Sep 14, 2022

Top 9 Benefits of AI Content Marketing Explained

Suman Samal, Asst. Marketing Manager
Suman Samal
Top 9 Benefits of AI Content Marketing Explained
Suman Samal, Asst. Marketing Manager
Suman Samal
Sep 14, 2022

Top 9 Benefits of AI Content Marketing Explained

AI content marketing offers a number of beneficial advantages for businesses. Here are the top 9 primary benefits of AI content marketing.
Top 9 Benefits of AI Content Marketing Explained

Table of contents

One of the constants with content creators, marketers, SEO strategists is the need to improve our effectiveness and efficiency. And Artificial Intelligence (AI) content marketing is the perfect tool for doing just that.

Integrating AI solutions into content creation and distribution can help organizations optimize operations, gain a competitive edge, and ultimately accelerate growth.

As per the Drift leadership report, 79 percent of marketing experts mentioned that AI is one of the technologies that will affect marketing in the future.

This blog will highlight 9 key benefits of AI content marketing. So whether you are curious about how it could help your business or want to learn more about the technology itself, read on.

What is AI Content Marketing?

AI content marketing is the method of leveraging AI technology to create and distribute content. This can include creating automated content marketing campaigns to curate relevant articles from various sources. AI content marketing helps with:

Increased Optimization: One of the primary benefits of AI content marketing is that it allows for improved optimization and efficiency when creating and distributing content, thanks to algorithms that learn from users’ behavior over time. In addition, AI can help you identify potential content gaps and fill them with valuable information. Read our blog on how you can use artificial intelligence blog writing

Increased Engagement: AI content marketing can help you improve your website’s engagement rates due to its ability to analyze user data. By understanding which topics are engaging users and tailoring the content accordingly, you can promote long-term loyalty among your audience.

Greater Brand Awareness: When done correctly, AI content marketing can help your business achieve greater brand awareness. You can attract new customers and evangelize your company’s key values by distributing high-quality content relevant to your audience.

Increased ROI: One of the most crucial advantages of using AI content marketing is that it can increase your business ROI. By automating specific characteristics of your workflow, you can free up valuable time to focus on more strategic initiatives.

Ultimately, by integrating AI solutions into your existing system, you can optimize your workflow, increase efficiency, and improve ROI.

How Artificial Intelligence in Content Marketing Works at Each Stage of Buyers' Journey

No matter what stage of the buying process a customer is in, using AI content marketing can help you reach the users more effectively.

Below are some if the ways AI content marketing affects the different buying stages:

Early Stage Buying: AI can be used to target potential customers who are researching products or services. Creating highly targeted content allows you to engage and convert these leads into buyers faster than traditional marketing methods.

Interested in the Product/Service But Not Ready to Commit: AI can help marketers understand consumer sentiment around a product or service before they invest in it. This provides valuable intel on what will work best for your business — without any of the risks!

Committed and Ready to Buy: When a customer is interested in your product or service, AI can help you sell it to them more personally. By analyzing buying trends and understanding their preferences, you can create content that resonates with them.

Experienced Buyer: As customers become more experienced with using your product or service, they will likely make better decisions on what to buy next. Using AI solutions that track customer behavior over time can provide valuable insights into what works best for them.

5 Real-world Examples of Brands Using AI in Content Marketing

Many brands are using artificial intelligence in content marketing to improve their ROI. Some examples include:

Chase Bank's Association with Persado

Persado technology generates creative content with the help of data science and AI to render copy that is proven to be the most influential message to individual customers and segments of customers. 

JP Morgan Chase Bank is a well-known financial institution that is using Persado's machine learning platform to create engaging and human-like content for its customers. 

The results? 

By implementing Persado’s machine learning platform, Chase witnessed as high as a 450% lift in click-through rates on ads generated by Persado, compared with others in the 50-200% range.

eBay Uses Brand Language Optimization

In 2016, ever the pioneer and ahead of the wider marketing industry, eBay turned to AI-powered copywriting tool Phrasee.

Phrasee’s technology utilizes Natural Language Generation and Deep Learning to automatically write and optimize Facebook ads, email subject lines, and push messages at scale. 

Once instructed on a brand’s data, Phrasee composes human-sounding copy in the brand voice.

The solution is capable of producing thousands of machine-written messages in minutes. Once written, message lines are A/B tested at scale, then Phrasee utilizes the data to know how to write for even higher engagement.

Dell Using AI to Automate Newsletters

Dell is using artificial intelligence to improve the process of creating and sending out newsletters. This has led to a decrease in the time it takes to create and send out newsletters and an increase in engagement rates.

Moreover, Dell is using AI in content marketing to automate the process of content creation. This enables more customized content, leading to better customer retention and engagement rates on different channels.

Mastercard Used AI in Content Creation

In 2017, Mastercard acquired Brighterion, a software company specializing in AI technology, and in 2014 launched its “Priceless Engine”— named after Mastercard’s famed, long-running marketing campaign. 

It uses AI to predict and react to “micro trends” on social media that last just a couple of days. The AI-powered tool is enabled in the Middle East.

Sephora Chatbot

Sephora uses two bots: Sephora Reservation Assistant and Color Match. The first one serves as an appointment booking bot to reserve a makeover at Sephora stores. 

It leverages NLP and has led to an 11% higher conversion rate compared to any other channel for in-store slot booking. Another bot acts as a virtual makeup artist. 

