How To Cleverly Use AI To Smarten Content Marketing

AI In Content Marketing

AI in content marketing is getting a lot of buzz due to its numerous benefits to the content marketing industry.

From personalization to efficiency to never-before innovations, AI-powered tools can help you transform how you create, distribute, and optimize your content.

AI can analyze vast amounts of data to provide personalized content recommendations, which can improve engagement and conversion rates. It can also automate many content marketing tasks, saving time and resources and allowing marketers to focus on more strategic activities.

Additionally, AI can provide valuable insights into user behavior, preferences, and trends, helping marketers create content that resonates with their audience.

With so many benefits, it’s no wonder that AI is evoking such high interest in the content marketing industry. Companies that adopt AI in their content marketing strategies are likely to stay competitive and see significant improvements in their ROI. If you’re not on the bandwagon yet, it’s time to get on!

This post is part of a cluster related to “Content Marketing: The Practical Guide For Brand Owners.”

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How is AI changing the landscape of content marketing?

AI, or Artificial Intelligence, is the branch of computer science that focuses on creating machines and algorithms that can perform tasks that typically require human intelligence, such as perception, reasoning, learning, and decision-making.

AI systems can be designed to operate in various contexts, from self-driving cars to customer service chatbots. AI aims to create intelligent machines that can perform complex tasks without human intervention and develop new applications to improve our lives and work.

AI technologies rely on various techniques, such as machine learning, natural language processing, computer vision, and robotics.

AI is changing the content marketing landscape by providing new opportunities to create personalized, engaging content that resonates with the audience.

  • With AI-powered tools, marketers can automate many repetitive tasks associated with content marketing, such as content creation, optimization, and distribution. This helps to save time and resources, allowing marketers to focus on more strategic activities such as analyzing data and generating insights.
  • AI algorithms can help marketers understand what kind of content their audience is interested in and which channels they prefer to receive it through. By using this information to create targeted and personalized content, marketers can increase engagement and conversion rates, ultimately leading to a better return on investment (ROI). 
  • AI enables the creation of new and innovative types of content. For example, virtual reality experiences and interactive chatbots are becoming increasingly popular ways to engage audiences and provide a more immersive experience. By using AI to power these technologies, marketers can create more effective and engaging content that captures their audience’s attention.
  • AI provides valuable insights into user behavior and preferences. By analyzing data from various sources, such as social media and search engines, AI algorithms can identify trends and patterns to help marketers create content that resonates with their audience. For example, AI-powered tools can determine which types of content are most popular among specific demographics, assisting marketers in creating targeted content that is more likely to be shared and engaged with.
  • AI is vastly improving the customer experience. AI-powered chatbots and other customer service tools can provide 24/7 support to customers, answering queries and resolving issues in real time. This can lead to higher customer satisfaction and ultimately increase brand loyalty.

If you love quotes from people who matter here are a few about AI and content that got me sitting up and taking notice:

Mathew Sweezey

"AI will not replace marketers, but marketers who use AI will replace those who don't."

Andrew Ng

"AI is the new electricity. It will power the next generation of content marketing."

The 8 best ways to use AI for your content marketing

Here is my list of the 8 best ways to use AI in content marketing. I’ve emphasized the points that I’m finding worthwhile experimenting with for my brand and clients’ brands. 
8 Ways To Use AI In Content Marketing
(Please use this infographic with credits intact.) 

1. How to personalize your targeted content with AI

What do we mean by personalization of content?

Personalization of content is the process of tailoring content to each person’s individual needs and interests.

This can include a range of techniques, such as using data analysis to identify patterns in user behavior, tracking their preferences and past interactions with content, and utilizing artificial intelligence (AI) algorithms to suggest content most relevant to their interests.

Understand content personalization with AI ... watch!

Growth Tribe’s excellent video explains what mass personalization and personalized content with AI mean – and how they help content marketers. Don’t miss this!

