Marketing AI CEO Chats with GoCharlie AI Co-Founders Kostas Hatalis & Brennan Woodruff

Marketing AI CEO Chats with GoCharlie AI Co-Founders Kostas Hatalis & Brennan Woodruff

Let’s chat AI Marketing! Welcome, Kostas and Brennan of GoCharlie to our inaugural podcast!

Transcript of the CEO Chat

Scott (00:04): Hi, and welcome to the AIContentGen video podcast. And today we’re delighted to host Kostas,  the CEO of  GoCharlie, and also Brennan, the COO of GoCharlie. And we’re gonna be talking about how GoCharlie helps marketers get their work done. And so thanks for joining us. My name is Scott Sweeney. I’m one of the founders of AIContentGen.

John (00:33): And I’m John Cass, one of the co-founders of AIContentGen. Thanks so much, Scott. Well, it’s nice to see you, Kostas and Brennan. Perhaps we can start off by asking you to tell us about yourself and also your AI journey.

Kostas (00:50): Yeah. I’ll introduce myself and then Brennan. I think it’d be for him to introduce himself. I founded GoCharlie about a year ago, it’s our first birthday coming up soon. We founded coming outta my PhD, where I saw a massive opportunity that only a few short years ago, content generation of AI, whether it’s text now, images and audio and video was really considered science fix. And it’s still in the realm of academia and universities. And now we’re seeing, we’re starting to see the early days of this explosion and it’s only gonna pick up from here. So that was my main inspiration for starting the company.

Brennan (01:39): Yeah. So Brennan Woodruff here, I’m COO co-founder of GoCharlie.ai. My AI journey was, a little bit different than Kostas who’s obviously had a decade worth of experience in the field, I personally joined SoftBank back in 2019 working on the vision funds because I wanted to learn more about artificial intelligence.  I saw that that’s where the world was going whether or not it be AI replacing humans or where I think we like to place is the enablement of human capabilities through artificial intelligence type technologies. What I found when I was at the vision funds is that there were a lot of different flavors of artificial intelligence but generative AI, I think has the potential to be the most transformative of any of the AI technologies I saw during my time there. And so when Kostas and team offered me the opportunity to jump aboard, it was a bit risky, but I wanted to take the plunge and learn as much as I could from some forefront thinkers in the space

Kostas (02:42): To mention our third co-founder could make the call. She’s she also has a PhD in AI and together we’re, we’re building our own technology from the ground up. So that’s one unique aspect about GoCharlie, is that unlike many of the other players in the space, especially for writing and for marketing it’s rare to find a company that’s developing their own technology, whereas instead of just plug and play from open AI or Google or IBM or existing technology is.

Scott (03:15): That’s really exciting. So does that mean that you don’t actually use any of the other technologies just your own AI?

Kostas (03:23): We do use some of the other technologies for three purposes. One is experimental to see if our AI meets or surpasses two for data augmentation, we do use, for instance, GPT-3 to help create data to train our own models. And we do also use a few other tools to augment our capabilities. Our plan by end of the year is to become a hundred percent self-sufficient. But that this, does take time. And as you guys may know that GPT-3, which we see as one of our competitors took a team of 30 PhDs years and I think 5 million to train. So we have a pretty big, you know mountain to climb.

Scott (04:14): Absolutely great. Well, that’s exciting to have a goal of being 100% your own AI by the end of the year. 

John (04:24): So next, what’s the what does the software do, perhaps you can explain that to the folks.

Kostas (04:32): This is where it gets really unique. We’re proud to say that we’re one of the first to be able to analyze images, to create content. So first off we’re a platform to help create digital marketing content, primarily co caps text. So sort of a co-writing tool for the time being we focused initially on social media posts and ads, and now we’re slowly expanding into almost every use case. And as I mentioned in the beginning, we pride ourselves in that we are trying to be the first to be multimodal, to incorporate other types of media into the content process. For instance, we can take an image and create an entire or, or post out of it. And one of the first ones to do that, we’re working on prototypes with video and with audio, and soon towards the end of the year, next year, we’re also doing the opposite, which is to go from text to an image. You guys have definitely heard of Dolly too, so there’s another mountain to climb there. And that’s definitely a unique obstacle in the sense that those are great artistic pictures, like paintings, but none of them are quite there yet for professional, like marketing purposes. Brennan, I think you definitely have a lot of ideas there. A lot of opinions there too.

