How AI Can Help Your Content Creation Process

How AI Can Help Your Content Creation Process

When writers think of AI content generation, they often balk at the concept because, from their perspective, writers think “why would I want to use an AI content generation tool, I love writing!”. 

That viewpoint assumes that ai content generation tools are only used for creating content, instead what’s useful to know is how AI can help writers, marketers, and communications professionals right across the content creation and design process. How ai can help you will depend upon your process for writing or creating content, this article provides a framework for you to determine where ai can help your content creation process.  

When it comes to the content creation and design process there are a number of pain points experienced by marketers, writers, and communications professionals, they include: 

Marketers

  • Writers that don’t write to the brief
  • Writers not understanding how to do research 
  • Fear of being replaced by AI 
  • My boss doesn’t understand I’m working on the day to day, but they want me to focus on the new and shiny 
  • Poor content creation process at scale 
  • Not the right content 
  • Fear of AI 
  • FOMO of AI 
  • Not enough content 
  • Content that doesn’t convert 
  • Lack of understanding AI 

Writers

  • Fear of being replaced by AI 
  • My boss doesn’t understand I’m working on the day to day, but they want me to focus on the new and shiny
  • Fear of AI 
  • I love writing, and AI will mean I do less writing
  • Content that doesn’t convert 
  • Lack of understanding AI 

PR Professionals

  • Writers not understanding how to do research 
  • Writers that don’t write to the brief 
  • Fear of being replaced by AI 
  • My boss doesn’t understand I’m working on the day-to-day, but they want me to focus on the new and shiny 
  • Poor content creation process at scale
  • Not enough content
  • Content that doesn’t convert 
  • Lack of understanding AI 

These pain points center a content creation leader’s focus on determining if their existing content creation process is set up to create and optimize content as completely as possible. But that’s really the value of AI, not just content creation but the other ancillary benefits from the use of ai for research & briefing. Content managers can have their team embrace the use of AI for content creation as a way to address their pain points. Here’s how AI can help your content planning and creation process 

  • Ideas & Research – Understanding what you should write about from your audience’s viewpoint
  • Briefing – What your content needs to meet the needs of your audience
  • Writing – Creating new content with AI
  • Optimization – Respinning content for enhancing what was written and more
  • Expansion – Taking your content and making it go beyond the first finished piece, iterating on the content
  • Metrics – Measuring the impact of your content

This can be developed into a wider content operations process. 

Let’s dive deeper into each of these facets of the content creation process, to get us thinking about how the model for planning and creating content works within the context of AI for marketing: 

Ideas & Research What’s often overlooked is how important conducting research is to understand what content will resonate with your audience.

There are a number of ways to get insights into your customers and understand their needs better. AI companies have tools that can help you with this, from idea brainstorming to content audits and research tools that give you insights into your customers.

Some tips for conducting online research:

  1. Use keyword research tools to understand what terms your audience is searching for.
  1. Look at competitor websites to see what type of content they are producing and how it is received by their audience.
  1. Use social media to get a pulse on what topics are trending and being talked about by your audience.
  1. Use surveys and polls to directly ask your audience what type of content they would like to see from you.

By conducting research, you can better understand what type of content will resonate with your audience and produce the results you are looking for.

What’s the plan, what do you need to write? AI companies have tools for conducting research from idea brainstorming, to research tools and at a deeper level content audits, and tools for giving insights into customers. 

Let’s look into a few of those earlier pain points and how AI companies would address those issues:  

  • Writers either don’t know how to do research, though it’s more likely that the writer isn’t given enough time, or feel pressured to spend less time researching a topic. 

As a writer, it’s important to be able to research your content effectively in order to produce the best possible results. However, many writers struggle with this aspect of their work, often not knowing where to start or how to go about finding the information they need.

Rebecca Graf from www.writerrebeccagraf.com wrote a great Medium article about the need to research your writing. https://writingcooperative.com/the-need-to-research-your-writing-6864c6b400ce Taking Rebecca’s summary of a list of tips on the benefits of research we can see how those tips apply in the context of AI content research and creation. 

  • Keep a notebook – AI tools can help track your research and help present it in a format that’s easy to use. 
  • Don’t disregard anything – AI tools help a writer identify ideas and topics they might have disregarded. Tools such as heatmaps will identify all of the topics written by the top websites on a topic, including those topics only covered by the leaders. If a couple of websites have top rankings and a topic is only covered then it tells you that topic is important. 
  • Ask Experts – if the input is specific enough a writer can find information using AI content research tools. 
  • Don’t assume – Research doesn’t stop at the beginning of the process, as you work through the workflow and create content, you’ll go back to the AI tools for additional information where you have gaps in your created content. 
  • Use reliable sources – Some of the AI tools provide citation links, again, this is a great method for managing your fact-checking.

Data from Orbit Media shows that bloggers spend 9.5% of their time on research and planning. For most writers, the bulk of their time gets wrapped up in preparing images, editing, and of course, writing.” https://peakfreelance.com/blog/how-to-research/ 

Wow, so does that mean writers only spend 45 minutes researching?  If they do, the shortcut is using some of the AI content generation research tools.

Thankfully, there is help available in the form of AI-powered research tools. These tools can provide writers with ideas and resources for their content, making the research process much easier and more efficient. In this article, we’ll take a look at some of the best AI-powered research tools available, and how they can benefit writers.

There are many AI-powered research tools available to writers. By using these tools, you can make the research process much easier and more efficient, helping you to produce better results.

Learn more about how your content team can help its team improve its idea generation and research stage of the content creation process with AI content writers from AIContentGen’s Scorecard and coaching report on 20 AI content generation tools. 