10 ways to use AI for content personalization

Here are ten ways to personalize content for sharper targeting of customers:

  • Audience Segmentation: AI-powered audience segmentation tools can help content creators divide their audience into different groups based on demographics, behavior, and preferences. By segmenting their audience, creators can create more targeted and personalized content that resonates with each group.
  • Content Recommendations: AI-powered content recommendation engines can help content creators suggest personalized content to their audience based on their interests and behavior. These tools can analyze data on audience behavior and suggest relevant content they will likely enjoy.
  • Dynamic Content: AI-powered dynamic content tools can help content creators create personalized content in real-time. For example, these tools can change the content based on the viewer’s location, behavior, or preferences, making the content more relevant and engaging.
  • Image and Video Personalization: AI-powered image and video personalization tools can help content creators create personalized visual content. These tools can customize images and videos to each user’s preferences, such as by changing the colors or including personalized text. 
  • Voice Personalization: AI-powered voice personalization tools can help content creators create personalized audio content. These tools can customize the voiceover to each user’s preferences by changing the tone or accent.
  • Social Media Personalization: AI-powered social media personalization tools can help content creators create personalized social media content. These tools can analyze user behavior and preferences data and suggest personalized content that is most likely to be shared or engaged with. 
  • Personalized Emails: AI-powered email marketing tools can help content creators create personalized email campaigns. These tools can analyze data on the recipient’s behavior and preferences and suggest personalized content that is most likely to resonate with them.
  • Personalized Landing Pages: AI-powered landing page personalization tools can help content creators create personalized landing pages tailored to each user’s interests and behavior. These tools can analyze user behavior and preferences data and suggest personalized content that is most likely to convert. 
  • Personalized Ads: AI-powered ad personalization tools can help content creators create personalized ads tailored to each user’s interests and behavior. These tools can analyze user behavior and preferences data and suggest personalized ads that are most likely to convert.
  • Personalized Newsletters: AI-powered newsletter personalization tools can help content creators create personalized newsletters. These tools can analyze user behavior and preferences data and suggest personalized content that is most likely to be read and engaged with.

2. How to accelerate content creation speed with AI

Why do we need to accelerate content creation?

Speed of content creation allows brands to keep up with the demands of the digital world, where fresh and relevant content is constantly needed to engage with customers and stand out from competitors. 

By automating repetitive tasks, marketers can free up time for more strategic activities, like quickly responding to trends and market changes, staying ahead of the curve, and capitalizing on new opportunities.

20 experts on content creation speed with AI ... watch!

In this video by Narrato, 20 marketing experts share tips for quickly creating content. Take away some of the tricks they use to create content faster.

10 ways AI can help with content creation speed

Here are ten ways to accelerate content creation using AI:

  • Content Research: AI can help automate researching topics and gathering data for content creation. AI-powered research tools can quickly analyze data, extract relevant information, and present it in a format that is easy for content creators to use.
  • Content Analysis: AI can help to analyze and understand user behavior, preferences, and trends, allowing content creators to create more relevant and engaging content that resonates with their target audience. This saves time and resources on trial and error in creating content that doesn’t perform well.
  • Topic Generation: AI can analyze vast amounts of data and identify popular topics and trends relevant to your brand, saving time and resources that would otherwise be spent on manual research.
  • Content Planning: AI-powered content planning tools can help to plan and schedule content creation, ensuring that content is created in a timely and efficient manner.

  • Content Writing: AI-powered writing tools can help create content faster by automating the writing process. These tools can generate articles, blog posts, and other content based on a topic or keyword, saving time and increasing productivity.
  • Content Editing: AI-powered editing tools can help to streamline the editing process and improve the quality of content. These tools can analyze text for grammar, spelling, and readability, making suggestions and corrections to save time and improve efficiency. This can help to reduce the time and resources required for manual editing, allowing content creators to focus on creating more content.
  • Multilingual Content Creation: AI-powered translation tools can help to create content in multiple languages quickly and efficiently. This can help expand your audience and reach new markets without additional resources or personnel.

  • SEO Optimization: AI-powered SEO tools can analyze user behavior and search trends to optimize content for search engines, improving visibility and traffic.

  • Content Repurposing: AI can help to repurpose existing content into different formats, such as turning a blog post into a video or infographic, saving time on creating new content from scratch.

  • Content Collaboration: AI-powered collaboration tools can help to facilitate collaboration between content creators and editors, allowing for real-time editing and feedback and saving time on manual communication.

3. How to do intelligent content curation with AI

What is intelligent content curation?

Content curation is the process of selecting and organizing relevant and valuable information on a particular topic from various sources and meaningfully presenting it to an audience.

Content curators aim to provide their audience with high-quality and relevant content while saving time and resources on creating content from scratch.

They often use RSS feeds, social media monitoring, and search engines to find and curate content.

Content curation can be used for various purposes, such as educating an audience, building authority and credibility, or driving traffic to a website.

How to cleverly mix content curation with AI ... watch!

Axonify has this nice long video on how delivering good training content is hard … and doing it engagingly at speed required is almost impossible … unless you cleverly use AI for content curation.