Brennan (06:01): Yeah. Yeah. I mean, the way that we’ve approached generative AI is transformative technology. And while we see a bunch of competitors having success in purely the writing space, we think that that’s almost a disservice to the technologies capabilities. You, as you’ve seen with DALL·E 2  and a couple of other WebOs dream apps. There’s definitely an appetite for apps where you can go from text to an image. We also have seen a significant appetite for having a video and being able to turn that into text content. You know, we really want to make the starting point wherever the user is. So maybe the user has a photo or they have a video, but they have no idea what to say to optimize their content and engage their target audience. We want to be that bridge between the modalities with our AI. So we’re looking a little bit beyond writing, but we’re finding that that’s a good space to start out in because the learning there applies to so many different other mediums of media.

Scott (07:06): Great. Our next question is kind actually, you may have felt like you already answered it, but I’m gonna ask you anyway, is what’s the strength of your software

Kostas (07:19): And in its current state, I would say three main strengths first is that we’re trying to be driven by, our customers, our users, like building this in public, getting instant feedback. Again, we’re very small. We have several hundred users but we listen to every single one of them. And to that end, because we’re building a lot of this ourselves, we are going this multimodal aspect. So, and we hear a lot of, you know, demand, Hey, I want to use this image or this video and create content out of it. Another thing is it, blogs, Brennan and I were discussing the other day are like, Hey, can you take this blog and gimme 10, you know, tweets or, or Facebook posts out of this single blog? So that’s, our core strength is being able to innovate very fast with our own ideas and implement them from the ground up.

And the third is not to be that strength, but something I would say is that we try to be fun. And this is actually Brendan’s idea which I absolutely love this is that we have, for instance, these tones. So when you’re creating content on our platform, you can choose a tone and we’ve added some fun tones like a pirate, Brooklyn, and Shakespeare. And, when you start playing with ’em, they’re so incredibly fun and you can’t just help yourself, but giggle a little bit or just smile. So that’s a philosophy that we’re adapting is that when you’re using our tool so not just help you be more productive, but it should be fun to play with and just make you happy to use it.

John (08:57): Yeah, almost like the old Groupon model where they had that different style. That was the whole approach. Wasn’t it using a content style?

Brennan (09:07): definitely. And I think Kostas hit the nail on the head, you know, in a post-pandemic world where everyone’s experiencing burnout. We’re trying to introduce tools that make work feel as fun as playing with a puppy. So that’s, that’s GoCharlie. But we think some of those new tones are definitely a massive step towards that in making work feel like play.

John (09:29): So how do you support the client’s content design approach, you know perhaps in the areas of ideas and research briefing, actually writing the content, optimizing the content, you know, you talked about doing some of those extra things, even expansion metrics, you know, do you have how do you, how do you follow that content design teams sort of framework for how they do things?

Kostas (09:56): So, Brennan, you wanna talk about the customer aspect and I’ll talk more about the technical aspect next.

Brennan (10:01): Yeah, yeah, definitely. So John, I, I think you’re hitting the nail on the head, as you know, like when we think about a land and expand strategy, we’re, we’re starting to think about all right. Yeah. We’re generating the content, but, the creative process for humans and marketers and anyone that needs to create content really is like, you have to start from an idea. And so for some people that idea, we see more with like an influencer type customer. That idea is more life experience. It’s something that’s like really created this learning. They want to share with people to engage their audience in a more organic storytelling-driven way. For marketers, it seems to be a little bit more driven about like, what’s trending. So while it’s not there yet we actually have a hashtag and recommendations and trending functionality that’s being developed to really start you at that ideation point based on what’s performing what’s working well in your industry what topics are trending, which hashtags are trending that gets us a little bit more into that SEO space.

