How to Use AI for Content Creation

AI can offer serious benefits as part of your content creation strategy, but relying on AI for content creation without supervision can hurt your brand and your reputation, destroying the trust you’ve built with your target market. Today, we’ll discuss how to use AI for content creation to get the most from the tool without doing this damage.

ai for content creation
Photo by Sanket Mishra: via Pexels

AI for content creation

AI tools are great for helping businesses do all kinds of things that make content creation faster and easier from writing drafts of every type of content to designing images to incorporate within your content. AI is so useful for content creation that many tools you’ve come to love include AI features. For instance, you’ll find AI incorporated into Grammarly, most marketing automation software, including Hootsuite, and even Google offers AI solutions to many of your search queries.

These tools allow you to speed up your content creation process, from strategizing to publication, when you use the right AI content tools the right way. However, AI isn’t a magic wand so you can’t just turn AI loose and let all your content creation professionals go. You need to know how to use it to get the most from it if you want it to work to fulfill your content needs. It can take some practice to learn how to work with AI tools and work out which tools are the best for the jobs you need to do.

Maybe more important is knowing what AI can’t do for you and the hidden dangers in using the content created through AI as part of your marketing strategy.

Understand what AI can (and can’t) do

AI uses sophisticated software that simulates human communication. Primed with data scraped from a nearly infinite number of online sources, the AI takes a prompt provided by the user to search its databases to find content that addresses the prompt. Commonly, this data takes the form of human-like conversation without attribution from the sources where the information emanates. Hence, the information provided for your prompt is only as good as the information it accessed to build your content. Later, we’ll discuss some problems created by using AI for content creation, for now, it’s important that you understand the process to aid in our discussion.

To get the most from using AI for content creation, you need to have a good understanding of what AI can and can’t do for you. AI could technically generate any content you want, from emails to blog posts to posts on most social media platforms. AI can also create unique images that make your content pop. But that doesn’t mean you can mindlessly count on any AI tool to support your brand.

You need to decide when you think it does a good enough job for the task at hand and when it’s better for helping you get started. AI tools can help you with your content in all sorts of ways, from giving you the best keywords to use to creating outlines for articles or writing social media captions.

What AI can’t do is work independently. For instance, you’ll find everything from factual errors to bias to off-brand in the result, regardless of which AI tool you choose. You may also find it doesn’t follow your style guide when it comes to colors, even when provided the hex codes you want to use in creating images. I also find it challenging to create images without text, as any text created through AI tools, such as Dall-E, contains nonsense words. All the images created require me to edit them using Adobe Photoshop or a similar tool, which is time-consuming.

AIImage from Pexels – CC0 License

How to use AI for content creation

Learn how to create a good prompt

To make AI generation tools work for you, you need to know how to provide and refine the prompts provided to start the AI generation process. AI tools the user to provide useful prompts to help them do the best job possible. The more detailed and specific the prompt provided, the better the result provided will be. This means that when you provide a prompt, you might need to adjust it a few times to get the results that fulfill your content needs. However, depending on the tools you using, AI can also remember some of the parameters you provide, so the tool gets better at providing what you want each time you use it.

Try a range of tools

There are different types of AI tools that can do a range of jobs for you. Some common AI tools for content creation are ChatGPT (Dall-E is part of this tool), Google, Grammarly, and Canva, although marketing automation tools like Hootsuite can create short content for social media posts. Most of these tools require a subscription, although the owners might offer a free version with limited functionality.

Entering a prompt into an AI tool generates content you might use as a starting point. However, this usually produces content that is fairly obviously AI-generated. Currently, Google and other search engines don’t penalize the use of this type of content, but it’s likely that will change in the future, so I don’t advise doing so.

If you want to improve on it, there are also tools to humanize AI text so it reads better. Don’t just try different types of tools, either. Not all tools are the same, even if they do the same task. Some might produce better results than others.

As I mentioned earlier, crafting images has additional challenges, as you can see from this image created by Dall-E, which is full of nonsense words and strange letter-like text.

content marketingDon’t leave it all to AI

You may find AI really helpful in creating the first draft, but I would never advise clients to rely on AI to create a final version of a post. Instead, it’s best if you use AI tools as a helping hand. AI can save you a lot of time and help you think about aspects of a post you might not initially consider. Make sure you read any content through to check it and determine if it’s up to standard.

Some problems you might find with AI-generated content include:

  1. False statements or statements reflecting older thinking on a topic
  2. Off-brand voice
  3. A lack of source citations, which is critical for SEO as links to high DA content shows you’re an expert or at least consulted experts on a topic
  4. Content is commonly less than 500 words, while current recommendations are that blog posts contain more than 900 words. Content that ranks well on search engines is often between 1500 and 2000 words.
  5. Content generated by AI often fails to capture all aspects of a topic.
  6. If you consistently post on a topic, you will likely find a lot of duplicate content in the AI-generated draft.

Hence, starting a blog post using AI can save you a lot of time, but you still need to spend a significant amount of time editing, finding sources for backlinks, adding images, improving content, adding depth to each point contained in the AI-generated draft, and improving the voice to match your brand.

Conclusion

AI content generation provides a lot of benefits, but it’s important to work out the best ways to use it so you can get what you want from it.

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