AI detection scores: what are they, and what do they mean?
In this guide, we’ll take a look at one aspect of how AI detectors work: the AI score and what an AI score means.
In brief, an AI detection score (also known as an AI score) is the score that an AI checker provides after scanning text. It indicates whether the text was Likely AI, human-written, or Mixed writing.
Keep in mind that the method for presenting (and determining) AI detection scores can vary by brand and AI detector, or type of AI detection software.
Here, we’ll focus on the industry-leading Originality.ai AI Checker and what the Originality.ai AI detector score means.
At Originality.ai, AI scores show the percentage of your text that is Likely AI, Likely Original, or Mixed writing, so that you can see how much of your writing involves AI.
Our AI detector provides an AI Score that shows the percentage of AI involvement in a piece of content, and then classifies it as Likely AI, Original, or Mixed writing.
Once the Originality scan is complete, you can dig deeper beyond the AI score.
We provide sentence-level highlighting showing what parts the Originality AI Detector found were the most likely to be AI-generated.

To demonstrate the in-text highlighting, we prompted ChatGPT to generate 15'0 words on digital marketing:

Then, when we ran that through the Originality.ai AI Detector, you can clearly see the ChatGPT-generated text highlighted in dark red to indicate that it is Likely AI.

Now, let’s compare that with some original content, written by a human from the beginning of this article.

Note: The patterns that our AI picks up on cannot be translated into a simple list of ‘here are x reasons why your content is identified as AI-generated’.
Wondering how AI detection works? Our AI detector takes a holistic and intensive approach to analyze an article to determine if it was AI-generated. Read our in-depth article: How Does AI Content Detection Work? for more insights.
Yes, our AI detector has demonstrated exceptional accuracy in both internal tests and multiple 3rd-party studies:
Is the score perfect?
At Originality.ai, our machine learning engineers are always running tests on the latest AI models (such as GPT-6 Astra).
However, no AI detection tool is perfect. The tool can produce incorrect predictions and predict that content that was human-written is AI-generated (also known as a false positive - more on that later in this guide).
Originality.ai provides distinct models that are tuned to meet the needs of specific use cases.
The AI detection models that are currently available include:
Originality.ai 5.0
Originality.ai 5.0 Max
False positives are painful when they occur, and we are working hard to continually drive down false positive rates.
A false positive occurs when an AI detector thinks something was AI-generated when, in fact, it was written by a human.
We offer Browser extensions to assist in transparently showing you the writing process that truly created it (whether human-written or AI-generated).
We appreciate the valid question, “Why was my article identified as AI?” Below are resources on how to prevent and reduce the risk of false positives.
The answer is no.
A Plagiarism Checker provides hard proof that plagiarism occurred, while an AI Detector provides a score on whether text is Likely AI, (Original) human-generated, or Mixed writing.
Here’s a quick look at some of the differences between plagiarism checking and AI detection:
The same approach should not be taken with Plagiarism and AI detection. For instance, a text might be AI-generated but not include plagiarism. Alternatively, a plagiarized article might be human-written.
This is a complex question. AI detection and plagiarism checking are different, just as we outlined in the chart above.
The concern around AI plagiarism typically surfaces around training data issues. While AI typically generates content that is new, OpenAI is facing 50+ lawsuits, including cases involving copyright or training data.
So, it’s important to review AI-generated content carefully to make sure the copy doesn’t closely replicate existing material as a result of training data concerns.
Learn about AI Detection and AI Detection Accuracy:
Learn about the impact of AI across industries:
AI Studies on Recent LLMs