Brief – The creative brief is at the center of marketing. It’s a planning document that helps a marketer gather their thoughts together on what ad to produce, how to organize an event, or what content to create. There are some problems in the development of briefs for content. They include:  

  • The wrong topics get put into the brief. 
  • The right topics are not always included. 
  • Not sure what the sequence of subtopics should be. 
  • There isn’t any direction on how to place keywords into the content. 
  • Or it’s obvious the writer hasn’t enough background about the topic and when they write the content and topic aren’t covered sufficiently or miss important facts and ideas that should be included.

It happens all too often – a client sends out a brief to several writers, hoping to get the best possible content for their needs. But what happens when the writers don’t actually write to the brief?

Unfortunately, this is a fairly common occurrence. In many cases, the writers simply don’t understand the brief or they misunderstand what the client is looking for. As a result, the content they produce is often not relevant to the needs of the client.

There are a few things that you can do to ensure that your writers actually write to the brief:

  1. Make sure that the brief is clear and concise.
  1. Make sure that the writers have a good understanding of the topic.
  1. Make sure that the writers are familiar with the target audience.
  1. Make sure that the writers understand the purpose of the content.
  1. Make sure that the writers have a clear idea of what is expected of them.

If you take the time to ensure that all of these things are in place, you will find that your writers are much more likely to produce content that is relevant and on target. This, in turn, will result in better results for your business.

There are problems with how briefs are written, these include:

  • Writers that don’t write to the brief 

It’s no secret that a lot of times, the wrong topics get put into the brief. The right topics are not always included. Writers aren’t sure what the sequence of subtopics should be. There isn’t any direction on how to place keywords into the content. It’s obvious sometimes the writer doesn’t have enough background about the topic and when writing they write rather simply or miss important insights that should be included.

AI can help with this by creating a brief that is easy to follow. It can take into account all of the necessary information and create a sequence that is easy to understand. Additionally, ai can help show writers where and how to place keywords in the right places so that they are easily found by readers.

When you are creating a content brief, one of the first things that you need to do is determine what information needs to be included. This can be a difficult task, especially if you are not familiar with the subject matter. However, by using AI, you can easily determine what information needs to be included in the brief.

Once you have determined what information needs to be included, the next step is to determine how this information will be presented. This is where AI comes in handy. By using AI, you can easily determine the best way to present the information in the brief. AI can both help provide the list of topics that should be associated with a piece of content, but also the sequence of headings to write too. This will ensure that the brief is easy to follow and that all the information is presented in a clear and concise manner.

Streamlining The Content Creation Process

To streamline your content creation process, you may want to consider using AI to produce a content brief.

A content brief is an important document that outlines the goals, target audience, key messages, and other essential information for a piece of content.

Creating a content brief can be a time-consuming process. However, AI can help to streamline this process by extracting key information from meeting notes, emails, online research, and other sources. This can save you a considerable amount of time and ensure that your content brief is comprehensive and accurate.

In addition, AI can help you to identify patterns and trends in your industry that could inform your content strategy. For example, if you notice that a lot of your competitors are producing blog posts on a certain topic, you may want to consider writing a blog post on that topic as well.

By using AI to create a content brief, you can save time and ensure that your content strategy is informed by data. This can help you to produce high-quality content that resonates with your audience and achieves your business goals.

Overall, by using AI, you can easily create a brief that is easy to follow, relevant, and to the point.

Writing using AI Content Creation – Tips on how to use AI content writers. What your input is. How do you decide what content tools to use? Learning as you develop content along – an initial input might not produce the results you seek — so the way to get better results is to keep on trying with difficult phrases. 

When you’re looking for a content writing tool, there are many things to consider. What is your input? How do you want the results to look? What kind of learning curve are you willing to accept?

One of the best things about AI content writers is that they can help you develop your content along the way. You might not always get the results you want with your first try, but if you keep trying with different phrases, you’ll eventually get there.

If you’re not sure what kind of tool to use, consider taking a look at some of the options on our site. We’ve got a variety of different content writing tools that you can use, so you’re sure to find one that fits your needs.

Don’t be afraid to experiment with different tools and approaches. The more you try, the better your results will be. And who knows? You might just surprise yourself with what you’re able to create.

If you’re looking to use AI content writers to help produce the best possible content for your business or website, there are a few things you should keep in mind. First and foremost, it’s important to remember that these tools are designed to assist writers, not replace them. This means that you’ll still need to provide a high level of input in order to get the most out of your content.

That said, there are a few key things you can do to help ensure that your content is of the highest possible quality:

  1. Define your audience and purpose.

Before you start using any AI content writers, it’s important to have a clear understanding of who your target audience is and what you want to achieve with your content. This will help to ensure that the content generated is relevant and engaging for your readers.

  1. Provide quality input.

As mentioned above, AI content writers are designed to assist writers, not replace them. This means that in order for your content to be of the highest possible quality, you’ll need to provide quality input. This includes things like well-written article titles and descriptions, as well as keyword-rich text.

  1. Edit and proofread your content.

Even if you’re using AI content writers to help generate your content, it’s still important to edit and proofread your work before publishing it. This will help to ensure that your content is free of errors and is of the highest possible quality.

By following these tips, you can help to ensure that your content is of the best possible quality when using AI content writers.

Optimization AI can also be used to help you optimize your existing content for better results. There are a number of tools that use AI to analyze your content and offer suggestions for how to improve it. For example, you could use AI content tools for SEO to improve the SEO of your blog posts or use a tool like Grammarly to improve the grammar and clarity of your writing.

If you’re looking for ways to optimize your content and get better results, you may want to consider using AI. There are a number of tools that use AI to analyze your content and offer suggestions for how to improve it. Measure the quality of the content using ai. compare the content against other competitors and use it to make keyword and topic suggestions for SEO.

When it comes to content, AI can be a valuable asset. There are a number of AI-powered tools that can help you analyze your content and make suggestions on how to improve it. This can be helpful in a number of ways, such as measuring the quality of your content, making keyword and topic suggestions for SEO, and comparing your content against that of your competitors. By leveraging AI, you can ensure that your content is the best it can be and that you’re getting the most out of it.