Brennan (11:03): So it’s still to be determined if we’ll grow that through partnerships or not. But then as we kind of go from ideation into that content creation piece, that piece, I feel like we’re completely addressing right now, but expanding the number of use use cases we go across then the next piece which I think is a huge differentiator for us is that we have content scoring. So content scoring too, if you’re unfamiliar is the ability to assess the content that we’ve created against the industry’s most engaging pieces of content that we’ve analyzed indexed, and fed through our models and really give you actionable insights as to how you can improve it. So not only are we giving you insights on how to improve and edit, but then if you think about the application of this in an enterprise setting that can, our content scoring can become part of your review process.

Brennan (11:52): So rather than living independently through a bunch of different emails, you just check the box that, Hey, you’ve scored an on GoCharlie’s content scoring. Therefore it’s good by me. And then the last piece obviously is, you know, publishing that content. And we’re, we’re happy to say that in the next month and a half, we’ll have the ability to post directly from GoCharlie into 10 different platforms that are most commonly used by our marketers that we’ve talked to. So that’s Facebook, Instagram, Twitter, YouTube TikTok. So we’re really trying to land and expand from just the content generation piece to a full sort of content creation platform methodology.

Kostas (12:31): Excellent.

Scott (12:32): That’s great. I, I have a question about that. How are customers doing with the scoring you know, one of the areas I’m always interested in being several businesses over the years is metrics? So is there a way to are there customer success stories or are there proof points on how that works?

Kostas (12:56): So still in the early days, we’re actually in the process of creating use cases now and hopefully band of the summer, we’ll be able to publish a few white papers on those use cases. Content scoring is, is becoming quite popular with our users. There’s still a lot for us to figure out what’s the best way to deliver it. We have quite a big UI. So we’re trying to take out an approach of optimizing for mobile, which we’re realizing almost all of our customers are on their mobiles. And that’s something none of our competitors are doing either is, okay, how can you deliver an immense amount of value on a much smaller screen? And we’re also seeing quite a bit of demand in addition to the quality of the writing is to what audiences will, you know, a content resonate with specific demographics, gender location, so forth.

Kostas (13:48): And part of our multimodality aspect is to analyze we’re building right now, the ability to analyze the content and tell you, okay, this is great for gen Z, or this is great for millennials, but also given an in image or video, okay, will this also appeal? So it’s more of a complete all-in-one packet analyzing quality than analyzing the appeal. And we’re in the process of seeking out a few partnerships with something data marketing companies to then start getting more performance statistics and say, okay, we can give you a quality score and audience score, but now let’s start predicting how many clicks, how many likes we will. We also start getting with your content especially as it gets mixed up with videos and images in different modalities, that’s something we’re also cooking up in our, in our MADLAB, <laugh>,

Scott (14:38): It’s exciting. So I think that leads us to our, our final question for today. And it’s one that I always find very insightful from business leaders, in general, is if there’s one thing that you believe that most people believe about AI content generation that most people think is true, but you actually take a contrarian view. You don’t think it’s actually that true.

Kostas (15:08): I’ll go last cause as a Ph.D. in AI, I have a lot of opinions about <laugh> the world is different than actually is.

Brennan (15:15): So just to make sure I, I understand the question correctly, Scott, you, you wanna know what the masses think about generating content with AI that we don’t necessarily think is true? Correct.

