whatever point in the process you get writer’s block, then ChatGPT might be one way of working through it.

Do Research

Writing is often about a lot more than putting words down in order. You’ll regularly have to look up facts, figures, trends, history, and more to make sure that everything is accurate (unless your next literary work is entirely inside a fantasy world that you’re imagining yourself).

ChatGPT can sometimes have the edge over conventional search engines when it comes to knowing what food people might have eaten in a certain year in a certain part of the world, or what the procedure is for a particular type of crime. Whereas Google might give you SEO-packed spam sites with conflicting answers, ChatGPT will actually return something coherent.

That said, we know that LLMs have a tendency to “hallucinate” and present inaccurate information—so you should always double-check what ChatGPT tells you with a second source to make sure you’re not getting something wildly wrong.

Choose Character and Place Names

Getting fictional character and place names right can be a challenge, especially when they’re important to the plot. A name has to have the right vibe and the right connotations, and if you get it wrong it really sticks out on the page.

ChatGPT can come up with an unlimited number of names for people and places in your next work of fiction, and it can be a lot of fun playing around with this too. The more detail you give about a person or a place, the better—maybe you want a name that really reflects a character trait for example, or a geographical feature.

The elements of human creation and curation aren’t really replaced, because you’re still weighing up which names work and which don’t, and picking the right one—but getting ChatGPT on the job can save you a lot of brainstorming time.

Screenshot of ChatGPT in a browser window

Get your names right with ChatGPT. OpenAI via David Nield

Review Your Work

With a bit of cutting and pasting, you can quickly get ChatGPT to review your writing as well: It’ll attempt to tell you if there’s anything that doesn’t make sense, if your sentences are too long, or if your prose is too lengthy.

From spotting spelling and grammar mistakes to recognizing a tone that’s too formal, ChatGPT has plenty to offer as an editor and critic. Just remember that this is an LLM, after all, and it doesn’t actually “know” anything—try to keep a reasonable balance between accepting ChatGPT’s suggestions and giving it too much control.

If you’re sharing your work with ChatGPT, you can also ask it for better ways to phrase something, or suggestions on how to change the tone—though this gets into the area of having the bot actually do your writing for you, which all genuine writers would want to avoid.

Feature Image Credit: PM Images /Getty Images

By David Nield

David Nield is a tech journalist from Manchester in the UK, who has been writing about apps and gadgets for more than two decades. You can follow him on Twitter.

Sourced from WIRED

By Anant Jhingran and Matt Roberts

A look at how an integration layer completes AI applications and how integrations can be done better with the help of AI.

AI is reshaping the enterprise landscape. Already, developer productivity, digital labour, email marketing, website creation, etc., seem ripe for a major transformation. It is also well understood that general AI foundation models like GPT4 and Falcon-40B need to be fine-tuned or prompt-tuned for enterprise-specific tasks, and therefore must be fed some curated data that allows for some subset of the parameters to be “adjusted,” or output changed based on new task information given in prompts.

However, training the models is one thing. Enterprise applications today live and die on access to current enterprise data. For example, an e-commerce website might return the status of the orders of a logged-in customer. Or a chat application might process the return of a product. In neither of these cases can anything useful be done without real connectivity to ( integration with) one or more enterprise applications. First, we’ll speak to how an integration layer completes AI applications.

In addition, these integrations do not magically appear. They have to be coded, and they have to be tested and maintained. Later, we’ll speak to how integrations can be done better with the help of AI.

AI Without Integration is Incomplete

How would an AI application return useful information? AI without integration is like fish without water.

Feature Image Credit: Shutterstock. 

By Anant Jhingran and Matt Roberts

Sourced from THENEWSTACK

 

 

By Miranda Nazzaro

Media titan Barry Diller confirmed Sunday he and a group of “leading publishers” plan to take legal action regarding the use of published works in training artificial intelligence (AI) systems.

Diller, the chairman and senior executive of internet and media conglomerate IAC, said he thinks generative AI is “overhyped, as all revolutions that are in the very beginning,” in an interview Sunday morning with CBS’s Margaret Brennan on “Face the Nation.”

AI systems are trained and improved using large language models, which ingest compilations of written works like books, news stories and social media posts.

Diller said he and others in the publishing industry don’t agree with how AI systems take in publishers’ content.