If you want your content to reach its full potential, you need to make sure it’s optimized for search engines. But what does that mean, exactly? And how can you go about doing it?

Fortunately, there’s a tool that can help with both of those things: AI.

Yes, AI can be used to optimize your existing content for better results. Here’s how it works.

When you use AI to analyze your content, it can help you identify which keywords and topics are most important to include in your piece. This, in turn, helps you ensure that your content is more likely to be found by searchers who are looking for information on those topics.

In addition, AI can also help you optimize your content for specific search engines. By analyzing how different search engines work and what kinds of results they tend to favor, AI can help you tweak your content to make it more likely to show up in search engine results pages (SERPs).

So, if you’re looking for a way to improve your content and get better results from your efforts, AI is definitely worth considering. With its help, you can create more targeted, relevant, and search-friendly content that is more likely to reach your audience and achieve your desired results.

Expansion – Making social tools, taking the content you intended, and getting more traction out of it. Blogs into social posts etc. 

As a content creator, you are always looking for ways to get more mileage out of your work. You want your content to reach as many people as possible and to be as valuable as possible.

One way to do this is to use AI to expand and extend the use and value of your content.

For example, you can use AI to take your blog posts and turn them into social media posts. This can help you get more eyeballs on your content and reach a larger audience.

If you are looking for ways to get more out of your content, then using AI is a great way to do it. With AI, you can expand the reach and value of your content, and make sure that you are always at the forefront of the latest trends.

If you’re like most people, you probably have a ton of content sitting around that you’ve never really done anything with. Maybe it’s an old blog post, or a document from a previous job. Whatever the case may be, this content is not reaching its potential to help you grow your marketing efforts.

There is a way to repurpose this old content and turn it into something useful.  Something that could actually help you get more traffic, leads, and customers. And it’s called AI-powered content expansion.

In a nutshell, AI-powered content expansion is the process of taking your existing content and using artificial intelligence to automatically expand it into new, unique pieces. This expanded content can then be used for things like social media posts, blog articles, email newsletters, and even ad campaigns.

Sounds pretty amazing, right?

And the best part is that it’s not nearly as complicated or time-consuming as you might think. In fact, with the right tools, you can have your entire content library expanded in just a few minutes.

So if you’re ready to learn how to use AI-powered content expansion to take your marketing to the next level, read on.

What is AI-Powered Content Expansion?

AI-powered content expansion is the process of taking your existing content and using artificial intelligence to automatically expand it into new, unique pieces.

How Does AI-Powered Content Expansion Work?

At its core, AI-powered content expansion works by taking your existing content and using artificial intelligence to automatically generate new versions of it.

This expanded content can then be used for things like social media posts, blog articles, email newsletters, and even ad campaigns.

The best part is that it’s not nearly as complicated or time-consuming as you might think. In fact, with the right tools, you can have your entire content library expanded in just a few minutes.

How to Use AI-Powered Content Expansion

Now that you know what AI-powered content expansion is and how it works, let’s take a look at how you can use it to grow your business.

  1. Social Media Posts

One of the most popular ways to use AI-generated content is for social media posts.

With AI-powered content expansion, you can take your existing content and use it to create new, unique social media posts. This expanded content can then be used to promote your business on platforms like Facebook, Twitter, and LinkedIn.

  1. Blog Articles

Another great way to use AI-generated content is for blog articles.

If you have a blog, you can use AI-powered content expansion to take your existing content and turn it into new, unique blog posts. This expanded content can then be used to drive traffic back to your website and help you generate leads and customers.

  1. Email Newsletters

Another popular way to use AI-generated content is for email newsletters.

With AI-powered content expansion, you can take your existing content and use it to create new, unique email newsletters. This expanded content can then be used to promote your business and drive traffic back to your website.

  1. Ad Campaigns

Another great way to use AI-generated content is for ad campaigns.

If you’re running paid ads, you can use AI-powered content expansion to take your existing content and turn it into new, unique ad campaigns. This expanded content can then be used to promote your business and drive traffic back to your website.

  1. eBooks

Another popular way to use AI-generated content is for eBooks.

With AI-powered content expansion, you can take your existing content and use it to create new, unique eBooks. This expanded content can then be used to promote your business and drive traffic back to your website.

  1. Graphics

Another visually impactful way to use AI-generated content is for graphics.

If you’re looking to generate leads and customers, you can use AI-powered content expansion to take your existing content and turn it into new, unique graphics. This expanded content can then be used to promote your business and drive traffic back to your website.

MetricsIt’s no secret that artificial intelligence (ai) can be used to help measure and analyze content. In fact, ai can provide some pretty amazing insights into how well your content is performing – and what you can do to improve it.

Here are a few ways you can use ai to measure the success of your content:

  1. Use ai to track engagement metrics.

There are a number of ways to measure engagement, but one of the most important is time on page. This metric tells you how long people stay on a given page before moving on. If your time on page is low, it could be an indication that your content isn’t interesting or relevant to your audience.

There are a number of ways to measure engagement, but one of the most important is time on page. This metric tells you how long people stay on a given page before moving on. If your time on page is low, it could be an indication that your content isn’t interesting or relevant to your audience.

Artificial intelligence can be used to track engagement metrics like time on page. This technology can help you understand how people interact with your content and where they drop off. By using ai to track engagement, you can make sure that your content is relevant and interesting to your audience.

  1. Use ai to analyze sentiment.

Another important metric to track is sentiment. This metric tells you how people feel about your content – whether they love it, hate it, or somewhere in between.

  1. Use ai to help with keyword research.

Keyword research is an important part of any content marketing strategy. After all, you need to make sure you’re using the right keywords if you want your content to be found by people who are searching for it.

