Content marketing is one of the most popular and effective methods of digital marketing. It has now become even more powerful due to artificial intelligence. AI has enabled marketers to do much more than they ever could. With the power of AI, they can enhance their content and research their audience more effectively. This means they can do more targeted marketing with content that is statistically more likely to increase conversions. 

Given those possibilities, it is natural that content marketing has undergone a significant shift. Since AI technology is also continuously evolving, so are the strategies associated with it.

In this article, we will discuss some of the most effective AI-powered content marketing strategies in 2024.

AI-Powered Content Marketing Strategies for 2024

Given below are some of the most effective AI marketing strategies for 2024. These strategies can be applied to both small and large businesses (provided they have the capital).

• Content Creation/Generation

Since the advent of OpenAI’s ChatGPT (an LLM) in 2022, AI-powered content creation has become almost normalized. Nowadays, anyone can write exquisite copy with the help of AI. All they need is a solid prompt, and the AI will do the rest. They can even ask it to make some changes to the content to make it appear more natural and human-written. In fact, some tools can even mimic your writing style if you provide them a sample of your writing.

With such powerful tools, marketers can easily create marketing copy in moments. What used to take hours of manual labor can now be done in minutes. Of course, this approach is not without its faults. AI-generated content often seems to lack empathy and is generic. It cannot provide specific examples or real-world cases (although that is changing with Gemini and Bing AI).

Even if you don’t use AI to generate content, it can still be used to brainstorm ideas and create outlines. This helps content writers who are facing writer’s block and have trouble writing new content. 

• Keyword Research and Adjustment

Content marketing is still very focused on keywords. While new things that affect the ranking of a website have been added (like user experience, content quality, etc.), keywords haven’t fallen off either. You can do keyword research using AI-powered research tools. Many companies like Semrush and Ahrefs have huge databases of keywords and what websites rank for which keywords. They often offer a feature where their tools provide new keywords for your content.

These keywords are typically high-volume but low-difficulty keywords that are easy to rank for. Content marketers can use these keywords to easily bring their websites to the top of the SERPs. They can also audit and find issues in your current content. They will tell you about keyword stuffing and keyword density and even suggest places where you should use keywords for SEO optimization. Ultimately, this results in more traffic, engagement, and conversions, which is the goal of marketing. Thus, it is successful.

• SEO Content Optimization 

With the power of AI, it is much easier to optimize marketing content for SEO. SEO stands for search engine optimization, and it is a vital part of any digital marketing management strategy. Basically, if you do good SEO, your web pages will appear in the top results of the search engine results pages (SERPs). Since people are more likely to see and open the top links, your web pages will get more organic traffic. 

The major component of SEO is the content on a webpage. As long as the content is optimized for SEO and the webpage itself is designed well, the page will rank high on the SERPs. So, how does AI come into the mix? Well, there are plenty of AI-powered content optimization tools available. They include paraphrasers, summarizers, grammar checkers, and even readability checkers. 

With such tools, you can directly optimize your content for SEO. You can use paraphrasers and summarizers to make the content more readable and user-friendly. Easier sentences in a smaller form factor result in a better user experience. They enable visitors to read and understand your content faster. Grammar checkers and readability checkers provide similar benefits. They find and correct mistakes in the text that hinder comprehension and readability. Ultimately, this results in better SEO because of content quality and good UX signals that arise as a result of that quality.

• Predictive Analysis

With AI-powered data processing, it is possible to profile customer archetypes and then use targeted marketing to maximize conversions and ROI. This is done with the help of tools that can use machine learning to process data. Nowadays, you can just get this functionality from a company that offers data processing, like IBM, Microsoft, or Amazon.  

However, you need to buy or collect the data for processing. While buying is a convenient option, it is possible to collect this data manually through the use of tools like Google Analytics, IP location, or data scrapers. Marketers can use such data processing power to find patterns in collected user data and then use it to predict what they will do next. 

Common things that we marketers can uncover from this kind of analysis are.

• Customer spending habits
• Customer’s product research cycle.
• The next product that they might need (in the context of older purchases)
• Customer buying power

This information helps marketers make informed decisions and approach their customers at the right time in the right way. 

This approach does have a steep initial investment, but it also provides lots of gains in both the short and long term. 

Conclusion 

So, there you have it: four strategies for digital content marketing that utilize AI in some shape or form. The most straightforward way of using AI is to use an LLM like ChatGPT for content creation. Other methods included using AI-powered keyword research tools, SEO content optimization tools, and the use of AI data processing to do predictive analysis. All of these strategies yield high returns if done correctly. 

So, if you are a company still on the fence about AI, now is the time to get into it.