“It’s not that either Google or Microsoft, who are the two real leaders of this in terms of, certainly Google with having a monopoly on advertising. They, too, want to find a solution for publishers,” Diller told Brennan. “The problem is they also say that the fair use doctrine of copyright law allows them to suck up all this stuff.”

“It is, it will be, long-term catastrophic if there is not a business model that allows people professionally to produce content,” Diller continued. “That would be, I think everybody agrees is catastrophic.”

Diller claimed legislation or litigation is needed to protect the copyright of publishers.

“Of course, say we’re open to commercial agreements. But on the side of those people who are depending upon advertising, Google, for instance, they say, ‘Yes, we’ll give you a revenue share,’” Diller said. “Right now, the revenue share is zero. So, what percent of zero would you like today? I mean that’s rational, but it’s not the point. The only way you get to the point is protect fair use. In other words, protect the copyright.”

Diller would not disclose or confirm who is he planning to launch litigation with, only calling them “leading publishers.”

“It took 15 years to get back paywalls that protected publishers, I don’t think that same thing is going to happen,” Diller said.

When asked if generative AI poses a threat to Hollywood studio workers’ jobs, Diller said, “In this case, I think the one-to-three-year period, not much is going to happen. But post that, there are, of course, all these issues.”

Diller is not the first to consider legal action over AI publishing. Comedian Sarah Silverman and two other authors are currently suing Meta and OpenAI for alleged copyright infringement, claiming the platforms’ AI systems were “knowingly and secretly trained” with unauthorized copies of their books.

The Associated Press announced last week it would license its archive of news stories to ChatGPT maker OpenAI to help train the AI company’s system.

Feature Image Credit: (AP Photo/Kathy Willens)

By Miranda Nazzaro

Sourced from The Hill

AI character generators are AI tools that use artificial intelligence to create fictional characters for all kinds of different purposes.

They help to streamline the creative processes by rapidly producing diverse and detailed characters, benefiting writers, game developers, and artists. Beyond character creation, AI‘s role in creative industries is expanding, from generating music and art to aiding story writing.

On top of that, AI-driven human-computer interaction is growing, evident in virtual assistants and AI chatbots. As AI continues to evolve, it becomes an indispensable collaborator, enhancing creativity and interaction across multiple domains, reshaping how humans engage with technology.

What is an AI character generator?

Put simply, an AI character generator is a computer program that uses artificial intelligence to create fictional characters.

It employs algorithms and data to design characters’ appearances, personalities, backgrounds, and even stories. By analysing vast amounts of existing character data, AI generates new and unique characters, saving time for writers, game developers, and other creators.

These tools streamline the creative process by offering a variety of options and details that can inspire and enhance storytelling, game design, and other creative endeavours. They are a testament to AI’s ability to assist and augment human creativity in various industries.

3 of the most popular AI character generators today

Now that we know what an AI character generator is, let’s explore some of the most popular tools available in 2023.

Toolsaday

Toolsaday’s AI character generator is a cutting-edge tool designed for writers, game developers, and creative enthusiasts seeking to craft compelling characters for their projects.

The generator streamlines character creation through an intuitive interface and unique features, including seamless character generation, in-depth character profiles, dynamic personalities, interactive plot integration, and AI-generated images from text.

The latter feature, the AI-Character Image Generator, produces lifelike visuals based on character descriptions, enhancing visual storytelling across various mediums. Toolsaday empowers users to unleash their creativity by providing a comprehensive platform for character development and visualization.

Pros:

  • Streamlines character creation for writers, game developers, and creative enthusiasts.
  • Offers seamless character generation with customizable traits and backstories.
  • Creates intricate and lifelike personalities using advanced algorithms.
  • Facilitates interactive plot integration, suggesting plot twists and character arcs.
  • User-friendly interface for easy navigation and efficient workflow.
  • AI-Character Image Generator produces detailed and realistic visuals for characters.
  • Vast customization options for character images, enhancing visual representation.
  • Integration of generated images into storyboards, proposals, and marketing materials.
  • Sparks new ideas through visualizing characters, inspiring unexpected plot developments.
  • Sign-up provides access to both character generation and AI-generated images.

Cons:

  • May have limitations in generating highly specific or unique character traits.
  • AI-generated character images might not always perfectly match the envisioned appearance.
  • Potential dependence on the tool for character creation, limiting personal creative exploration.