Thankfully, there are a number of AI tools out there that can help with keyword research. Frase.io for example, uses ai to help you find the right keywords for your content.

  1. Use ai to track ROI.

Finally, it’s important to track the return on investment (ROI) of your content. After all, you want to make sure that your content is actually bringing in leads and customers.

Artificial intelligence (AI) is increasingly being used by marketers to drive marketing ROI. AI can help identify potential customers, understand customer behavior, and provide insights that can improve marketing campaigns. When used correctly, AI can be a powerful tool for marketers. Here are a few ways that marketers can use AI to drive marketing ROI:

  1. Identify potential customers: AI can help identify potential customers by analyzing data points such as demographics, behaviors, and interests. This information can be used to create targeted marketing campaigns that are more likely to convert.
  1. Understand customer behavior: AI can also be used to understand customer behavior. This information can be used to improve marketing campaigns and better target potential customers.
  1. Provide insights: AI can provide insights that can help marketers improve their campaigns. For example, AI can identify when a customer is most likely to purchase a product or service, what type of messaging is most effective, and which channels are most likely to generate leads.
  1. Generate leads: AI can be used to generate leads by identifying potential customers and understanding their behavior. This information can be used to create targeted marketing campaigns that are more likely to convert.

AI is a powerful tool that can help marketers drive marketing ROI. By using AI to identify potential customers, understand customer behavior, provide insights, automate repetitive tasks, and generate leads, marketers can improve their campaigns and better target their audience. AI Content Generation tools are typically not providing metrics on content currently. That is what impact content has on a client’s website once it’s deployed. But over time we expect that AI content generation tools will help marketers and businesses to understand not just want content, to write, how to produce a brief, and conduct research, but also measure the impact of content once deployed, so that AI can be used to learn from the interaction with customers.

Improving Content With AI

AI can help your content creation process by simplifying tasks, and increasing productivity and efficiency while improving the quality of work.

When writers, think about artificial intelligence (AI) in relation to their own creative processes they often have one reaction: Why would I want an Artificial Intelligence program when there’s good old-fashioned plain human talent available? However, as soon as you start looking at what AIs offer outside traditional narrative writing or even just copywriting for websites then some interesting possibilities spring into view – including increased automation which saves time on repetitive activities. 

Content creation and design have never been easy processes. There are always pain points that marketers face when they’re trying to come up with great content for their brands or clients. With recent developments in artificial intelligence (AI), these advanced technologies can make your life easier while simultaneously increasing the quality of all our written work across multiple platforms – everything from blog posts and web copywriting down to long-form articles or white papers. We reviewed a list of six ways AI might just do precisely those things:

  • Ideas & Research – Understanding what you should write about from your audience’s viewpoint
  • Briefing – What your content needs to meet the needs of your audience
  • Writing – Creating new content with AI
  • Optimization – Respinning content for enhancing what was written and more
  • Expansion – Taking your content and making it go beyond the first finished piece, iterating on the content
  • Metrics – Measuring the impact of your content. 

Artificial Intelligence can be a great help to content creators by simplifying tasks, and increasing productivity and efficiency while improving the quality of work. AIs are increasingly being used in creative industries like copywriting where they offer automation features that save time on repetitive blogging or article writing processes for websites. So, what’s the result of all this? With AI in your content marketing toolkit, you can get more done while maintaining – and even increasing – the quality of your work. 

You’ll still need to provide direction and feedback to the AI tools you use (no machine is a mind reader), but they can take on a lot of the grunt work, leaving you with more time to focus on strategy and high-level tasks. Ready to add AI to your content marketing mix? 

See the AI Content Generation ScoreCard and Analysis

Cover Page AI Contnent Generation Scorecard

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Marketing AI CEO Chats Welcomes Ankur Pandey of Long Shot AI

Marketing AI CEO Chats Welcomes Ankur Pandey of Long Shot AI

Transcript of the podcast:

John (00:03): Welcome to the AI marketing CEO chats podcast with AIContentGen I’m John Cass, one of the co-founders of AIContentGen, and today we’re interviewing Ankur Pandey who is the co-founder of Long Shot.ai. And he’ll be talking about how his company is providing content solutions for content marketing teams and strategy welcome an Ankur. How are you doing?

Ankur (00:38): I’m great. Thanks, John. Thanks for having me.

John (00:41): So I know that we share a distant passion on mountains. I know that you sort of worked in you’ve done some things in the past in mountain airing and skiing and so forth. Do you still have that passion?

Ankur (01:00): Yeah, I mean, not skiing. Yes. Skiing, rock climbing and you know, things like those. Yeah. So I definitely used to have a bit more than in, my you know, prior to entrepreneurship days, somewhat lesser now. But I think that’s part of the life maybe who knows, like, you know, I can definitely go back to it someday.

John (01:21): Yes. Say same here. When I lived in California and, and, and Seattle Washington state, I was always up in the mountains <laugh> but, but now I’ve got a family and everything it’s a little bit harder, so I’m probably on the same place with you. <Laugh> well let’s get into some of these questions then. So, you know, tell me a little bit about your AI marketing journey.

Ankur (01:45): Great. So you know, my back background in AI has been pretty technical starting from my education days to you know, the kind of jobs I had had where mostly, you know, in the realms of data science, machine learning AI since about a decade. So I have had an opportunity to venture into various aspects of, you know, like the, the fashion keeps changing, but then more or less, I, I would, I tend to see data science, machine learning, AI, the part of the big spectrum. So I had various roles of, I had a lot of technical background and experience in those, but I also had in this article and would also, you know, wonder about how can we leverage AI to deal with that now, specifically when it comes to content AI you know, which largely which involves, you know, a lot to do with natural language crossing, I’ve been fortunate enough to have some hands on training in those things.

