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.

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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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AI Coding Engine & Content Generators: Comparing how the two uses of AI are very similar: Humans Needed!

AI Coding Engine & Content Generators: Comparing how the two uses of AI are very similar: Humans Needed!

AI Coding Engine & Content Generators: Comparing how the two uses of AI are very similar: Humans Needed!

A recent announcement about artificial intelligence (AI) code writing software resonated deeply because it parallels questions regarding AI content writing software. DeepMind Announced AlphaCode, an AI engine for writing computer programs, achieved “an estimated rank within the top 54% of participants in programming competitions by solving new problems that require a combination of critical thinking, logic, algorithms, coding, and natural language understanding.” DeepMind created a series of tests to determine how successfully their AlphaEngine was developing code. 

 DeepMind Technologies is a UK-based subsidiary of Alphabet, purchased by Google in 2014. There are more ai coding engines; another example is Codex from OpenAI. 

 The AI content writing market is not the same as the AI coding software market. Yet, AIContentGen has researched AI content generation tools, which use NLP (Naural Language Processing) for text creation, and seen over 70 of them in the marketplace, and we’ve reviewed over 20 tools. Each of the AI tools examined required human intervention. 

 Examples where artificial intelligence (AI) generated content requires human intervention include:

  • Homonyms – Where one topic has multiple meanings, the AI content generator produces content for the two different meanings.  
  • Repetitions – Language models make “silly mistakes,” repeating the same concept multiple times. 
  • Conclusions – When the nuance of the meaning was different from what was conceived, or factual errors were generated. 

AlphaCode develops thousands of code samples then tests that code to see which code is working. For comparison, several AI content writers provide alternative results; a writer can choose the version they prefer. Other AI writers measure the results of each ranking them, a higher score indicates better results. Again, the writer chooses their desired content from the ranked choices. 

An AI coding engine may produce workable code, but the decision as to what functions the code performs requires human decision-making. A significant benefit of many AI content writers’ ability to provide research and writing tools is their ability to help speed up determining what needs to be written. However, the starting point for any content creation project is deciding on the purpose of the content and creating a piece that has the most relevant information and topics that the content needs to be most useful. Writers begin the process of writing. The same potential exists for AI coding engines for programming. Like AI writing software, AI coding engines can support programmers by making them more efficient, making it easier to develop a structure for their applications, and speed the coding process.  

Programmers are still at the helm, as writers are with AI content writers. AI coding engines speed the coding process and bring aid and support to programmers. It means even more job security for writers because they will have access to the expertise needed to use and get the most out of artificial intelligence (AI) writing tools for the next few years. To learn more about how to deploy and get the most out of AI content writers, download the AIContentGen Scorecard. And check out the free sample of the report. 

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Best AI Content Writer

Best AI Content Writer

Best AI Content Writer Tools

In 2022, there are a lot of AI content writer tool companies. As teams puzzle over various AI tools, the question becomes: Which vendor is the best AI writing software to use? It depends on what a business needs its AI writing software to do. Essentially what types of content are needed, and does the AI writer generate such content? 

How does AI content writing work? 

AI Content writing creates text-based upon two factors, one, on information provided by users, and two, the software mimics natural language. It can be trained on how to structure content by different types of content, voices, and writing styles. Content can be developed for different types of content, including; landing pages, blog posts, social media posts, headlines, ads, PR pitches, love letters, role-playing games, PPC, etc. 

Next, let’s talk about artificial intelligence (AI).

What Is Artificial Intelligence (AI)?

Artificial intelligence (AI) is an umbrella term used to describe computer systems designed to perform tasks normally associated with human thinking. These tasks include speech recognition, translation, image processing, natural language understanding, machine learning, reasoning, planning, knowledge representation, etc.

There are many different types of AI technologies today, including:

  • Deep Learning – A deep learning system uses layers of algorithms to process data. Deep learning can be used for object detection, facial recognition, speech recognition, and many more applications.
  • Speech Recognition – Speech recognition programs allow computers to listen to people speak and translate their words into text.
  • Text-to-Speech – Text-to-speech technology allows computers to read aloud text. This is useful if you want to create audio versions of web pages or documents.
  • Virtual Assistants – Virtual assistants are programs that help humans complete everyday tasks such as booking travel arrangements, scheduling appointments, ordering food, and much more.
  • Machine Learning – Machine learning works by training a program using examples of how something should work. Once trained, the program can then use those same lessons to predict what will happen in new situations.
  • Natural Language Processing – Natural language processing allows machines to understand and interpret human languages. It can also generate text based on information provided by users.