Brennan (15:27): Got it. I think that there is a large portion of folks that look at AI content generation as a spam tool. And they, you know, they’ve cherry-picked validation of that belief through some of the Google policies about AI content and, and rather than delving into, you know, the science behind that and what was actually said, they just believe the headlines for what they are and, you know, we don’t, we don’t really subscribe to that, that idea. We believe that there could be bad users in, in abusers of such technologies to create content that is spammy or that is trying to be manipulative. But, but we believe that the majority of users of an AI content generation tour are, are really trying to pursue just making their dreams come true, whether that’s, you know, creating content to help grow their business or creating content, to create awareness around a passion that they care about, or, or maybe even just helping their friend grow their business so that they can be sustainable in, in this economically wild world that we’re living in. So, so for us, we, I, I would say that we don’t really subscribe to the AI content generation being a spam tool. It’s more an enabler, of people’s personal pursuits. And, and that’s how we choose to view AI is just, we’re enabling, what’s already there. We’re just giving you a way to unlock it.

Kostas (17:01): And I also add, cause that comes with two fears is one, AI is gonna spam you, but also AI may replace you. And that’s another belief we don’t have is that it, our whole philosophy is that it’s gonna augment your life, make your life easier, the same way that Photoshop 20 years ago made designers’ life easier instead of just doing things by hand. And that’s how we see AI. Maybe in 10, or 20 years, it’ll start replacing jobs, but we’re nowhere near there. And to be honest, we don’t wanna be in the business of replacing people’s jobs either. We wanna make them as productive and as fun as possible, really that that’s our whole core mission at GoCharlie.

Scott (17:43): I love the comparison to Photoshop and yeah. And especially for your application, I, I think that’s a really good analogy and you know, who knows what kind of jobs are gonna be around 10 to 20 years from now. Right, exactly. So so that’s a kind of a long time frame.

John (18:05): And, and I agree Kostas, I mean, isn’t it true when I’ve spoken to so many folks in the industry where I think these tools are, are helping those marketers and writers to get more out of their profession by doing more so I think it’s, I think that’s very true. So I think it’s a good idea. I think that that saying that you have about making it fun again is, is, is pretty insightful. So I really really appreciate Kostas and Brennan for joining us on the content video podcast. I also wanna thank the audience for supporting us. Thank you, Kostas. Thank you, Brennan. 

Scott (18:47): Thank you, guys. Take care. We’ll look forward to talking to you again sometime soon. <Laugh> thank you.

 

 

 

 

Is AI Marketing Legit?

Is AI Marketing Legit?

Is AI Marketing Legit?

Just Ask IBM Watson! Are brands like Toyota, Best Western, and CVS legit? They have all used AI-Powered IBM Watson to attract and engage prospects at critical times in their customer journeys resulting in impressive results. Wayfair has developed its own Machine Learning models to predict their consumers’ preferences concerning email marketing.2

So the simple answer to “Is AI Marketing Legit?”  is a 100% Yes!  AI for marketing is a legitimate way to use artificial intelligence to help with marketing tasks. 

It can automate tasks, such as customer segmentation, campaign management, and product recommendations. It can also improve accuracy and targeting and free up time for marketers. And it can assist in content creation.

What is AI for marketing?

AI helps with marketing by automating tasks since AI can process large amounts of data quickly and effectively. This can free up time for marketers to focus on other tasks. 

AI can also lead to more accurate and targeted marketing campaigns. 

Can AI-generated content be as good as human-generated content?

AI-generated content can be just as good as human-generated content, and in some cases, it can even be better. This is because AI can analyze data more quickly and accurately than humans, and it can also create targeted content that is more likely to resonate with readers.

Is AI Marketing becoming the new norm? 

As artificial intelligence (AI) continues to grow and evolve, technology is beginning to create content that writers would otherwise write. While some AI-generated content may be of poor quality, there are cases where it can be legitimate and even beneficial for businesses. In general, AI-generated content can be a helpful tool if used correctly; however, it is essential to remember that artificial intelligence is still in its early stages of development and thus should not be relied on exclusively. The use of AI in marketing is still a relatively new concept and one that not everyone is familiar with. 

AI is currently being deployed in personalization, targeting, PPC advertising, chatbots, you name it!. And, AI powered Predictive Analytics is helping companies to deliver the right content to the right customers at optimal times. Anywhere that big data or repetitive tasks are involved are a great place to apply AI for Marketing.