Ankur (02:40): So it was natural for me and my team to explore that, oh, you know, what, what kind of cool things can be done? Why? So it is, my background has been AI first. I was not a marketer as a you know, by training, but this is something I picked up. We, by working with clients, we realized that the, they, you know, the existing, there could be possibilities of solution, which are much better than the kind of things they were doing. So, you know even before Long Shot, the kind of products we had developed or had the clients with made us again really in depth, understanding of the marketing word in general. And then, you know, as, as the startups tend to do we learn on the go everyday learning. And I believe that I learn something today,

John (03:27):Well, as a marketer Ankur you know, it’s always good to listen to those clients and, and hear what the triggers are and the problems are, and then, and then address them. So that’s always a great path. Tell, you know, tell us a little bit about what your software does in this space.

Ankur (03:47): Sure. So Long Shot.ai is basically a platform to research generating optimized content, and we focus a lot on long form content. So what I really mean is that you know, the problems with the writing content is generally people. And specifically, when you are writing content as a marketer, you want to do something with this. You’re not writing as a hobby or a, or a fiction writer, right? You there, you have an audience in mind. So, and, and there’s a lot of content out there. So, I mean, think of a typical content marketer, content, strategist even like, you know, somebody who’s writing themselves, they would do tend to do some research, then they’ll take their notes and then they’ll write something they would know inherently intuitively what kind of things should click and then they’ll do as the optimization and what will click with readers.

Ankur (04:41): So we decided, we thought that why can’t it be done in you know, like in one platform as like, you know, in, in a simpler fashion what ha used to, we used to realize that existing solutions that kind of scattered. So we wanted to weed them together and always emphasize more on the simplicity aspects. So while we, there are, there could be some extremely technical type of, or you know long winded approaches to optimizing issue. Our focus of the focus of long short as a platform today is to have like a four step process how to do, how to research your content, then generate something and then see if it is fit for you. So this is, this is the current sort of avatar of what we are doing long short.

John (05:31): Well, that makes a lot of sense to me a, as a content designer and content strategist. The biggest question I always have with my clients is you know, what content should we produce <laugh>. And so that research is really important. Definitely. what, what would you say is the, the strength of the software? You know, you talked about those four aspects, you know?

Ankur (05:59): Right. So, I mean, I would say that the strength lies mostly on intersection between the second and the third part that it can generate. I mean, while research can have a lot of meaning for a lot of clients or a lot of different types of users the focus or rather current USB, I would say, is how it generates while at the same time? Not you know, you know, like not trying to kind of clutter in the keyword. So one of the things which we often notice in content marketing, making marketers, make the mistake is they do some kind of keyword. Interesting. So that is what we avoid, really. We try to make it organic and, and another us P five to put it that way is that we also are very vigilant that the content should be as fresh as fact checked as possible.

Ankur (06:52): So, I mean this is, you know, I’m sure that our audience knows this already, and I’m sure that we’ll touch upon it more in the, in few minutes. But one of the issues, while AI content is, has a lot of you-know qualities to it. One of the issue where it kind of F is sometime it produce nonsensical type of content. So we are very vigilant in how we can kind of it, how we can at least minimize it, or we can be very clear about the user that, you know, this is the part where you should kind of deep dive, check it a bit more. So, before even you me not even ask this, but I would just say that this is a software which has to be, this is not like a plugin place software. You cannot just like rely on it 10%. This is never our goal, and this is not going to be ever go. The idea is that this is a tool in a content marketers in a content writer, in a content strategist hand, which can guide them. It’s like, you have some ideas in mind, but it, it kind of, you know, whatever you would’ve done in, maybe, I don’t know, like two days doing a couple of arts, right. So that’s our hope.

John (07:55): I love that. Ankur, I think you did a wonderful job there explaining you know, what your tool does, but for the whole industry as well. I think you’re making a great point there, which is it has to have that, that expert, the marketer, the writer, to be able to run things. So makes a lot of sense to me. And, you made a great point, I think, on, on the quality, you know, how, how you helping, you know, just to improve the quality of content. So I’ve got a couple of quick fire questions for you to sort of go through the whole process of you know, content development and content strategy through AI content generation. So you know, what’s you know, how do you support your clients strategy in the following areas say ideas and research specifically?

Ankur (08:45): Hmm. Yeah. So often the clients we have they, they definitely have some of the niche they already write, or, you know, some of the area, some of the niche of the clients they’re serving, right. So what we do is that we kind of fire up the kind like within a given topic, within a given niche, we fire up the kind of things you should, they should focus more on. So let’s say you are going to write something on Tesla, electric vehicles. This is, you know, this, right. This has been a requirement given to you as a company, or, you know, as somebody who’s providing consulting to their own clients right now. But, but what exactly is popular here? What is, what are people searching for, what they’re asking and then what you should focus on so that you know, your content’s very full-fledged.

Ankur (09:35): So, you know, I mean, there has been lot of, kind of, you know, chatter about that like what is good content and what is a helpful content? And we’ll probably touch upon that. But our approach to it is that you should write content, which people are looking for, which people would want to read about your specific niche. That is so we give you all those indicators, right? We have a facility where you can, let’s say, you know, let’s say you are a big content team and maybe your work is scattered. So you can create an amazing content brief using Long Shot  and pass on to others who can collaboratively edit it. They can give their own inputs, edit it out and stuff like that, all with the power of AI. Right. So when I say I edit it like I’m, I have created a content draft, let’s say, right.