 

VEED.io

Discover limitless creative potential with VEED.io’s AI character generator, a groundbreaking tool for professionals and content creators.

By inputting simple text, users can harness the power of AI to craft customized characters that cater to branding, marketing, and various creative endeavours. From crafting cartoon personas to designing gaming avatars and 3D models, VEED’s AI technology produces captivating characters that resonate with audiences.

Elevate storytelling videos, marketing campaigns, and social media content through distinct and attention-grabbing characters. Further enhance your creations with VEED’s AI video editing tools, enabling the production of engaging teasers, explainer videos, and more. VEED.io empowers creativity while simplifying the character generation process.

Pros:

  • Empowers professionals and content creators to generate unique characters.
  • Utilizes AI technology to transform simple text into captivating characters.
  • Versatile application for branding, marketing, storytelling, and social media content.
  • Extensive creative possibilities for cartoon characters, gaming avatars, and 3D models.
  • Enhances content with distinctive characters that stand out.
  • AI video editing tools offer the potential to create animated text, sound effects, and more.
  • Allows the incorporation of generated characters into videos and other content.
  • Offers an intuitive process: type a prompt, generate images, and enhance with video editing.
  • Simplifies the character creation process for those with varying levels of creative experience.
  • Provides a convenient platform for elevating brand identity and engagement.

Cons:

  • Generated characters might not perfectly match the user’s envisioned appearance or style.
  • Limited to the capabilities and variations provided by the AI technology.
  • Users may require additional editing or refinement to achieve precise character representation.

 

Fotor 

Experience the transformative capabilities of Fotor’s AI Character Generator, a powerful tool backed by advanced character creation technology. This generator brings your character ideas to life based on descriptions you provide.

By processing your input through AI algorithms, the generator swiftly produces characters that match your vision. Fotor’s online character creator allows simultaneous creation of multiple characters, adjustable via a convenient number bar.

The tool offers a Random Character Generator mode, providing endless possibilities for AI-generated characters across various styles, from realistic and fairy tale to cartoon and fictional characters. Discover Fotor’s exceptional AI Character Generator, enabling artists to explore diverse concept art styles and bring their creative visions to life effortlessly.

Pros:

  • Utilizes advanced character creation models to transform descriptions into characters.
  • Efficiently generates characters based on user-provided input.
  • Allows for the creation of multiple characters simultaneously through a slider.
  • Offers a Random Character Generator mode for exploring diverse AI-generated options.
  • Supports a wide range of character styles, including realistic, fairy tale, cartoon, and fictional.
  • Provides artists and creators with an array of concept art character design possibilities.
  • Enables customization to match envisioned character designs and styles.
  • Expands creative freedom by facilitating swift and hassle-free character creation.
  • Ideal for artists, writers, and creatives seeking inspiration and versatile character options.

Cons:

  • AI-generated characters might not always align perfectly with the user’s creative intent.
  • The range of customization might be limited to the capabilities of the AI model.
  • Users may require additional editing or refinement to achieve precise character representation.

FAQs about AI character generators

What is the best AI to generate characters?

Determining the “best” AI for generating characters depends on various factors such as your specific needs, the type of characters you want to create, and your personal preferences. Try out the tools we’ve suggested in this article and see which one you prefer!

How can I create my own AI character?

Creating your own AI character involves a combination of creative input and leveraging AI tools. Here’s a general process you can follow:

Define Your Character:

Start by outlining your character’s traits, personality, backstory, appearance, and any other relevant details. This will provide the foundation for the AI to work with.

Choose an AI Tool:

Research and choose an AI character generation tool that aligns with your needs. Some tools specialize in text-based character generation, while others can also produce visual representations.

Input Descriptions:

If the tool you’ve chosen works with text input, provide detailed descriptions of your character’s attributes and personality. This could include physical appearance, personality traits, motivations, and background.

Customize Parameters:

Depending on the tool, you might be able to customize certain parameters like age, gender, profession, and more. Adjust these settings to match your character concept.

Generate Character:

Use the AI tool to generate your character based on the input you’ve provided. The AI will use its algorithms to interpret your descriptions and create a character accordingly.

Review and Refine:

Once the AI generates the character, review the results. If needed, make adjustments to the generated character to ensure it matches your creative vision.