Benefits of Using Artificial Intelligence in Content Marketing

If you're looking to take your content marketing to the next level, artificial intelligence can be a valuable tool. Here are 9 benefits of using AI content marketing:

Identify Keyword Intent

Some keywords are clearly understandable in their intent; usually, these are keywords with modifiers appended or prepended to them. For instance: 

“Where”, “Buy”, “How”, “When”, “Coupon”, etc.

But what when somebody searches for a keyword without modifiers? It becomes trickier to know what kind of content to optimize if the keyword is just “dogs”.

Here AI helps to accurately and quickly identify the user’s search intent behind keywords at scale. 

Provide Inspiration for Blog Topics

Artificial intelligence can be a great tool if you're looking for inspiration to write blogs. For example, Scalenut has a topic cluster tool that helps generate a bunch of potential blog topics for a business. 

Moreover, using AI-generated insights like monthly search volume or keyword difficulty, you can identify popular content topics or ideas. 

Also Read: Checkout our free AI writing tools that help you write blog introductions, catchy marketing copies, persuasive ads and much more. 

Write and Optimize Content for SEO

AI has been widely used in the SEO and content marketing fields. In fact, Google has already begun using AI and machine learning to analyze its search results. 

In addition, the on-page SEO techniques utilized to optimize content for search results have further developed with every new Google algorithm update. 

Ultimately, AI SEO Content is an AI-based technology that helps write and optimize the content to make it easier for search engines like Google to find and understand. 

Scalenut’s SEO Hub does exactly that for its users, enabling them to create content using AI and further optimize it for search rankings. 

Austin P, a famous YouTube content creator, said, “Scalenut has revolutionized the way I write Travel Blog posts. It is fast, reliable, and SEO Friendly. It helps me to write ranking content way faster than I could do on my own! I Highly Recommend this Software!”

Create a Variety of Hyper-personalized Content

Hyper personalization is a more evolved next step to personalized marketing. The process leverages AI and real-time data to provide more relevant content, product, and service details to every user. 

This is done by creating custom and targeted experiences based on data, analytics, and AI.

For example, Airbnb began using location services to populate a variety of forms automatically, based on what service the visitor was looking to sign up for on their site. Once the visitor signs up, every journey is unique to the person as it holds a complete history of all their interactions on the site. 

Similarly, Reebok, when a customer leaves the site without making a purchase, uses the email for retargeting the customer with recommended products based on their browsing history. 

Also read: Best Content Writing Tools For SEO Every Marketer Should Know in 2022

Get Content Scoring for Quality Check

Quality content is essential for your success as a blogger. However, objectively judging your blog posts' quality can be hard. 

This is where AI content scoring services come in handy. They can help you identify areas that need improvement and ensure that all your blog posts undergo a rigorous quality check before publishing. 

For example, Grammarly scores your content based on its tone, readability, and grammatical errors. This not just helps you to identify where you need to improve but also saves you from low search ranking due to bad content quality. 

Automate Content Marketing Workflow

AI content marketing automation means using software to facilitate as many parts of the content marketing technique as possible. 

This includes content generation, distribution, team performance, and content execution measurement. 

A good example is converging content planning, brainstorming, and content performance measurement under the same umbrella.

Track and Analyze Content Performance

Measurement is key to the effectiveness of content marketing. By tracking and measuring the performance of your content using AI, you can optimize your strategy as needed.

AI content performance analytics track some common metrics, including page views, engagement rates, calls for action taken, and shares

Improve User Experience

Artificial Intelligence has dramatically impacted user experience by providing smarter content and better support to customers. 

One real-life example is when users get content recommendations based on their search history.

Hence, AI monitors your behavior, including which blog you read, email browsing data, website visited, and your total time spent on a website. These inputs help AI present the most relevant information to you.

For the user experience, Carlos U said, “This tool has been really fun to use. The UI and UX are well designed and nothing inside Scalenut feels cheap. The output quality of the AI is also great whether you are using the long-form or the short-form generator.”

Predictive Content Analytics for Valuable Insights

AI Predictive Analytics is an element of web data analytics that focuses on what prospects will need and do on your website. It uses data, statistical algorithms, and AI techniques to analyze possible future outcomes and present valuable business insights. 

Handy Tips for Adapting to AI Content Marketing

Here are the top 7 handy tips for adapting to AI content marketing: 

  • Start utilizing AI on small data samples rather than taking on too much too soon. 
  • Get your hands on multiple AI-based pilot projects. 
  • Take time and get familiar with what modern artificial intelligence technology can do. 
  • Figure out what problem exactly you want to solve using the AI technology.
  • You must consider the conceivable business and financial value of the various possible AI implementations you’ve identified. 
  • Strike a balance between what you want to achieve and the organization's capabilities to accomplish that goal within the stipulated time. 
  • Make a task force by integrating different data sets, and sort out all the inconsistencies so that the data is accurate and rich. 

Start Your AI Content Marketing Journey with Scalenut

Scalenut has the tools and knowledge to help you with your content marketing journey using trending artificial intelligence technology. Additionally, the artificial intelligence content marketing toolkit provides you with a range of strategies and tips to support you in boosting your enterprise with AI content marketing. 

Are you ready to get started? Sign up for the 7 days free trial here.

Suman Samal
Asst. Marketing Manager
ABout the AUTHOR
Suman Samal
Asst. Marketing Manager

Suman Samal is a Asst. Marketing Manager at Scalenut. She is a technology enthusiast with a keen interest in content marketing and SEO. She truly believes that with the right set of tools every organization can improve the ROI of their content marketing campaigns. She spends her time managing content operations at Scalenut and ensuring that everything we publish is of the highest quality.

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