10 ways AI can help with intelligent content curation

Here are ten ways to use AI for intelligent content curation:

  • Content discovery: AI can suggest new content sources based on the user’s interests and preferences.

  • Content recommendation engines: AI-powered recommendation engines can suggest relevant content to users based on their browsing behavior, preferences, and historical data, helping to increase engagement and retention.

  • Topic extraction: AI can extract critical topics from a large content volume to help curators find relevant information easily and quickly.
  • Sentiment analysis: AI can analyze the sentiment of a piece of content to determine if it is positive, negative, or neutral, which can help decide if it aligns with the brand’s message. 

  • Content tagging: AI can automatically tag content with relevant keywords and categories, making it easier to organize and find later. 

  • Content filtering: AI can filter out irrelevant content, ensuring that only the most relevant and valuable pieces are presented to users. 

  • Content clustering: AI can group related pieces of content, making it easier for content curators to identify patterns and themes. 

  • Content quality analysis: AI can analyze the quality of content, including readability, grammar, and spelling, to ensure that it meets a certain standard. 

  • Time-saving: AI can save content curators time by automating the process of gathering, organizing, and presenting content. 

  • Real-time updates: AI can monitor news and social media channels in real-time, providing content curators with up-to-date information on trending topics and breaking news.

4. How to do astute content optimization with AI

What is astute content optimization?

Astute content optimization refers to optimizing content for SEO – on a website or digital platform – to improve its visibility and relevance to search engines and users.

This involves strategically incorporating relevant keywords and phrases throughout the content in a natural and meaningful way and ensuring that the content is high-quality, informative, and engaging for readers.

Additionally, astute content optimization also involves optimizing various technical aspects of the website, such as page load speed, mobile responsiveness, and website structure, to improve the overall user experience and increase the chances of the content ranking high through SEO on search engines. 

How will SEO be affected by AI ... watch!

Mention has put together four top influencers for this video to tell us how improvements in artificial intelligence (AI) and natural language processing will affect SEO – and what implications these changes may have for marketers.

10 ways AI can help with astute content optimization

Here are ten ways to use AI for intelligent content optimization:

  • Keyword Research: AI-powered tools can analyze search engine data to identify high-volume, low-competition keywords to target in content optimization efforts. 
  • Content suggestions: AI tools can suggest content ideas, titles, and topics based on the latest trends and data, helping you stay ahead of the competition.

  • Content classification: AI can classify content by topic, tone, or audience, helping you create targeted content that resonates with your audience.

  • Content generation: AI can generate unique content using natural language processing and machine learning, saving time and resources.

  • Content SEO Writing: AI algorithms can generate content based on specific keywords and topics, providing a starting point for content creation.
  • Content Analysis: AI tools can analyze content to identify areas for structure, tone, and relevance improvement. 
  • Topic Clustering: AI can analyze content and group similar topics together, allowing for the creation of content clusters that improve relevance and authority.
  • Content SEO Optimization: AI can analyze content and provide suggestions for optimization, such as improving readability or incorporating additional relevant keywords.

  • Content metadata optimization: AI can help optimize metadata for better search engine visibility, increasing traffic to your site.

  • Content performance analysis: AI can analyze content performance, engagement, and traffic data to help you identify what content works and doesn’t.

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5. How to do effective content distribution with AI

What is effective content distribution?

Effective content distribution is the process of getting your content in front of the right audience through various channels and platforms.

It involves identifying the channels your audience spends most of their time on, such as social media, email marketing, search engines, and other relevant platforms.

Effective content distribution also requires a clear understanding of your audience’s preferences, behavior, and needs, which will help you tailor your content to resonate with them.

Furthermore, it involves creating a distribution strategy that includes a mix of paid and organic channels to ensure maximum reach and engagement.

AI influencer marketing leads content distribution ... watch!

These days, influencers are leading the content distribution system, and they, in turn, are being led by AI. (In fact, real influencers are being upstaged by “AI influencers,” i.e., imaginary beings.) This video from Visme gets the expert Neal Schaffer explaining the new game.