Iterate and Experiment:

Don’t be afraid to experiment and generate multiple versions of your character. AI tools can offer a range of options, and trying different inputs might lead to unexpected and inspiring results.

What other kinds of AI generators are there?

AI generators come in various forms, catering to different creative needs and industries. Here are some types of AI generators:

Text Generators

AI-powered text generators can create written content such as essays, stories, poems, and even code. They use natural language processing to produce coherent and contextually relevant text.

Image Generators

AI image generators create visuals, drawings, and paintings based on textual descriptions or prompts. They are used in graphic design, art, and creative projects.

Music Generators

AI-driven music generators create original compositions or modify existing music based on patterns, styles, and genres. They are utilized by musicians and composers to aid in music creation.

Video Generators

AI video generators assist in automating video editing tasks like trimming, enhancing, and adding effects. They save time and streamline the video production process.

Storyboard and Concept Art

AI generators can turn textual descriptions into visual storyboards or concept art, aiding filmmakers, game developers, and other visual storytellers.

Code Generation

AI can generate code snippets, templates, or even entire programs based on requirements. This accelerates software development and coding tasks.

Language Translation

AI-powered translation generators offer accurate and context-aware translations between languages, enabling communication on a global scale.

Data Synthesis

AI generators can synthesize realistic data sets for training machine learning models, helping to create diverse and representative training data.

Character Dialogues

AI can generate dialogues and interactions between characters, useful for scriptwriting, game development, and interactive storytelling.

Fashion Design

AI generators assist fashion designers in creating new designs, patterns, and clothing styles based on existing trends and inputs.

Poetry and Stories

Specialized AI story generators focus on generating poetry, short stories, and literature that mimic specific styles or authors.

Chatbots

AI can create chatbots or user profiles based on demographics, behaviors, and interests, aiding marketing and user experience design.

Logo and Branding

AI logo generators help businesses and individuals create logos and branding assets quickly based on design preferences.

These are just a few examples, and AI generators are continually evolving to serve various creative and practical purposes across different industries.

He is the owner of jeffbullas.com. Forbes calls him a top influencer of Chief Marketing Officers and the world’s top social marketing talent. Entrepreneur lists him among 50 online marketing influencers to watch. Inc.com has him on the list of 20 digital marketing experts to follow on Twitter. Oanalytica named him #1 Global Content Marketing Influencer. BizHUMM ranks him as the world’s #1 business blogger. Learn More

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By Joseph Green

Find free courses from the likes of MIT, Google, and IBM.

TL;DR: A wide range of AI and ChatGPT(opens in a new tab) courses are available for free on edX. Enroll in the best courses from the likes of Google, IBM, and Harvard, without spending anything.

Artificial intelligence and chatbots like ChatGPT are not going anywhere, so maybe it’s time to learn something about this technology? The time is now.

edX offers online courses from the likes of MIT, Google, IBM, and Harvard. And better yet, some of the best online courses are even available for free. We’ve checked out everything on offer from edX, and lined up a selection of standout AI and ChatGPT courses that you can take for free.

These are the best free AI and ChatGPT courses as of July 18:

These courses are completely free, but you can receive a verified certificate of completion for a small fee. There’s no pressure to upgrade, but it might be nice to stick something on your CV.

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Feature Image Credit: Pexels

By Joseph Green

Joseph joined Mashable as the UK Shopping Editor in 2018. He worked for a number of print publications before making the switch to the glittery world of digital media, and now writes about everything from coffee machines to VPNs.

Sourced from Mashable

By Jeff Beer

Four lessons that show the enduring value of David Ogilvy’s advertising wisdom. Why the industry should re-embrace the legend’s insights to guide it through an uncertain future.

Strolling around the south of France a few weeks ago—populated with execs from the best, brightest, and richest brands, ad agencies, media companies, and social and tech platforms gathered here for the Cannes Lions Festival of Creativity—you could almost hear the constant chant of “AI, AI, AI, AI . . . .” It was the backbeat to the song of the summer being blasted by everyone up and down the Croissette.

Advertising has long been known for its susceptibility to obsessing over the hot new thing. QR codes! NFTs! Celebrity creative directors! User-generated content! And now: artificial intelligence! If there is a craze in culture and communication, you can bet that a brand and its ad agency are exploring a way to exploit it.