Ankur (10:23): And my teammate can, you know, chip in and then they can, let’s say, you know create a few paragraphs based on their understanding, right? So, so it’s like, they, this is something which in, in, in some form of fashion was already done, right. Was, was already something which people were doing in collaboratively, but we make it 10 X fast. We make it 10 X fast. And with the power of a, I also give you, keep on giving you ideas. So you are never blocked. Really. So, I mean, I, I, I remember a case when somebody told me that they wanted to write a piece and they were stuck on it for three months and they could finish in a day. Right. And this, these kind of things are, you know, big, big, I mean, you know, I, I don’t even want to translate into what is the revenue and those kind of metrics, but these are some personal win, really, I think like that, right. That some who was stuck at the piece and we are kind of, you know, somehow not following through could kind of, we could Delete them and they could eventually finish up.

John (11:23): So, yeah, Ankur you’re reminding me of a, a past client who is in the legal field that literally took three months to write a blog post <laugh>. Yeah. So it’s, it’s kind of, so that, that certainly does

Ankur (11:33): Speak of legal. Yeah. Just, just like, just a note here. So speaking of legal, like one of our one of our user is a law professor in Texas. And he has, he, he just told me that he has written a book using our software. Right. Wow. And the great, the great thing about it that this book is fetching him a lot of clients, right. A lot of consult for consulting services. So this is how we, these are the kind of examples how we offer our, you know, help.

John (12:01): Well, that’s great. That’s great. And I think you, you know, you did an excellent job of pointing out that, you know, it’s, it, it’s that unknown, you know, it’s the unknowns and, and the ideas and the research can, can help cover that so that the market, or the writer knows that they’re, they’re doing that. You touch the brief you touch the covered this, which was briefing. What about briefing? I think you said drafts. So you know, how do you structure those that briefing those briefing tools,

Ankur (12:30): Right. Sure. So, so the idea is that, you know, what we notice is that, you know, content industry tend to go in a, have a, have a structure, which we respect, and we think it’s great. So we have also tried to you know, capture those essence in our product. Now, what I mean is this, so typically when you set out to write a content piece, you would from your idea to you, you would first do some kind of content research. And then you first, before actually writing the whole piece, you will first have a content brief. At this point, you can finish it yourself. You can, you know, invite collaborators, reviewers, etcetera. So a lot of times our clients would use these briefs which they can share or add their team members, and then they can collaboratively develop it. So the brief is basically a way of saying that, oh, you know, I have this article outline ready.

Ankur (13:21): I know this is my article headline. These are my, you know, like sub-headlines, these are the kind of things I would like to say. But why I’m not really finished the 2000 word articles, but here are some couple of hundred, three, 400 words, which I have finished. And this will give you a brief idea to anybody in their team that what is to be written, right? So this is this sort of intermediate step in the content writing journey is traditionally in the content marketing pile, land term as a content brief. And you know, like so therefore we do not you know, just so that somebody’s may have misunderstood it. We do not tend to create a create like a content in one shot. Although, you know, there is a shot in the name, but the idea is that you have to go step by step. And the reason is that this has been a tried and tested process, and this is ensure not just high quality content, but also something which has been actually developed by over the years or the really by, you know, content writers. So we products great to also emulate that very thing in our product.

John (14:28): So you’ve touched on the next area, which is in the process, I think, which is AI content generation. And I, I think I, I, I pick out there sort of a tip there, which is that you’re not generating it all at one, you know, one at one time, but it’s, it’s done perhaps in sections, right? Yes. And that, I mean, to me, that’s like the biggest, that’s the biggest learning you get from using these tools, which is, don’t think it’s all going to happen at once. So but tell me more, you know, how do you, how do you address that point or any other S

Ankur (15:02): So this is a question you know, I’ve been asked a lot and I, we have also, as a team dealt really deeply on, on this one, the, the, I would say the crisp best answer I could offer is this. So think you are a content team already. Would you rather write an article on one go, you would not really like, you know, sit down and write everything in one shot, right? Could you, I mean, the idea is that you, you would go in an high fashion, you would’ve some idea, then you’ll create a structure. And then you’ll like, okay, I have all these sections, and this is the bigger, and the more complex, and the more demanding article is which most of our users tend to write. The more important for a team is to follow this very structure. So, so like, it’s not even, it’s not even a choice for us.

Ankur (15:46): It’s basically, this is how this is the order in which a content should be written, especially a long form content should be written. You have to create various sections. They need to see what makes sense in this. What does not make sense in this and other is, you know, speaking from a slightly technical angle, even if you let’s say, you know I mean, without naming, I mean, there might be, you might find some solutions which might offer you, you know, audacious solutions, like, you know, one short full block post, but we have seen those never working at all because you know, you’ll, it, it’s just rarity that you’ll, you know, see a meaningful point because it’s like, if you are generating the whole article from the cube, how does it even make sense? You are just, it’s like, you are not even leashing the content.

Ankur (16:33): You have to have some checks and downs, you have to guide the content. So, but the only thing which long shot is doing, it’s doing it like really, really fast, because you are never stuck. It is always presenting with the lots of information to fill everywhere at the same time. It is fact checking, checking for plagiarism, checking for D checking for your own tones also at times that, oh, is it something which you would’ve, it might be correct information, but would you write, would you as a write it? So we also we also, we have also noticed that lots of our users also IISE on that their tonality or their way of writing should be present. So I think a good long form article, and specifically when it is written for the web by the marketers should have all those qualities. So by the way, I mean, I’m not suggesting that we are like the perfect solution and, you know, we have kind of checked all the boxes, but this is the direction we are going in. And I think to it, to, to, to, to a decent extent, we have covered many of these points.

John (17:34): I, I, I love that. Ankur, I, I think you’ve made a wonderful point there about you know, it’s an incremental process and mm-hmm, <affirmative>, you know, when writers and marketers are, are putting that process together outside of AI content, that’s, that’s how they do it. They do it incrementally, you know, they’re doing research and they add more to the brief and then they may write some content and it isn’t complete. And they realize they have to put more in, but these tools, they help to speed that whole process up. So, you know, you can concentrate on really improving the content, even though it is in, in different sections. So I, I, I think you did a great job of explaining how that works. And, and, and I, I, I think that framework really helps right with the writers and the marketers, knowing how to use the tools, if, if they understand how it works.