10 ways AI can help with effective content distribution

Here are ten ways to use AI for effective content distribution:

  • Targeting: AI can use data analysis to target specific audiences with relevant content, ensuring that the right message reaches the right people.
  • Optimization: AI can optimize content distribution channels based on performance metrics, such as click-through rates and conversion rates, to improve overall results.
  • Automation: AI can automate the content distribution process, freeing up time for content creators to focus on creating high-quality content.
  • A/B Testing: AI can conduct A/B testing on different content distribution strategies, identifying which approaches work best and refining distribution accordingly.
  • Content Scheduling: AI can use data analysis to identify the optimal times for content distribution, ensuring that content reaches the right audience at the right time.
  • Social Media Management: AI can automate social media content distribution, scheduling posts, and analyze performance metrics to optimize social media reach.
  • Influencer Marketing: AI can identify relevant influencers for content distribution based on audience demographics and behavior, increasing the likelihood of engagement and conversions.
  • Multi-channel Distribution: AI can analyze audience behavior across multiple channels, recommending the most effective channels for content distribution.
  • Push Notifications: AI can analyze user behavior and preferences to send targeted push notifications, promoting relevant content and encouraging engagement.
  • Content Localization: AI can analyze user data to identify language and cultural preferences, ensuring content is localized and distributed effectively across different markets.

6. How to use perceptive, responsive chatbots with AI

What are perceptive, responsive chatbots?

Perceptive, responsive chatbots are AI-powered chatbots that can understand and respond to natural language inputs from users, using natural language processing (NLP) algorithms to interpret and respond to user queries.

These chatbots can recognize a wide range of user inputs, including text, speech, and images, and can respond with relevant and personalized information in real time.

They can also use machine learning algorithms to improve their responses based on user interactions and feedback.

AI Chatbots vs Directed Chatbots vs Hybrid Chatbots ... watch!

I didn’t know these three types of chatbots until I watched this video … by BA-Experts. All these options have pros and cons, but I think the hybrid “AI+Directed” chatbots will score. Watch … and see if you agree.

10 ways AI-driven chatbots can help content marketing

Here are ten ways to use AI chatbots for content marketing:

24/7 Availability: AI-driven chatbots can provide round-the-clock support, answering user queries and distributing content anytime, day or night.

Personalization: Chatbots can use data analysis to personalize content recommendations and distribution, increasing engagement and conversions.

Targeting: Chatbots can use data analysis to target specific audiences with relevant content, ensuring that the right message reaches the right people.

User Engagement: Chatbots can engage with users, answering questions and providing recommendations based on user input, increasing user engagement and satisfaction.

Lead Generation: Chatbots can identify potential leads and distribute relevant content to them, nurturing leads and increasing the likelihood of conversion.

Customer Support: Chatbots can provide customer support, answering questions and assisting with product or service inquiries, improving customer satisfaction.

Customer Journey Mapping: Chatbots can analyze user behavior and preferences to map the customer journey, identifying content distribution and engagement opportunities.

Content Localization: Chatbots can analyze user data to identify language and cultural preferences, ensuring content is localized and distributed effectively across different markets.

Social Listening: Chatbots can monitor social media conversations and identify opportunities for content distribution based on user sentiment and trends.

Conversational Advertising: Chatbots can engage with users through conversational advertising, distributing relevant content and encouraging engagement through a natural and conversational approach.

7. How to do insightful predictive analysis with AI

What is insightful predictive analysis?

Insightful predictive analysis is a type of data analysis that uses machine learning algorithms to analyze large sets of data and identify patterns and trends that can be used to predict future outcomes.

Predictive analysis aims to provide valuable insights and actionable recommendations based on data analysis rather than simply presenting raw data.

Insightful predictive analysis involves identifying relevant data sources, cleaning and organizing the data, applying predictive algorithms, and interpreting and communicating the results to stakeholders.

This type of analysis can be used in various industries, including marketing, finance, and healthcare, to anticipate future trends and make more informed decisions based on data-driven insights.

How great brands are using predictive analysis with AI ... watch!

This is a truly amazing video from Growth Tribe. It explains what predictive analysis is, how it combines with AI, and how great brands are using it in unbelievable ways. Must watch!

10 ways predictive analysis with AI can help marketers

Here are ten ways to use predictive analysis with AI can help content marketers:

  • Market Analysis and Opportunity Identification: Predictive analysis can identify market trends and opportunities, informing product development and marketing strategies.
  • Customer Segmentation: Predictive analysis can segment customers based on behavior and preferences, allowing for more targeted and personalized marketing efforts.
  • Predictive Lead Scoring: Predictive analysis can identify the most promising leads, improving the efficiency and effectiveness of lead generation efforts.
  • Churn Prediction: Predictive analysis can identify customers at risk of leaving, allowing for proactive retention efforts to be implemented.
  • Cross-Selling and Upselling: Predictive analysis can identify opportunities for cross-selling and upselling, increasing revenue and customer loyalty.
  • Campaign Optimization: Predictive analysis can optimize marketing campaigns based on performance data, improving effectiveness and ROI.
  • Product Recommendations: Predictive analysis can recommend relevant products to customers based on their behavior and preferences, increasing customer loyalty and revenue.
  • Email Marketing Optimization: Predictive analysis can optimize marketing campaigns based on performance data, improving open rates, click-through rates, and conversions.
  • Seasonal and Trend Analysis: Predictive analysis can anticipate seasonal and trend-based fluctuations in demand, improving inventory management and profitability.
  • Customer Lifetime Value Prediction: Predictive analysis can predict the lifetime value of customers, informing marketing and retention strategies.

