How to Incorporate AI in Your Content Creation Process
  • 9-minute read
  • 20th December 2022

How to Incorporate AI in Your Content Creation Process

The idea of artificial intelligence taking over the world isn’t a new concept. Even the mention of AI can paint a picture of world-ending robots terrorizing humankind. Never fear, though – you won’t need an 80s action hero to save you from AI-generated content, but you will need a talented editor.

Scaling content has become a challenge for many content creators in the fast-paced world we’re living in, and AI is an increasing part of the equation. The market for AI-powered programs is expected to hit $271 billion by 2027. Companies are rushing to keep up with the demand for new and original content, and they’re searching for tools that can help.

There are advantages and disadvantages to machine-generated content. These programs use natural language processing and natural language generation (NLG) technologies. These methods use algorithms to process colossal amounts of data and content across the internet to create content based on the results. If you’d like to learn more about NLG, here is a Forbes article by Proofed’s founder, Adam Harvey. 

What about the price of all this? Costs vary widely across AI content creation programs, so you can expect to pay anywhere from $10 to over $200, depending on the software’s capabilities. Some of the most used programs on the market now are Jasper AI, Copy AI, Frase IO, Jarvis AI, and Outranking AI.

5 Ways AI Can Grow Your Content Creation

Each program has different features that scale the content creation process. How you incorporate them into your operation hinges on the role you want them to take on. AI content generators can help grow your content creation by:

1. Personalizing Content for Your Target Market

AI learns your market by consuming myriads of essential information from related content across the web. Data collected by your organization can also be inputted into the program, such as customer reviews, product information, and even comments on social media. 

After gathering this data, the AI ranks it according to its significance and provides your team with personalized language that’s SEO ready for use in social media posts, blogs, and landing pages. It gives the idea of “knowing your customer” a whole new meaning. 

The downside of personalized AI-generated content is that your customers and clients become walking datasets. The programs are unable to account for human emotion and lack the ability to empathize. In one study, empathy was proven to enhance creativity and originality. Considering the feelings of others has a major impact when creating something new for a particular market.

Content creation can be personalized with the use of AI-powered tools, but if you want to ensure that your content connects emotionally with the reader, a human’s ability to understand the feelings of others is invaluable.

2. Generating and Researching Ideas

A major battle faced by content creators daily is drumming up original ideas for new content and doing the accompanying research. Creators spend countless hours staring at a blank screen and trying to will new concepts onto the page.

AI content-creation programs have the ability to generate ideas and also research them. The ideas are customized by analyzing customer data and searching keywords that successfully engage your target audience. The science side of content creation lies in the data, and most content creators don’t have the time or energy to sort through massive datasets while researching ideas.

Research also consists of reading other content geared toward your customer base, and when you’re producing content at scale, there just isn’t enough time to study every article or social media post related to your industry. AI can do much of the research legwork, and it can even provide an outline of those ideas to help you write your next post.

Pro Tip

It’s necessary to fact-check the specifics generated by AI writers. Machines don’t have common sense, so when it comes across data that would seem suspicious to the human eye, the program assumes the data is accurate.

3. Creating Outlines, Headlines, and Entire Blog Posts

The pressure on content creators is ever-increasing. There is a dire need to create new content with new concepts, titles, headlines, and prose to match the pace of consumer demand. The thirst for originality can’t be quenched. The streaming war between Netflix, Disney+, Hulu, and others is just one example of the battle for original content that is changing the media landscape.

This may not sound applicable to your business unless you’re writing a script for a sitcom, but what’s happening in the all-encompassing content world affects writing. To keep up, AI tools can create titles and headlines that are applicable to a certain topic or idea. They can also assimilate these headlines into full outlines, or they can craft emails to target markets. In some cases, full articles are written by our AI-driven counterparts. 

The dangers of fully relying on AI for every sentence of your next article lie in the details of quality writing. The prose may be error-free, but the tone might not be suitable. If you’re writing an upbeat piece, but the article sounds like a brochure for a funeral home, then you may have a problem. AI programs also have a difficult time producing work that fits with your desired flow and pace. 

Another pitfall is a diluted brand voice. How you survive in the ocean of content doesn’t come down to the originality of just one article or social media post – your original brand voice is the driving force of communication between you and your readers. Putting out inconsistent or inaccurate material is the equivalent of throwing chum in the content waters. Therefore, technology isn’t always the answer

Entire paragraphs or pieces written by machine-generated content tools also need to be checked for unintended plagiarism. If the text created sounds like it has a human touch, chances are it was copied almost verbatim from other content.

4. Scaling Content More Efficiently

You may have mastered your social media posts, emails, and blog material, but are you able to expand it? One of the challenges of growing content is simply having the time and resources to keep up a consistent pace without sacrificing quality.

AI content-creation tools equip writers with a way to delegate time-consuming tasks. You’ll be handing off those to-dos to a rapidly evolving program instead of another team member. This is exceptionally helpful for repetitive tasks that drain energy and time.

This process doesn’t happen overnight. Refining the process that works best for your workflow takes time and effort. AI doesn’t perform content-creation miracles, but it can hand the creative surgeon the tools they need for precision and flawless execution. Check out our 10 ways to scale content creation.

5. Upgrading Your Content Creation Workflow

One of the most beneficial aspects of AI is its enhancement of workflow. It provides an upgrade that polishes your workflow, elevates your team, and organizes your process. Think of an AI content-creation program as a member of the team.

Cohesive teams are structured so that each member has a clearly defined role. Give your AI program a clear assignment. For example, it could handle the headings for an article or outline. If an AI tool handled just that assignment, then you or your team could build upon that framework by focusing on the writing and fine-tuning the text. 

If you choose to have AI play a greater role in writing whole paragraphs or entire articles, you could find yourself with a large amount of text that’s not well written or relevant. Machine-generated content is created by an algorithm that lacks the ability to connect with a reader emotionally. No matter what role AI writers play in your content process, the human element is vital to quality writing.

Partnering With AI

The human element is important even before an AI-powered content generator gives you a single word. Inputting a strong brief into a program will ensure the best results. Be sure to have a specific goal for the piece, use keywords and a description/summary of the overall message, and input the tone you’re aiming for, if possible. Learn how to write an effective content or editing brief here.

Most issues with AI have a simple solution: human intelligence. Good writing always connects with people on a personal level. Editors and proofreaders ensure that an emotional connection is made by refining the tone, checking the context, and delivering the intended message. 

Machine-generated text may not have spelling or grammatical errors, but it often lacks flow and continuity between paragraphs. Humans can read the pieces aloud and detect these kinds of errors, and that’s something that AI content writers are not capable of. Exceptional editors can take the content generated by AI and turn it into well-written prose.

Summary

There are many ways to use AI in your content process, but it should serve as an addition rather than a replacement. Using these programs to create outlines, write introductory paragraphs, or simply generate new ideas can speed up your workflow.

AI-powered content is not ready for publication, though. It’s important to edit each piece carefully and look out for errors in the tone of voice, flow, and context. These tools are not capable of relating to or understanding human emotion, so each white paper, email, or blog post will need a human touch to be effective. Partnering with AI writers can provide value, but it’s always best to err on the side of human.

Ready to Upgrade Your Content?

AI-powered content creators are far from being able to replicate human writing. Our editing team can partner with you to create next-level content that connects with your audience in a very human way. 

We’ve helped thousands of businesses across the globe, from Fortune 500 companies to award winning start-ups. Learn how we can help your team by setting up a time to talk with our business team today.

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