As you no doubt know, AI-generated content is on the rise, and companies want nothing more than to keep up while maintaining the authenticity and quality of content they publish and curate.
That’s why content marketers, business owners, and creators are increasingly looking to AI detection tools to maintain their credibility while building trust with new visitors.
AI-detection tools are crucial in verifying authenticity, but, much like AI content itself, it’s certainly not perfect. That’s exactly why knowing how to get the most from AI-powered content review workflow is very important for your long-term success.
With that in mind, we will look at six best practices to remember if you’re using AI for content review.
1. Choose AI Tools Based on Your Needs
The first step in selecting an AI detection tool is defining your business goals and requirements of the content.
Ask yourself, are you most concerned with detecting plagiarism, catching AI-generated text, or a mix of both? There are different tools designed to handle particular needs, so finding the right tool for the job means understanding how you intend to use it.
Beyond basic functionality, I think it’s important to consider things like accuracy, pricing, integration, and other features. These will all vary from product to product and should be considered before you invest in a tool — especially if it’s going to be a long-term investment.
For example, if you’ll be using your detector on your WordPress website, is there a plugin that can make detection fast and easy, or will you have to manually copy and paste text every time?
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2. Establish Clear Guidance on Content Authenticity
An internal authenticity policy guarantees that all of the content your team posts, regardless of platform, is consistent.
Due to the popularity of generative AI, brands are setting policies regarding what defines authentic and accepted content. People want to share content with human emotions and experiences, but they also know AI is a powerful way to speed up the process.
So, you need a system of checks and balances to use AI correctly. This is an important guideline you’ll want to communicate to your team.
Since AI detectors pick up patterns, there will undoubtedly be some “marked AI ” in most articles. It’s up to you to decide what percentage is acceptable.
In my experience, most publications consider 30% or less to be an acceptable threshold. You may want to think this over and decide where you want your content to sit on this spectrum.
If your writers are using AI, it’s worth remembering that a balanced approach is the best strategy. Too much AI and the content sounds boring and flat. On the other hand, writing each article from scratch will take significantly longer and leave writers prone to writer’s block.
3. Train Your Team on the Proper Use of AI Detection Tools
Introducing an AI detection tool is great, but you’re not going to maximize the value if your team doesn’t know how to use it. For context, 64% of business owners say introducing AI has helped to improve team productivity!
It’s important to equip your team with a deep understanding of how to interpret detection results and adjust their content while avoiding overreliance on this tool.
Luckily, there are plenty of ways to train your team on the right and wrong ways to use AI detectors. You’ll want to have plenty of hands-on training sessions where you go over examples and share how you’ve managed to use these tools to improve productivity while also leaving some room for manual problem-solving.
You’ll also want to give detailed instructions on when and how flagged content should be reviewed and corrected so the review process is smooth and effective.
I highly recommend teaching about the limitations of AI tools and detectors. Help your team understand that while AI detection tools are helpful, they are far from perfect. This realization will help them use the tool as a supportive resource, not as the absolute authority.
With these skills, you can empower your team to confidently use AI content detection tools correctly within your workflow.
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4. Regularly Update and Calibrate Your AI Tool
It’s very important to update and recalibrate your AI detection tools to keep them accurate and effective. The older version of a tool might not recognize the latest AI advancement and might miss or misidentify the AI content, which can cause a lot of problems for yourself and your team.
The best way to do this is to check for updates every so often. In many cases, this will happen automatically, but that doesn’t mean you shouldn’t double-check, just in case.
If you are all up to date, the next step is to adjust your tool. This could mean including samples of past work or including a text snippet that sums up your brand identity and voice so it knows what to look for.
You’ll also want to test any changes you make with verified content that is 100% human, 100% AI, and a mix of both. This will help you see how accurate your tool is when examining known content.
5. Integrate AI Detection into Your Workflow
For AI content detection tools to be a valuable part of your content strategy, you have to find ways to fit it into your content review workflow.
When they’re integrated into your day-to-day work, it becomes a natural step in what your team is doing instead of a distraction.
Let’s assume you followed the first tip and bought a tool that works with your favorite hosting company or document editor. In this case, you should be able to quickly and easily add your detector to the mix.
Next, you’ll want to update your visual workflow and team documentation so team members know how and when to use the tool.
If, for example, you want to use an AI detection tool while curating content for your site, you’d want to let team members know whether they should do this at the end of each content review or in bulk when they’ve manually reviewed 5 or 10 posts.
This step allows you to maintain a high level of control over your content with less manual effort, so both quality control and productivity are assured.
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6. Always Use Your Best Judgment
While AI detection tools are useful in their own right, they are not infallible. Generally speaking, they do not understand nuance or human emotion well, which I’m sure is obvious if you’ve ever read an article that is 100% AI-written.
This is exactly why I believe manual reviews are still necessary to avoid false flags or to identify if your detector overlooked nuance in an article.
My advice here is to always double-check high-stakes content. For critical content pieces, like press releases, human review should be the final step to confirm that the piece is good to go.
Since AI might misinterpret cultural references, humor, or unique brand identity, a human eye is key to making sure content is authentic and valuable to your target audience.
Final Thoughts
AI content detection tools can be very important for businesses that need to keep up with the increase in AI-generated content while ensuring brand integrity. We found that 79% of business leaders expect generative AI to transform their organizations within the next three years, so now is the time to invest in the right tools.
By following these best practices—selecting the right tool, setting clear authenticity guidelines, training your team, regularly calibrating the tool, integrating detection into your workflow, and applying judgment—you can ensure effective content authenticity management.
It can take some time to find the right balance between AI efficiency and human skill. AI detectors give you a look at your review process from a new angle, which could be just what you need to take your content marketing strategy to the next level.
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