Ankur (18:24): So speaking of frameworks you know, I would also offer that we have noticed that, oh, in the journey, this is relatively recent development. So in the journey of, you know, constantly creating this product, we realize that different types of long form content tend to have at least slightly different structure. So for example, somebody’s, who’s writing a product review would have slightly different structure to it. Let’s say somebody who is writing you know something else, let’s say somebody who’s writing a content for the video, let’s say, you know, a video script, right? So therefore those have to be dealt a bit differently. So we support it by offering what we refer to as recipes. We have a lots of recipes where we kind of, you know, suggest users that depending on what you intend to write you should follow these things.

Ankur (19:13): And this is the structure, which is fit for such a type of. So, I mean, like the thing is that when we develop something, then with the feedback, the users and all the, the content community, which we are always listening to a learning from, we try to answer. And you know, so it’s not like we have, we know everything and we are developing the product. We have developed the record for the content, what to use it. No, it’s like, in some sense, I see this as this whole sort of era is a great sort of, you know, coming together of AI tech and content wherein collaboratively, collaboratively, you know, people learn from each other and then they adopt, right? So this is precisely where our sort of expectation and our vision with the product is,

John (19:58): Well, that’s a great point about the recipes and, and how you have different structures within depending upon the type of content, you know, I can, I can think of product descriptions and yeah. And having to, you know, work with an eCommerce provided where they’ve got 10,000 products and you have to produce it. I think AI content generation is a, you know, a superb tool for that. So I think you’ve touched there on my, my term of expansion, which could either be a recipe or it might be taking an existing piece of long form content and doing something else with it. How do you, how do you address that area expansion?

Ankur (20:38): So you’re saying that you have an existing piece of content you would like to expand it, right? This is, yeah. Yeah. Okay. Yeah. So, I mean, this is, this is also, a common use case we observe. So, and this is like, this happens a lot when like few of our users who, I mean, who have already written tons of content. Right. but they have to freshen up their older content because they’re more data. And then they want to sort of, you know, think, see that are there opportunities to make it even better. Right. So, and they do not want to throw away the entire thing, because of course that has been a labor of love. And that, that has been really good, our, our content already. So, so this is very natural to our workflow when it comes to long short what you do is you just upload our copy paste, your existing content, and then what we do, and depending on the type of content, as I said, like, you know, the recipe still holds because your content would follow most more, more, most of the time in one of these buckets, we have a tons of recipes, really.

Ankur (21:33): So the thing is that you can start anywhere really like, depends. Like for example, you have an article today all you want to see is that, are, is it like, you know, first typical workflows that you would like to see that is this plagiarism free, or, or if that’s the case, then are there some factual inequities to it? So we tend to first provide all those checks and balances. Then we’d see that depending on what today is being searched, what the audience of this, your current article might have been written, let’s say, you know, a year back, but today’s, people are searching a bit different thing right. In your niche. So we offer keywords and phrases and questions, suggestions, which your article should follow for, for it to be relevant today. So, and then you can tweak your content accordingly. So which reminds me that one of the thing, one of the approaches, which is slightly opinionated also we take is instead of relying heavily on, you know, key that you should use this keyword here, we tend to really focus on is your content answering what people are asking.

Ankur (22:37): So it kind of encompasses all the things, just like a, it’s like a meta view of looking at things rather than a very keyword centric. We are looking at things. So what we really do is, but if you have a piece of content, I mean, if your content is really answering what people are looking for, and we have a mean to sort of discover that using some scores you have a very direct view of it, right? You do not have to actually go in circles in the sense that, oh why should I use this keyword? Should I use this keyword in one or two? So what we have done is we have simplified all those process and said if your content is really asking those things, it is good. Really it’s, it’s good. And, and, and as SU community would be aware that such and Google’s Google and, you know, predominant, which is a predominant search engine is actually moving in that very direction. They have released helpful content update, which actually suggests that if you, if it is a people first content, if it is actually looked answering the intent, that is what is important really. Right. So that makes a lot of sense, actually, slightly more than you asked, but oh,

John (23:45): No worries. No worries. I think it’s; I think it’s all good. And Ankur I really, you know, get that point as an SEO. I mean, I think, you know, Google for so many years now has been thinking more about the topic than it has keywords and yeah. When you think about topic, it’s, it’s the comprehensiveness. So actually answering the questions you make that, you know, you make that excellent point and is it, is it really covering it and, and is it competitive and it does it have the quality there? So I think that makes perfect sense to me. So you, you covered some of those aspects of expansion and then also optimization, but what about metrics, you know actually measuring you know, how do you, how does the tool or help with that aspect of it?

Ankur (24:29):Right. So before answering this question, so like, first of all, in the SU or the content optimization word, there are lots of metrics like many are technical metrics, for example which, which has to do with the website speed and stuff like that. So as a product, we focus more on content, not things like, you know, because this is, oh, yeah. So, so we, we, of course like, you know, your issue eventually be dependent on all those things also. And we are not, I mean, by no mean kind of, you know, shying away from that, but when it comes to you know, expos and metrics in context of long short, we really mean content your score. Right. And the, so we have like, you know, way of measuring readability, I just mentioned semantic your content, your score, that, how much is your you know, how much out of the high intent queries, high intent, the keywords your content is actually answering.

Ankur (25:25): We also give you based on that, you know, what are the, like, based on your competition, based on the, you have written how, where do you, does your content stand and then you know, various other things like plagiarism, which I already touched upon and we also offer, so instead of just saying a very qualitative answer to it, we actually give you a score because score is something which you can actually understand, right? And then you can try to say, oh, I should kind of reach this score, not just that score. We also give you the competition score because your score might be good or bad, but it is good or bad only in comparison with your, whoever is doing good, right. In, in whatever you have written. So we have all those things. There are of course, you know, revisions every day.