What is AI-generated content?

In short, it refers to any type of content that has been created with the help of artificial intelligence. This can include articles and blog posts, social media posts, and even product descriptions. While some people may be hesitant to trust the content that a machine has created, there are actually several advantages to using AI-generated content for marketing purposes.

For starters, AI-generated content can be highly accurate and informative. Because it is generated based on data and patterns, when writing certain types of content, such as reporting on last night’s sporting events,  financial results, or healthcare information, there is less room for error than if a human were creating the same type of content. This makes AI-generated content especially well-suited for businesses in industries where accuracy is essential. Additionally, because AI can generate large amounts of content quickly and efficiently, it can be a valuable tool for businesses that need to produce a lot of content regularly but may not have the staffing to do so manually.

Of course, it’s important to remember that artificial intelligence is still in its early stages of development. There are certain limitations to what AI can do when it comes to creating marketing content. For example, AI typically struggles with understanding context and subtleties such as tone and style; as a result, the quality of AI-generated content can sometimes be lacking compared to handcrafted copy written by humans. However, these limitations are gradually being addressed as technology continues to evolve; as more advances are made in the field of artificial intelligence. 

What is the Future of AI For Marketing? Learn Here! 

Will AI Content Generation Replace Human Writers?

In some cases it already has. The Associated Press began using AI in 2014 to automate the writing of news stories about corporate earnings. This freed writers from the drudgery of translating numbers into words allowing them to focus on stories that required higher levels of journalistic expertise.

While some people may be hesitant to trust the content that has been created by a machine, there are actually several advantages to using AI-generated content for marketing.

As artificial intelligence continues to evolve, it is becoming better at understanding context and subtleties such as tone and style. This means that the quality of AI-generated content is improving all the time, and it is beginning to rival copy written by professional copywriters.

Additionally, AI might struggle with understanding complex concepts or humor. So it’s essential to have a trained writer pulling the strings, putting on the finishing touches and reviewing the copy for bias, plagiarism and adherence to corporate style guides.  In the future, we can expect AI to become even better at creating high-quality content that engages and informs readers.

Is it time to Develop a Strategy for AI?

You betcha! 

If you’re a Content Manager, PR or Marketing Agency, Writer for hire,  CMO, Product Marketer, Ecommerce Company, you know what to do. Jump on the AI Bandwagon. Yes, AI for marketing is definitely legit! It’s a growing field that is already helping marketers to automate tedious tasks and improve their campaigns.

Need Help with Developing a Strategy, Plan or Jump Start in AI? 

We’re here for you with reports, custom AI Marketing training sessions and advice. All we do is AI for Marketing. 

Contact AIContentGen to learn how to get started.

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2 Nightingale: Scalable Daily Sales Email Sending Decision Model

See the AI Content Generation ScoreCard and Analysis

Cover Page AI Contnent Generation Scorecard

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From Typewriters to AI Content Generators – The AIContentGen Market Survey

From Typewriters to AI Content Generators – The AIContentGen Market Survey

From Typewriters to AI Content Generators – The AIContentGen Market Survey

In 1979 I left for my Freshman year in college at the University of Massachusetts, Amherst.  I jumped into my Chevy Chevette packed to the hilt that included a high school graduation gift from my parents, a portable, manual Smith-Corona typewriter.  Little did I know that my popular typewriter came from a highly concentrated industry that a decade prior was dominated by only five companies accounting for 79.7% of the market, spurring action by the FTC.1

Now we’re looking to identify a similar but 2020’s market size and share, albeit at a different maturity curve.  AIContentGen is working on a market size survey for the AI content generation industry. We are using various approaches to gather information and estimate the market’s current size for AI content generation software. 

The survey will be sent to AI companies to ask a series of questions about their sales of AI content software and information about growth rates. As a result, AIContentGen will develop research on: 

  1. The size of the market
  2. Growth rates

The objective is to estimate the potential market for AI content creation and the percentage of customers willing to adopt AI content software. If you had a market of 1000 customers, 20% of customers are willing to buy and use AI software, the market size would be 200 customers. 

