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.

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. Make sure you get your AI-generated content proofread and edited by a human before publishing!

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.