Forty years ago, when legendary ad man David Ogilvy published his seminal book Ogilvy on Advertising, none of those (mostly fleeting) trends existed. Actually, an overwhelming percentage of today’s industry was barely out of kindergarten in 1983. According to a recent survey by Marketing Week, about three quarters of ad people today are under the age of 45. Ogilvy is one of the founders of modern advertising, building his agency Ogilvy & Mather into a global behemoth over the late 20th century. But now, like so much of the industry, it’s been swallowed up by a holding company and exists as a nameplate sub-brand within a somewhat undifferentiated sea of them.

Ogilvy on Advertising wasn’t Ogilvy’s first attempt at trying to lay down the precepts by which he believed his industry should operate. In 1963, at perhaps the height of his powers, Ogilvy published Confessions of An Advertising Man, which was part memoir, part advertising instruction. To some, Ogilvy on Advertising was a titan seeking to reassert his foundational values amid changing times. The Agency Review wrote in 2012 that, “By 1983, the creative revolution had steamrolled across America, making celebrities of George Lois, Mary Wells, Bill Bernbach, and dozens of others. Ogilvy’s long-form copy, iconic imagery, and reasoned presentations were, in many ways, relics of another age. Ogilvy on Advertising was, then, the master’s attempt to reposition his agency in this brave new world.”

Now, in 2023, the advertising industry itself is the one constantly forced to navigate an ever-evolving set of communication tools and how people use them. It is nearing the end of its second decade seeking to reposition the entire $73 billion business in this brave new world where on a good day an AI-centric tech giant can see its market cap rise by at least the value of the entire ad world. Adland is not what it was in 1983, and certainly not 1963, shunted out of the centre of the universe by the tech companies which thoroughly disrupted them. In the 1980s, there were a myriad of movies and TV shows featuring larger-than-life ad creatives. It’s a segment of pop culture that has not been resuscitated by nostalgia.

Looking at the annual juxtaposition of the past year’s best work with the current obsession, though, I can’t help but see glimmers of how some of Ogilvy’s core principles remain in play. These ideas can still serve as guideposts for how to best utilize any given trend or new technology.

These bits of wisdom cannot and should not be forgotten. So I’ve picked out four of my favourite Ogilvy-isms from Ogilvy on Advertising, and found some of the best work from the past year that embodies them. It’s far from a comprehensive list, but together they illustrate that even an industry relentlessly pursuing a path to relevance in an uncertain future can find valuable lessons in the past.


“If you’re trying to persuade people to do something, or buy something, it seems to me you should use their language, the language they use every day, the language in which they think. We try to write in the vernacular.”


When we talk about language, we can also be talking about cultural language. Sure, another one of Ogilvy’s famous lines says that the customer is not a moron, she is your wife. That still holds true. But as media has become more fragmented, brands’ ability to tap into the cultural language of their audience is tougher than ever.

This is why I’ve always been a fan of when brands are able to put a smile on your face in unexpected ways, through an expected behaviour. It’s Geico’s unskippable pre-roll ad in 2015, and Tubi’s Super Bowl interruption this year.

It’s also this Cannes-winning work from Argentina’s most popular food delivery app Pedidos. Created by agency Gut Buenos Aires, it sent unexpected delivery notifications to six million initially-confused customers. Until they found out it wasn’t a mistake, but the brand sending them a live tracker of the World Cup trophy coming home. It spoke the cultural language of a significant moment, using the product itself.

“When people read your copy, they are alone. Pretend you are writing each of them a letter on behalf of your client. One human being to another, second person singular.”

This one made me think of Dove’s 2022 short film Toxic Influence, an extension of its long-running Campaign for Real Beauty. Last year, the brand focused on the shared humanity between moms and daughters, crafting a story told through real individuals. Created by, yes, Ogilvy’s namesake agency, the film deepfakes each mom, offering up just awful health and beauty advice that their daughters would find from beauty influencers. The real moms were understandably freaked out, and it tapped directly into some of the deepest concerns many parents have around the potential hazardous effects of social media on their children.

Earlier his year, the brand continued pulling that thread with a Cannes Lions-winning piece of work called #TurnYourBack, aimed at TikTok’s “Bold Glamour” filter and the unrealistic beauty standards it encourages. Dove continues its work here of adding its brand voice to back up the concerns of parents and social platform users on these issues.

