The internet has never been more crowded with content.

To stand out from the crowd, marketers are turning to AI to:

  • Better understand the needs of their target audience
  • Provide them with more personalized experiences that align with their interests

Therefore, artificial intelligence is increasingly becoming a critical tool in digital marketing.

AI is here to help content marketers optimize their promotion strategies and improve revenue through intelligent analysis in content production with data mining, predictive analytics, and machine learning tools.

This article explores what Artificial Intelligence looks like optimizing for better engagement with audiences via content marketing campaigns.

Ready to learn about the various applications and strategies for using AI in content marketing?

 

 

What is AI?

Artificial Intelligence (AI) is a field of computer science that attempts to create intelligent machines.

It focuses on developing algorithms that can perform tasks that typically require human intelligence. It has been a boon for the marketing industry. It can use machine learning to optimize content for better engagement. However, it’s not just limited to the marketing world.

AI is everywhere.

From your personal life to the workplace, it has transformed how we live and work. 

It is changing the world on an almost daily basis. In fact, there are so many ways AI is impacting our lives, it’s hard to keep up.

Some of the more recent uses of AI are self-driving cars, smart assistants (like Apple’s Siri and Amazon’s Alexa), digital advertising, and much more.

It’s easy to imagine a future where most or all marketers are using AI as they can adapt their strategy without too much effort, saving time and money that they would otherwise spend on developing new strategies for each campaign type.

The Role of AI in Content Marketing?

The role of AI in content marketing has been a hot topic for many years, and it’s not slowing down anytime soon.

The technology helps businesses stay competitive by optimizing their promotional efforts. This is why you’ll see more companies integrate artificial intelligence into all aspects of operations to:

  • Analyze customer data
  • Align content with the needs of the customers
  • Target audiences based on demographic statistics
  • Find the best time to publish
  • Create better content

This allows marketers to make smarter decisions that help them reach the right audience at the right moment with the right message.

Combining AI with content marketing provides powerful insights for businesses.

As a content marketer, you can leverage AI in content marketing to:

  • Provide personalization, which is essential for a sound marketing strategy
  • Drive more targeted traffic to your website and other channels
  • Improve content creation and curation
  • Increase user experience with your content
  • Measure and optimize your marketing efforts based on the engagement with the content

Let’s look at some ways to use AI for content marketing.

lady reading a book about content marketing

Topic inspiration

AI helps find interesting topics for your business blog that will engage readers.

Using AI technologies like NLP and machine learning, they suggest the topics for you based on the content that has been read.

AI uses predictive analytics to predict customer reactions and sentiments. Predictive analytics uses historical data and other information to predict future events. Here, the AI can predict customer reactions and feelings towards a specific topic.

You can then choose one or more of the suggested topics, depending on your interests.

AI-driven market research

Once you have identified your target audience, you can further narrow your list by incorporating AI-driven market research.

Using a combination of AI and human intelligence, you can get detailed insights into the segments of your audience and their preferences. With this information, you can create more relevant and effective campaigns.

Content creation AI

AI is a gigantic step forward in content marketing. It automates repetitive tasks and gives marketers the ability to create personalized content for their audience.

AI-powered content generators, like GPT-3, can read and write human language to produce high-quality content. It’s used for fields such as news and marketing to create blog posts, press releases, technical manuals, and even unique stories with high accuracy.

Even though these AI writers aren’t perfect, they’re already generating text that converts at higher rates than humans. And they are getting better over time with every iteration.

Content curation

Content curation is the process of finding, organizing, and sharing high-quality content on a specific topic to engage with your audience.

It has grown from being a mere marketing tactic to a way of building the brand and reach of a business.

The content can be original or gathered from other sites and is produced to provide valuable information to the reader. The idea is that if you can collect information from all over the web and then share, organize and reorganize it, you can build a credible and accessible brand. 

Content curation AI helps find relevant and valuable content in your industry and within your company. 

With AI-powered content curation, you can:

  • Find the best content across various sources
  • Use AI to recommend the most relevant content for your audience
  • Create content that has the highest potential to convert your visitors

This saves a lot of time and effort as you no longer have to manually go through hundreds of articles or blogs to identify the best content for your audience.

Personalization and Recommendation

The AI tools developed today can understand users and what they like, making it easier to recommend the right piece of content to the right person at the right time.

Content recommendation is one of the most common applications of AI. It is also one of the most powerful.

Most popular services, like Amazon, Netflix, and Spotify, use it to improve the user experience. By analyzing the behavior of users, an AI-powered content recommendation system can provide them with the content they want or need.

Personalization and recommendation apps use various AI technologies like machine learning, deep learning, and natural language processing to recommend relevant and valuable pieces of content to your buyers.

AI-powered content recommendation systems:

  • Analyze website visitor behavior and preferences to recommend pieces of content that are most likely to be of interest to them.
  • Learn from user engagement with the content and improve its relevance for future users.
  • Make suggestions based on the context of the website or channel where the content is being displayed. For example, it might recommend similar products when a customer has browsed through a particular category on your eCommerce website.
  • Improve the quality of your content by learning what pieces of content the buyers find most valuable and interesting. This will help you create more compelling and less redundant content that will be more likely to be shared and liked.
  • Make more sales by delivering highly-personalized and helpful content to your buyers.

