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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 piece of content was generated by AI or not. AI content quality was so low that we could write off content as ‘slop’ simply by looking at it.
That’s not the case anymore.
While there are still challenges when it comes to AI content creation, we’re reaching a point where content quality and AI isn’t a complete oxymoron.
Access to passable AI content has seemingly solved one of the bigger challenges when it comes to content automation—creating content at scale. But now a new challenge is in front of us—improving 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.
In a post on LinkedIn, Neil Patel, one of the world's most influential digital marketers, shared a similar result. In a test his team saw the read time drop by almost 50% for articles that were labelled as "written by AI". In the test, which included more than 1.8 million visitors, one third of the articles on a site were labelled as "written by AI" even though they were all written by a human.
Interestingly, the fact that we’re constantly seeing so many negative reactions to AI generated content seems to have a lot of tech leaders perplexed.
Microsoft CEO, Satya Nadella, even began 2026 with an article on sn scratchpad where he urged everyone to stop using the word ‘slop’ to define AI generated content and embrace the future of AI.
Looking at the backlash to Coca Cola’s Christmas advertisements provides us with another way to understand the task of AI content moderation.
Coca Cola has been very public about their use of AI in creating the 2024 and 2025 Christmas ads. The advertisements follow the pattern that Coca Cola has been using for their Christmas ads decades, but they still received a rather negative reception.
And while some comments did hint at the low visual quality of the ads, most of the criticism was about the brand’s decision to use AI instead of employing writers, animators and visual artists etc.
In fact, in a consumer survey from last year, 29% said that their primary concerns were related to job displacement.
Combine all of this, and we it’s not a big stretch to land on the conclusion that the purpose of AI content moderation isn’t primarily to make sure that the quality of your AI content is good enough. It’s not even something that should be exclusive to AI generated content.
The primary purpose of an AI content review seems to be ensuring that your content doesn’t look and sound like it was generated by AI—whether it was generated by machine or 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.