Another way to estimate the market potential is to conduct surveys with customers and determine the percentage of customers in a market using the product and the number of customers considering jumping in. 

In addition to estimating the potential size, we can also conduct a survey of AI companies and ask how many subscribers they have using the software. 

Some AI companies might be concerned about not participating in such a survey. Here are some reasons why it’s important to give some numbers on the market’s potential size, the current size of the market, and the growth rates. 

  • Start-up AI companies are looking for venture or angel investment; if the market can demonstrate a potential business in the industry, it will make it easier to raise additional investments. 
  • Customers waiting on the sidelines will be more willing to jump in and start using AI content generation tools if they get a sense of the current scope of the market. 
  • Sizing the market by industry or type of content will help you focus marketing efforts or avoid working in a market that you think has sufficient customers but doesn’t. 
  • By understanding the market scale, AI companies can estimate their profits and what resources will be available to generate revenue based on potential profits. Further, suppose there are more players in segments of the market. In that case, a market size report can be used to understand the potential profit that could be made based on the market size for an industry or type of content and the number of competitors in the market. 

Quotes from investors: Why a market size view is important

Ray Chang  – Founder, Advisor, and Investor

“Knowing and understanding the market size helps investors understand what the available profit could be.  Some investors may be less risk-averse and would rather play in a small market than a bigger market.  Or, from a strategic point of view, a smaller market would be better for one application of a product to test it out.  If it’s successful, perhaps they could expand to other markets with changes such as language or color, etc.”

 

Lauren Nham – Product + Ventures + Investor – NewChic Capital, MetaCap Ventures & GovingVC Partners

In short, attractive underserved markets. Market opportunity & market timing.”

“What’s the current state, and where will it go? Where does it cross over and connect across industries and functions and geopolitical regions? For example, consumer behavior and needs evolve, and how well the market serves (or underserves) target market segments constantly fluxes. Too large and the market is only suitable for late-stage, too early, and the mainstream PMF (Product Market Fit) may exist beyond target return windows.

A true understanding of the market would identify interlocks across different sectors and tranches of the value chain. The ability to see the market in a truly multi-dimensional view is where the opportunity lies.”

Examples of  Market Size Studies Impacting New Industries

Word of Mouth, MarTech & ABM

The Word of Mouth Marketing Association was founded in 2004. The association was a trade group set up to promote Word of Mouth Marketing, which was the term used in the industry before the adoption of social media. WOMMA had companies as members, and the trade group held industry meetings, conducted important research on the value of word of mouth marketing to companies, and generally promoted the industry. Without WOMMA and its work, social media would not have been adopted as quickly as a strategy by as many companies as it was in the United States; the trade group helped demonstrate the market potential and size. The Association of National Advertisers acquired WOMMA in 2018.

MarTech

Scott Brinker’s now famous Marketing Technology Landscape Map infographic showing the extent of the Marketing Technology industry helped popularize the growing importance of Marketing Technology amongst marketers. The series of yearly infographics illustrate the growth of the industry and its weight in the industry. Without the infographic, customers will not be as aware of the different marketing technology categories or that their peers and competitors are using so many kinds of marketing technology. The landscape Map helped set the industry’s understanding of the importance of the industry and fueled lots of interest from customers in what technology to pick. 

Martech Landscape 2020

 

Jon Miller’s ABM Market Map

Co-founder of Marketo, Jon Miller, helped explain the benefits of Account-Based marketing with his simple ABM Market Map; again, he helped scope out the different categories of marketing technology that make up the strategy of ABM. Marketers used the map to follow the strategy of ABM and select vendors for marketing technology. 

The AIContentGen Market Survey

Will our Market Survey show a highly concentrated market for AI Writers? Not likely. But this first market survey will put a stake in the ground and we hope that it will benefit all stakeholders in the market. 