“Make the product the hero. There are no dull products, only dull writers.”

One of the best examples of this from the past year was the surprise Super Bowl winner from The Farmer’s Dog. (Full disclosure: One of the ad’s creators, Teressa Iezzi, is a former Fast Company editor and colleague.)

The healthy dog food brand wanted to get across the idea that better food could mean a longer life for your furry best friend. This could obviously be done in any number of straight-forward, unexciting ways, but instead the brand told the life story of a dog from both the owner and pup’s perspective in a way that had people weeping into their Super Bowl party nachos.

“Advertising people who ignore research are as dangerous as generals who ignore decodes of enemy signals . . . . Big ideas come from the unconscious. This is true in art, in science, and in advertising. But your unconscious has to be well informed, or your idea will be irrelevant. Stuff your conscious mind with information, then unhook your rational thought process.”

Okay, this is clearly a combination of two different quotes, but they tie together in that creative work for creative’s sake is rarely, if ever, going to work as advertising. Whereas a creative idea rooted in a researched insight can be where the magic happens.

Case in point, McDonald’s Cactus Plant Flea Market happy meal for adults that launched last fall. Tariq Hassan, the brand’s chief marketing and customer experience officer, told me that entire project, created with Wieden+Kennedy, came from a customer tweet about how you never know when it’s your—or your child’s—last Happy Meal. That led to more research into how its customers and fans felt about nostalgia, and where the brand fits into their lives.

Armed with lessons from its already massively popular Famous Orders work, with celebrities like Travis Scott and BTS, McDonald’s had seen the power of using its place in culture to sell core menu items. The collaboration with Cactus Plant Flea Market was a blockbuster success, with 50% of the fast-food chain’s supply of collectable toys sold in just four days. CEO Chris Kempczinski said in an October 2022 earnings call that it drove increased sales across the company’s U.S. locations.

That partnership also elevated McDonald’s to the top trending hashtag on TikTok and, more important, led to a weekly record for the chain’s U.S. digital transactions. In addition, it helped McDonald’s continue its momentum, helping the chain achieve nine straight quarters of same-store sales growth, with U.S. comparable sales growing more than 10% for all of 2022.

Mr. Ogilvy would no doubt approve.

Feature Image Credit: Getty Images

By Jeff Beer

Sourced from Fast Company

By Pesala Bandara

A terrifying new ad campaign featuring a deepfaked girl is warning parents against sharing photos and videos of their kids on social media.

The shocking advertising campaign, created by telecommunications company Deutsche Telekom, has gone viral for its dark warning of the potentially devastating consequences of parents posting photos of their children online.

The haunting video — which has amassed over 5.5 million views on social media in the last day — reveals how just how easily a child’s image can be manipulated using artificial intelligence (AI).

The ad delves into the story of nine-year-old Ella. Like many parents today, Ella’s mother and father regularly post videos and photos of their young daughter on social media.

However, Ella’s parents have never considered how their daughter’s future could be destroyed by “sharenting” — the common practice of parents sharing photos or videos of their children online.

‘The Beginning of a Horrible Future’

In the ad, a deepfake version of an adult Ella is created with the help of AI — using just a single photo of the nine-year-old girl that her parents shared online.

The “older” deepfaked Ella can move and talk like a real person. And she confronts her horrified parents on the big screen as they watch a movie at the cinema.

The deepfaked version of their daughter reveals the terrifying repercussions that followed after her parents posted her photos and videos on social media.

The ad chillingly explains how children whose images are posted online could fall victim to identity abuse, deepfaked scams, and child pornography among other crimes.

The Average Five-Year-Old Has 1,5000 Photos Online

Adweek reports that some studies have estimated that by 2030, nearly two-thirds of identity fraud cases affecting a young generation will have resulted from “sharenting.”

Research also shows that an average five-year-old child has already had about 1,500 pictures uploaded online without their consent by their parents.

Last week, PetaPixel reported on how Meta CEO Mark Zuckerberg caused a stir across social media when he posted a family portrait on Instagram that obscured the faces of his two older children with emojis. Meanwhile, his infant’s face was not covered in the photograph.

It revealed Zuckerberg’s awareness that his elder children’s faces are developed enough to become recognizable by strangers online and by facial recognition software.

By Pesala Bandara

Sourced from PetaPixel