8. How to do smart video and image analysis with AI

What is video and image analysis with AI?

Video and image analysis with AI involves using artificial intelligence techniques and algorithms to automatically process, interpret and understand visual content such as images and videos.

The technology uses machine learning models to extract information, recognize patterns, and make predictions based on visual data. It has several applications, such as object recognition, image classification, video analytics, and visual search.

Apart from its use in simple content marketing, video and image analysis with AI is used in various fields, including surveillance, medicine, transportation, entertainment, and many more.

This technology has revolutionized how we perceive and use visual data, allowing for more accurate and efficient analysis of large datasets.

Discover your customer's emotions with AI ... watch!

Any content creator or marketer who wants to know the customer’s emotional reaction in real-time (as the customer is consuming content) can use AI to detect the flitting emotions. Advertisements, stores, blogs, courses … any visual content can track customer emotions and engagement with AI. Watch this video from Keymakr to see how they make it work by using eye tracking in “attention detection technology.” (Note: This is a video without sound.)

10 ways AI can help with smart image and video analysis

Here are ten ways to use AI for smart image and video analysis:

  • Object recognition: AI can recognize and identify objects within images or videos.
  • Facial recognition: AI can identify individuals in images or videos by analyzing their facial features.
  • Emotion detection: AI can analyze facial expressions to detect emotions such as happiness, sadness, and anger.
  • Scene recognition: AI can identify different types of scenes within an image or video, such as a beach or a cityscape.
  • Image and video tagging: AI can automatically tag images and videos with relevant keywords and metadata.
  • Content moderation: AI can automatically detect and flag inappropriate or offensive content in images and videos.
  • Image and video enhancement: AI can enhance the quality of images and videos by adjusting brightness, contrast, and other settings.
  • Image and video restoration: AI can restore old or damaged images and videos by removing noise, scratches, and other imperfections.
  • Image and video search: AI can search through large databases of images and videos to find specific content.
  • Retail: AI can analyze customer behavior in stores using video feeds to optimize store layouts and product placement.

Pro tips to take away in summary ...

1. Artificial intelligence (AI) can offer valuable perspectives on user behavior, preferences, and trends, which in turn assists marketers in generating content that strikes a chord with their target audience. AI can furnish personalized content recommendations by analyzing big data and elevating engagement and conversion rates.

2. AI-powered tools can revolutionize your content creation, distribution, and optimization approach. They can automate multiple content marketing tasks, conserving valuable time and resources for marketers to concentrate on more strategic activities.

3. Given its numerous benefits, it’s unsurprising that AI is sparking significant interest in the content marketing industry. Brands that integrate AI into their content marketing strategies are poised to maintain competitiveness and experience substantial returns on investment. If you haven’t already jumped on board, now is the time to do so!

BONUS: How to get help with your branding and content marketing

Branding and content marketing are tough because they require a deep understanding of the target audience, a commitment to delivering high-quality content consistently, and ongoing optimization to remain effective. This is where an expert hand can be invaluable.

With cutting-edge knowledge of the latest industry trends and best practices, an expert can help provide the guidance and support needed to achieve the desired results.

Rather than slog at it yourself and spend time and money on trial-and-error, make it simple … let me help you.
 
Let’s have a free, no-obligations Zoom chat. We can locate the potential to power up your branding and content marketing. Let me know your goals and budgets, and I will offer you some readily implementable suggestions. 
 
If we’re a good fit for each other, you could consider outsourcing your branding and content marketing projects to me. I am confident I can take your business to an enviable position. 
 
Click the button below to book a free 30-45 minute online ZOOM meeting; we’ll take it from there!
Shobha Ponnappa

"I am committed to elevating my clients' branding and content marketing to a dominant position because I believe that a strong and distinctive brand identity, coupled with high-quality content, can be a game-changer for businesses. I've done it over and over for 40+ years and 125+ clients."

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