Ankur (26:08): Like sometimes people say, oh, you know, maybe this score can be tweaked, but so, you know, tomorrow, if you let’s say, if somebody’s listening to it a few weeks from now it’s definitely possible that some of these metrics have been tweaked changed upgraded because you know, the product is not you know, kind of stuck somewhere, right. Evolving every day. Just to give you a point of there’s a lot of questions we are asked about the helpful content update. So we are just releasing a feature next week, which, which is like a checklist type of feature that, oh, if you have all these checklists, you are good to go, you know, in eyes of Google, especially with, with respect to this helpful content update you are sorted and not just that you don’t even have to use our whole product.

Ankur (26:52): Like if you might have generated a content elsewhere, you can just paste it here. And then you can just see that is your content in, you know, sort of in accordance with the latest U updates. Right. So I think, and we are actually releasing it next week for free. So this is a tool which anybody can use for free. So just to shout out there, because the idea here is that we are not like an AI generator tool, to be honest, just to kind of, just to be very clear because we are generating content to be meaningful, to be helpful. And for primarily for marketers, because it already encompasses that when marketers write something, they are writing for an audience, right. So this is our primary goal.

John (27:38): That makes a lot of sense. I really like that point that you made about quality of the content. I think that makes a lot of sense and how the tool is, is helping writers and marketers to produce you know, that sort of better quality content by, by using the metrics, trying to figure out what you need to put in there and what isn’t in there as it as it is. So one, one last question, you know, what’s the one thing that most people believe is true about AI content generation but that you think actually isn’t true. So

Ankur (28:25): <Laugh>, yeah, sure. So, I mean, I think, I mean, there, there are lots of misconceptions, but the most important these days is that AI content is bad in the eyes of Google. So, I mean, first of all, this is falls for us. We, our own content is produced by AI and all of our clients, and also like other people who use AI content, the idea is how you’re using it. And I would even, you know, say that Google itself produced tons of content, any, but like, for example, you might have noticed so the meta descriptions Google would rewrite them right. Often because, you know, in order to be slightly different, more meaningful, whatever their thoughts are, they would so there are, there is no it’s not to say that AI content is bad. It’s the idea is how you use, of course, if you are using something like what, what the blackhead, your folks used to do that infest keywords in older days, right?

Ankur (29:19): And sometimes it’ll pass through these, your filters and also rank kind, remember, you know, 2000 early, 2000 and, you know, late 2000, 2010, and something around that, you would see blog posts, which have completely non thing, and they would rank high. So I think we have come a long way since then. So if you are trying to kind of game Google, really, you know, then it is not going to cut out. So AI content is not bad. I mean, of course, you know, you it’s like, I mean, when I say this I don’t want to kind of push this too much because of course I have a vested interest and I acknowledge it. But the idea that you can see for yourself really, right. I mean we, our self-produced tons of content for our own product and like all of our client and so other product people. So make sure, so, you know, just the idea here is that I think I completely disagree with it, that AI content means that it is not going to be, it is going to be penalized by Google that is completely false, and that Isly false. And now that the Google helpful content update has actually gone live, I can say it with even more confidence. Right. So we are seeing completely optics all the, all the day. Right. So

John (30:33): Ankur, I think you make a great point there. And I’ve been doing SEO for 20 years and as long as the contents that’s produced, whether it’s, you know, human generated completely or AI generated, which means that there’s a human involved <laugh>. Yeah. And you know, they’re stitching the content together. They make sure it’s good, they’re making sure it isn’t, you know, duplicate content and that the style makes sense and the quality’s good and, and all those factors then how, how is Google going to be able to tell now if there are grammatical issues in the particular language that it’s in and it’s repeating stuff yes. Then I think Google’s going to find it, but it, it found that type of content before, you know, you mentioned back to 2005 to 2010. Exactly. You know, that the content was terrible, but Google wasn’t doing a good job. That’s why they were getting criticized so much. And, and, and Bing was actually starting to beat Google, but then, you know, the founders came back from working on that Android operating system. And, and we’ve had 12 years of better content quality. And so it’s, it’s been a cool process. So

Ankur (31:45): I also sometimes say this, you know think of a product, a big popular product. I’m, I’m sure everybody who has written content, as you would know, and maybe used it Grammarly. Right. now, so I would say like Grammarly also sometimes rephrases things. It is also AI power. Is it like that? Of course not. I mean, I would even say Grammarly is a tool which has empowered a lot of people who might not have a lot of, I mean, who might not be grammatically gifted to, you know, kind of overcome that issue and just have like, you know, whatever great ideas they have can kind of come alive. Right. And I think we are nothing but Grammarly 2.0, if you can call it that. Right. So I think we are in the, we are doing exactly the same thing. I mean, I’m, I’m not, I’m not pretending to speak to, to imply that of course there might be sometimes people who kind of overstep and try to use it, or even create products you know, to, to create blogs on the fly in one shot and things like that. Right. So I’m therefore not trying to speak on everybody’s behalf, at least from my perspective and at least the decent products, which I think even in the realm where I operate follow all those guidelines, because this is the long way to go.

John (33:02): Right. Cool. This is wonderful. Thank you. What, a great job you did today in the, in the podcast. I want to thank you for joining us on the AI marketing CEO chats podcast. Thank you.

Ankur (33:13): Thanks, John. And it was an engaging discussion and completely enjoyed it.

John (33:17): Great. great. And so thank you everybody to the audience, and we’ll see you next time.

 

 

 

 

 

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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See the AI Content Generation ScoreCard and Analysis

Cover Page AI Contnent Generation Scorecard

Take Me to the report!  (Click)

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!

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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.

See the AI Content Generation ScoreCard and Analysis

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