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Use our FREE AI content checker to quickly identify areas where you can improve AI content quality on everything from thought leadership articles and SEO blogs to social media updates.
In the past there was no need for an AI content checker to figure out whether a text or image was generated by AI or not. Because AI content quality was so low, we could simply discard all the bad content.
But we’re reaching a point where AI content quality isn’t an oxymoron anymore.
Today, access to passable AI content has solved one of the bigger challenges when it comes to content automation (creating content at scale), a new challenge has emerged—AI content quality.
Many content professionals are either drawn or pushed towards using AI tools to speed up content creation. Everyone wants high quality content, they want it at scale, and they want it now. But no one wants to pay a premium price on content that was “easy” to create.
This may be why the internet is being flooded with AI content detectors at a rate that almost matches the explosive growth of AI content itself. And everyone wants to have the best tool, so they resort to complex engines and AI powered content checkers, to make sure that they can boast the highest AI content detection accuracy.
But before you go hunting for tools that use deep magic and AI engines to detect whether a piece of content was written by AI. Because finding out whether or not a specific content piece was generated by AI isn’t necessarily the question you should be asking.
Instead, you should be asking yourself whether a piece of content sounds like it was generated by AI.
In a study on AI content quality researchers from University of Central Florida found that readers (and consumers) don’t actually dislike AI content because of the quality.
In the study, the participants were first presented with both AI generated stories and human written stories. And afterwards they were asked to rate the quality of the stories.
In cases where a participant was told that a story was written by AI, they would consistently rate the quality of the story lower even if the story had actually been written by a human.
What this tells us, is that we don’t dislike AI generated content as much as we dislike content we think has been generated with AI.
Looking at the backlash to Coca Cola’s Christmas advertisements is an easy way to exemplify this. The company publicly said that they created their 2024 and 2025 Christmas ads with AI. The advertisements themselves follow the model that Coca Cola has used for their Christmas ads since long before AI was even a thing, but they still received a lot of backlash.
Some critiqued the quality of the ads, but most of the critique was about the brand’s decision to use AI instead of employing writers, animators and visual artists etc.
This suggests that the purpose of AI content moderation isn’t because of the quality, isn’t to make sure the quality of your AI content is good enough. It’s instead to make sure that your content doesn’t look and sound like it was generated by AI—even when it was generated by a human.
Our AI detector lets you check if your content looks and sounds like AI.
Our AI content checker is ironically not powered by AI. Instead it uses a simple formula to analyze text patterns that are common in AI-generated writing. Because of this, the AI detection is super fast, but it also means that there will be false positives. A 100% human written text could be flagged as AI.
After you have scanned your text you get a percentage match along with suggestions on what to correct. Whether you input AI generated text or one you wrote yourself, you can use the result to find out how to improve your text.
Here are four steps you should include in your AI content review process:
The first step to making sure your AI content quality is up to snuff, is to ensure that it doesn’t sound or look like AI. This step can be automated by using an AI content checker or a similar tool, at least in the case of an AI content document review.
You want to make sure that overly formal language structures and adherence to grammatical rules are toned down. Especially when writing on complex topics AI will have a tendency to be quite formal and very correct. But humans are a lot more chaotic (even when they are trying to be structured).
AI content accuracy isn’t always the best. Even when you use more expensive LLMs and AI engines, they have a tendency to make claims that aren’t true.
It’s not because they are trying to mislead you, but the way many AI’s process and restructure data, means that they can’t actually read text based information, and won’t understand what a pronoun is, and they surely don’t understand context. This can result in cases where they take information from a text that includes more than one topic and blend the information together.
Because of this, it is extremely important to verify claims and factual statements during your AI content review.
Just like fact checking AI is necessary to avoid misinformation in the content you publish, a plagiarism check needs to be part of any AI content moderation.
While AI writing has gotten a lot better, as long as it is created by restructuring writing patterns from other texts,it will never truly be original. Now, it doesn’t have to be 100% original to be useful, but in a world where intellectual property is enforced, you would do well to run your AI generated articles through a plagiarism checker.
The most important step of any AI content review is the human factor. While both from fact checking, recognizing obvious AI patterns, and avoiding plagiarism can be carried out with automated means through either formulas or AI engines, you need eyes on your content before you publish it.
In a study by McKinsey, only 27% of respondents said that all of their company’s AI content was reviewed by a human before being used, and in the same study 30% said that less than a fifth of their company’s AI generated content was reviewed.