Do you work at an AI Content Generation company and would like to get a hold of an AI Content Generation Market Size Report?  The first step is to contact AIContentGen to answer our Market Size Survey. 

Footnote:

1 “In 1968 the year prior to the acquisition in question the two top ranking firms IBM and Royal accounted for about 50.3 percent and the four leading firms IBM Royal SCM and Olivetti Underwood for about 79.7 percent.

FEDERAL TRADE COMMISSION DECISIONS V FINDINGS OPINIONS AND ORDERS JANUARY 1 1973 TO JUNE 30 1973 PUBLISHED BY THE COMMISSION VOLUME 82 UNITED ALTRADE 2903 S OFAMER Compiled by Rules and Publications Section of the Office of the Secretary US GOVERNMENT PRINTING OFFICE WASHINGTON 1973 sale by the Superintendent of Documents US Government Printing Washington DC 20402 Price 14.95 STOCK NUMBER 1800 00159 p. 1009.

See the AI Content Generation ScoreCard and Analysis

Cover Page AI Contnent Generation Scorecard

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Writers Writing (And Talking About) AI Content Writing

Writers Writing (And Talking About) AI Content Writing

Writers on AI Content Writing

With the growing number of AI Content Generation tools and increased use by writers of AI content software, we thought we’d reach out to writers using AI writing software and others who have yet to and ask them questions about their thoughts on AI Content writing. 

We reached out to old friends and new friends and asked them these questions:

  •  What’s the most important thing writers should know about creating content with AI content generation software?
  • What is going to be the impact of ai content gen on writers? 

Here’s what folks had to say, some fantastic insights on ROI, and also some fascinating takes on why folks don’t use AI writing software; read and watch the videos to gain their insights:

Written Responses

Darby Rollins Darby Rollins – Founder – The AI Author | LinkedIn

Darby Rollins is an entrepreneur, marketer, and Amazon best-selling author. He’s the founder of The AI Author (theaiauthor.com), where he helps people write books with AI. In his spare time, you can find Darby drumming or searching the streets of Austin, TX, for the next-best taco truck in town.

Ultimately, AI content gen will help writers to produce better content more quickly and efficiently.

What’s the most important thing writers should know about creating content with ai content generation software?

“There are a few things that writers should keep in mind when creating content with AI content generation software. First and foremost, it’s important to ensure that the data input is of good quality. The context provided to AI is key to generating quality results, and if the data is poor, the AI will produce poor content. Secondly, it’s important to be aware that the AI may not always get things right – writers should always be prepared to review and edit the AI’s work before publishing. Last but not least, it’s important to keep in mind that AI-generated content still needs to be written with the human reader in mind and should be used to supplement human-generated content, not replace it.”

What is going to be the impact of ai content gen on writers?

“AI content generation will have a significant impact on writers, and not just in terms of the volume of content that will be produced. Writers will need to be prepared to review and edit the AI’s work before publishing. AI writing tools allow humans to elevate themselves in terms of content production and take a higher-level approach to the process. This puts more people in a position to strategize and think of the bigger picture while the AI does the heavy lifting on the front end before publication. Ultimately, AI content gen will help writers to produce better content more quickly and efficiently.”

Jeff Cutler 

Professional Actor and Executive Producer of With Jeff

Formerly Multi-Platform Storyteller https://jeffcutler.com 

Where I sit, it’s no longer worth the effort to compete with word mills.

“In the practice of creating content with ai software, writers should examine phrasing, word-use, and accepted meanings critically. As evidenced in traditional/non-ai content and journalism environments, even human writers fall prey to mistakes when there’s no ‘copy-editor’ layer in the process. Simply put, the best writers will rise to the ‘top.’ Whether that means the world’s best writers will shift irreversibly toward writing ONLY as art, who knows? Where I sit, it’s no longer worth the effort to compete with word mills. I think the future for me is in screenplays, novels, taglines, and naming. Especially because content is being delivered much cheaper by computers that spit out keywords into an automated SEO blurb.”