We better understand AI, but are there different types of AI generations content? 

For which type of content is the AI writing assistant needed?

Many AI content companies create content using machine language for long-form generated content. That’s a popular go-to-market strategy for AI writing tools. It’s a level of technical ability to create content for blogs up to 3,000 words long, but another to create optimized content for landing pages. The type of writing and how concise the content is the determining factor for landing page content.

There are a lot of AI content generation tools, and one reason for the increase in AI companies has been the platform developed by OpenAI, with the company’s development of the GPT-3 language model. The initiative started a rush to develop AI writing software in the last two years, as AIcontentGen’s AI Content Generation Market Map indicates. 

The market map shows that 18 new vendors entered the market in 2020 and 13 new vendors in 2021.

Many content creation companies generate long-form content. So there’s quite a bit of competition in the market. 

When choosing between different AI content writer tools, select one that works well for the most preferred types of content. There isn’t just one best AI content writer tool; instead, a number may be better for different types of content generation. Here’s a list of types of content AI companies write:

  • Long-form content
  • PPC ads
  • Ad banners
  • Headlines
  • Social media posts
  • Blog posts
  • PR pitches
  • Messaging statements

Quality of Content In AI Writing Software

Reviewing the breadth of AI content writing tools, different companies will generate various qualities of content. Some generate duplicate content, some with incorrect facts, and some generate content that isn’t relevant to the topic a writer is producing. There are more complexities in producing long-form content across different topics than creating content for banner ads, where the content is restricted by the amount of content produced. Have consideration for the quality of the content, but also be aware that without human intervention, we are still a way to go before AI content is not edited. 

The price you pay for ai content writing tools can be an indicator of the quality of the content. Some of the free or inexpensive tools generate subpar copy or, in some cases, are unusable. Always be careful when producing AI content, and review the quality of the content. 

Mergers & Acquisitions in the AI Content Writing Tool Market

There has already been some consolidation in the industry. We’re starting to see AI startups buying up other AI startups. A technology vendor is purchasing an AI content generation company to develop AI content for their specific preferred type of content. Hootsuite purchased an AI conversational vendor, and Unbounce purchased snazzy.ai to develop Smart Copy as part of creating an AI solution for Unbounce’s list of services and expertise in landing pages. Unbounce is one of the most important competitors for landing page creation. Still, these companies recognize that it is crucial to integrate such technology into their capabilities. The acquisition by Unbounce was a shrewd move on their part, and we can anticipate seeing more M&A deals for innovation and AI technology similar to this one in the future.

List of AI Writing Software

Choosing an AI content generation vendor is dependent not only on what type of content a company produces. There are a lot of options for vendors. We’ve developed an extensive list of the AI content generation vendors with links here from our AI content generation tool list. 

AdZisapp https://app.adzis.com/
Ai Writer https://ai-writer.com/
Anyword https://anyword.com/
Article Insights https://articleinsights.com/
ArticleBuilder https://articlebuilder.net/order/
Articleforge https://www.articleforge.com/pricing
Articoolo http://articoolo.com/
Automated Insights/Wordsmith https://automatedinsights.com/
Broca https://www.usebroca.com/
ClosersCopy https://www.closerscopy.com/
Contentbot.ai https://contentbot.ai/
Contents https://contents.com/en/nlg
Conto AI https://www.conto.ai/
Copy.ai https://www.copy.ai/
CopyMonkey https://copymonkey.ai/
Copysmith https://copysmith.ai/
Crawlq.ai https://crawlq.ai/
Frase https://www.frase.io/
Genei https://www.genei.io/
Growthbar https://growthbarseo.com/
Hyperwrite http://hyperwrite.com/
Inkforall https://inkforall.com/
Jasper (formerly Jarvis) https://www.jasper.ai/
Kafkai https://kafkai.com/
Katteb https://katteb.com/en/
Longshot https://www.longshot.ai/
MarketMuze https://www.marketmuse.com/
NeuralText https://www.neuraltext.com/
neuroflash https://neuroflash.com/
Nichesss https://nichesss.com/
Outranking https://www.outranking.io/
Pepper Type https://www.peppertype.ai/
Persado https://www.persado.com/
Pluralytics https://pluralytics.com/
Qopywriter.ai https://qopywriter.ai/
Rad Ai ttps://www.radintel.ai/?hsLang=en
Runway ML https://runwayml.com/
Rytr https://rytr.me/
Sassbook https://sassbook.com/ai-writer
ScaleNut https://www.scalenut.com/
SEO Content Machine https://seocontentmachine.com/
Shortly AI https://shortlyai.com/
Smart Copy https://unbounce.com/product/smart-copy/
Surfer SEO https://surferseo.com/
ThunderContent https://thundercontent.com/
Topic https://www.usetopic.com/?fpr=findnewai
United Robots unitedrobots.ai
Usetopic https://www.usetopic.com/
Vestorly https://www.vestorly.com/
Word AI https://wordai.com/
Word Hero https://wordhero.co/
Write Sonic https://writesonic.com/
Zyro AI Writer  https://zyro.com/ai/content-generator