The systems learn and improve dynamically based on user actions. Their recommendations are tailored to each individual. Providing meaningful content relevant at every stage of their journey with the brand.

AI content automation

Content automation involves creating a template that includes the appropriate code to create, manage, and update a specific piece of content. This could include creating a web page, blog post, email, or other types of content.

Content automation has two main advantages:

  1. It speeds up content production by automating many steps needed to create it.
  2. It also saves time by automating the management of the content as it is made.

It’s used to automate every stage of the content lifecycle, from content creation to distribution. It is currently used by thousands of businesses worldwide.

It is an umbrella term that includes everything from content spinning to tools that automatically publish content to Twitter, Facebook, and LinkedIn.

AI automation is a vital part of the future of content marketing.

It helps to reduce costs and improve efficiency.

Predictive intelligence

Predictive intelligence makes forecasts about future events or trends based on information collected about past events or trends.

Predictive analytics uses predictive intelligence to create value for organizations. It can help companies identify their customers’ needs and interests. Once these needs and interests are known, companies can create more targeted marketing campaigns and offers.

Predictive intelligence helps businesses make smarter decisions, improve efficiency, and increase profits.

Generating data-driven insights

Data-driven insights result from applying AI to large amounts of structured and unstructured data. Data-driven insights provide a unique and objective perspective on what’s happening in your business.

They lead to smarter decisions and better strategies.

Data-driven insights also have the potential to uncover previously unknown opportunities. Armed with these insights, content strategists can create more compelling content that is more likely to be shared and liked. This, in turn, can lead to more traffic, more leads, and ultimately, more sales.

It’s also faster and more efficient than the manual process of sorting through piles of data.

Content intelligence

Content intelligence platforms help marketers monitor and analyze their content marketing strategy. These platforms provide metrics, insights, and recommendations to help optimize content marketing strategies.

The best content intelligence platforms offer a 360-degree view of your entire marketing funnel.

Content intelligence platforms can track every step of a customer’s journey from their first interaction with your brand to their final purchase. They can follow where a customer comes from, where they go, and what they do once they arrive on your website or landing page.

They’re also a great way to measure the success of your ai marketing efforts.

Examples of AI Content Marketing Tools

AI tools have helped marketers in creating content.

These tools include automation and optimization of processes, customer service, and the personalization of content.

AI can help capture and analyze customer data, minimizing guesswork in the creation process. These tools help automate, personalize, and scale content marketing efforts.

A screenshot of Outranking's homepage. Outranking is an AI-driven SEO tool

Outranking – AI SEO tool

Outranking.io is a tool that helps you improve your content’s SEO and ranking. It is an all-in-one:

  • on-page SEO checker
  • AI writer
  • content researcher

Outranking is an AI SEO tool that optimizes content for better ranking. It helps businesses with their Google rankings by providing insights on improving the quality and optimizing content for search engines.

Its AI generates titles, meta descriptions, outlines, and entire paragraphs. And then scores your content for all essential on-page factors which affect ranking.

screenshot of Jarvis.ai homepage

Jarvis – AI Writing Tool

AI writing software like Jarvis make writing more efficient and allow content creators to write faster.

Jarvis is an AI writing tool that can help you with blog posts and other types of content. You can use the AI software to generate fully-formed sentences and paragraphs from raw text, which can be edited into a final draft.

Jarvis has support for many different fields, including but not limited to business, health care, finance, marketing experience, among others.

 

A screenshot of Grammarly's homepage. Grammarly is an AI grammar tool

Grammarly – AI Editing Tool

Grammarly is an AI editing tool that provides writing suggestions for spelling, punctuation, and formatting issues.

Grammarly is an AI editing tool that helps people write better by identifying and correcting grammar, typos, and punctuation errors. The platform uses various algorithms such as machine learning for continuous evolution.

Screenshot of Predis.AI homepage

Predis – AI Social Media Tool

AI tools are now available to help marketers create content for social media.

Predis is an AI social media tool that helps you find the best creative templates for your posts. You can edit the text, captions, hashtags, images to make them more awesome.

It allows people who are not experts to create beautiful posts with AI’s help.

It saves time by taking away all of the effort you might have to put into writing, editing, and creating a post. And allows users to analyze their competitors’ follower growth and engagement.

 

screenshot of Lumen5 homepage

Lumen5 – AI Video Tool

Lumen5 is an AI video tool that helps to automatically populate relevant content for videos.

This feature can be a great help when creating or editing your own videos. You don’t have to worry about manually picking the information and adding it into your script; Lumen5’s AI will do all of this work for you!

Final Thoughts

AI has the potential to make content marketing even more powerful. It’s up to you to decide if it should be a part of your strategy, but we recommend exploring the possibilities. With all the various tools available, there’s no reason not to give them a try!

FAQ

How is AI used in content marketing?

AI content marketing helps marketers create better content and engage with their customers. It also helps make the customer experience more positive by identifying the best way to approach an audience and what they are most likely to engage with.

How do you use AI in content creation?

  1. Generate topics and keywords
  2. Automate content generation and optimization
  3. Schedule publication and syndication
  4. Evaluate social sentiment and engagement
  5. Improve on content personalization
  6. Enhance user experience

What is content AI?

Content AI is the subset of artificial intelligence used to optimize content for better engagement. Machine learning algorithms ensure that your website and social media posts provide relevant, timely information to users.

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