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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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.

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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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