This is a long list. It can be overwhelming to review. How do you know which one to choose? 

Well, AIContentGen is a firm of analysts, and the team went through the process of analyzing many of the vendors in the marketplace and developing our first analyst report that reviews 20 of the vendors in the market. You can use the AI Content Generation Scorecard and Analysis to choose which AI writing software you’ll need to select. The report covers some essential topics for companies looking to select an AI content generation tool. 

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It’s important to keep in mind that the best AI content writing tools may depend upon what your business needs are and what types of content you need to generate.

 

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AI Market Growth Predictions for AI Content Generation in 2022

AI Market Growth Predictions for AI Content Generation in 2022

The AI market growth for content generation is rapidly evolving. One indicator for that growth is the increase in the number of companies in the artificial intelligence industry. To prepare AIContentGen’s report AI Content Generation Scorecard over 50 AI writing software companies were reviewed, eventually choosing 20 companies to include in the scorecard.

How fast is the AI market for copywriting software
growing?

50 companies! Holy Bleep!

That was my reaction as a practicing marketer when Scott Sweeney and I discovered how many companies were in the market for AI copywriting. Every fast-growing market has an initial phase of explosive growth followed by a longer period of slower but steady expansion. In his book “Crossing the Chasm”, Geoffrey Moore describes the early stage of new technology adoption by describing an innovation curve where there were several stages for any new product or service before becoming mainstream. 

Most large organizations have customer relationship management (CRM) systems; for example, salesforce has over 150,000 customers! Multiply that by the number of companies using Salesforce, Microsoft Dynamics 365, Oracle Eloqua, HubSpot, Marketo, Piped. For CRM systems there are barriers to entry for new software companies and the use of the technology. While for the AI content generation market — where the barrier to entry is low enough so that anyone could potentially use the software — there’s the possibility of hundreds of thousands of customers using such software. 

We created the AI Content Gen­eration Market Map because we want to help you understand where content generation technology stands today. The size of the potential market was enough to give us pause, but there was another thought that came into play — one that made us realize that we needed to rethink how we approach our client’s content creation processes. If internal terms don’t take advantage of these opportunities, they would be at a competitive disadvantage.

From looking at the Google Trends volume over time for some specific AI writer-related keywords, we see that their use has gone up quite considerably in recent years. In fact, the U.S. isn’t even leading when looking up keywords such as “ai writer,” “ai copywriting,” and “ai writing.”

Google Trends on AI terms for the last five years

Google Trends Volume for the Last Five Years

AI Google Searches by region past five years

The United States isn’t even the leading country for searches on terms

 

 

 

 

 

 

AIContentGen 2021 AI Content Generation Market Map

Click to View a PDF with links to the AI Content Generation Vendors:

AI Content Gen Market Map 2021 Landscape   

AI Content Gen Market Map-2021 -Portrait

We created an AI content generation market map showing the growing number of companies entering the space. Over half of the 50+ companies started within the past 2 years were founded between 2020 and 2021.

The rise in the founding of AI content generation companies has happened because the technological barriers to starting an AI content generation company have dropped because of the introduction of GPT-3 by OpenAI in June 2020. And the pace of development in large language models has only increased. 

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