Video Responses

Danny Thompson

Senior Copywriter The Ōnin Group https://www.linkedin.com/in/lefthandedwriter/

Danny Thompson on All About Writers on AI Content Writing by AIContentGen

 

Sheri Masters is a freelance writer based in North Carolina.

https://www.linkedin.com/in/sheri-masters-8907071/

Nicholas Scalice Founder of Earnworthy https://www.linkedin.com/in/nscalice/

There you have it; we’ll continue the series over time. Want to chime in? Comment or reach out to be part of our series!

See the AI Content Generation ScoreCard and Analysis

Cover Page AI Contnent Generation Scorecard

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What Does a Marketing Technology (Martech) Analyst Firm Do?

What Does a Marketing Technology (Martech) Analyst Firm Do?

What Does a Marketing Technology (Martech) Analyst Firm Do?

Marketing Technology Analysts specialize in market analysis and provide advisory services to their clients. Analysts provide market research by analyzing trends, features, and technology. 

  • Martech Analyst firms provide critical information about industry trends and vendor performance.
  • Analysts can help you make better decisions because they know about technology trends.
  • Martech Analysts do Market Research. Market Research is the process of discovering the needs and wants of a specific group of people. Companies use market research to determine whether there is a demand for a particular product or service.

How Do Analysts Conduct Market Research?

Researching the market involves conducting direct research with potential customers to determine whether they would be interested in using a new service or product. Market research helps companies discover their target market and get feedback from customers about their products or services.

Analysts will do research using surveys, product testing, or focus groups to gather feedback from potential clients. Researching the market for a new product or service is an essential part of R&D. 

Use Market Research to Find Customers.

Market research blends consumer behavior and economic trends to confirm and improve your business idea.

It’s crucial to understand your consumer base from the outset. Market research lets you reduce risks even while your business is still just a gleam in your eye.

Analyst firms can help you to answer the following questions to get a good sense of your market:

  • Demand: Is there a desire for your product or service?
  • Market size: How many people would be interested in your offering?
  • Economic indicators: What are the income range and employment rate?
  • Location: Where do your customers live, and where can your business reach?
  • Market saturation: How many similar options are already available to consumers?
  • Pricing: What do potential customers pay for these alternatives?

Analysts Conduct Competitive Analysis to Find a Market Advantage.

Competitive analysis helps you learn from businesses competing for your potential customers. Defining a competitive edge creates sustainable revenue.

Competitive analysis identifies your competition by product line or service and market segment. Some of the following elements define the competitive landscape:

  • Market share
  • Strengths and weaknesses
  • Your window of opportunity to enter the market
  • The importance of your target market to your competitors
  • Any barriers that may hinder you as you enter the market
  • Indirect or secondary competitors who may impact your success

What Are the Benefits of Working with an Analyst Firm?

Getting to know analysts who are experts in their field is a good way for your company to understand what is happening in the market and how major technology vendors are doing in that market. Analysts can often be helpful when it comes to vendor choice. Analysts also understand technology trends and know which technologies enterprises need to be aware of. Analysts can play a significant role in helping companies leverage technology.

How Do I Choose an Analyst Firm?

Whether you need regular advice, cutting-edge research, whitepapers, or well-rounded coverage areas, you’ll want to evaluate your enterprise’s needs when choosing an analyst firm.

AIContentGen is a Different Kind of Analyst Firm.

AIContentGen focuses on Artificial Intelligence Software for Content Marketing

Do you want advice from analysts who just study the market or marketing practitioners who use AI Content Generation Tools themselves?

AIContentGen’s senior analysts are longtime marketing practitioners currently running their own companies.  With expertise in Strategy, Content Marketing, SEO, Public Relations, Agile Marketing, Blogging, and more.  They live and breathe marketing. They know how technology can positively impact your business.

Our analysts understand the importance of theory and strategy and know that strategy execution is critical for success.

If you’re curious about how we can help, then reach out and introduce yourself to AIContentGen.

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