Do AI writing detectors actually work? We put 5 to the test. 71%

By David Nield28%

7/19/2026, 7:00:00 PM

BS Summary: This article contains 29 faulty reasoning types, including Confirmation Bias, Appeal to Authority, and Self-Serving Bias, with Attempt to Sell a Product or Service as the most egregious example at 28.3% saturation with 308 hits. Analysis detected 2,535 faulty-reasoning hits from 1,088 analyzed words, generating a BS Score of 63.6% and a BS Rank of 71% (6,406 of 21,752 articles). This article is worse (more manipulative) than 70.60% of the article peer group.

Whether you’re marking essays or reviewing job applications or merely browsing the web and scrolling through social media, it’s a sign of our times that you might find yourself wondering—did an AI write this ? 
There are, supposedly, telltale signs of AI writing, including the em dash . 
There are also multiple tools available that check pieces of writing against combinations of these AI tics to tell you whether or not something was written by a human. 
Can AI-produced text be as regularly identified as these tools claim, however? 
We decided to put them to the text and test: five different checkers against a selection of samples written either by me, ChatGPT, Gemini, or Claude. 
I picked out a selection of introductions from articles I’ve recently written (all without the help of AI, by the way), then had AI bots write their own 150-word versions based on each article’s title and premise. 
Then, it was over to the AI detectors to see if they could tell the difference, and here are the results. 
Pangram delivered on its promise to detect AI writing. 
David Niel 
Pangram promises to be “an AI detector that actually works.” 
You can run up to four queries a day for free, with much higher limits and extras such as plagiarism detection available with a subscription starting at $20 a month. 
The good news for me was that both samples of my own writing showed up as 100 percent written by a human being—and Pangram declared a “high” level of confidence in each decision. 
Whatever my writing style is, it’s not AI-like, apparently. 
I gave Pangram some AI-written introductions from ChatGPT and Claude, and it correctly identified them both as 100 percent AI-written—top marks for Pangram. 
It also explained some of the giveaways, like the phrase “from the moment you …”. 
The Grammarly AI detector has a straightforward interface. 
David Niel 
Next up, Grammarly . 
It’s been around for years as a spelling and grammar helper, and now it does AI and AI detection as well. 
You get three free AI checks per day, with paid plans starting at $12 per month offering much higher limits (and a host of other features). 
Again, the results were reassuring for how un-AI-like my writing is: Both my writing samples got a perfect score for being written without a machine. 
The text samples came back as having 0 percent AI text or AI text patterns in them. 
The AI samples I tested Grammarly with were from Claude and Gemini, and these were marked as being 68 percent and 66 percent AI-written, respectively. 
Grammarly caught the AI characteristics, but wasn’t fully convinced. 
GPTZero is on a mission to “preserve what’s human.” 
David Nield 
The stated aim of GPTZero is to “preserve what’s human,” and that includes being able to spot sentences put together by AI. 
On a free account, you can scan up to 10,000 words every month, while paid plans start at $23.99 per month, letting you scan a lot more words and access a lot more features. 
By this stage, I was getting confident that my writing was free from whatever it is that these detectors are looking for, and sure enough, GPTZero marked both my samples as written by a person: “We are highly confident this text is entirely human,” I was told. 
When met with writing samples from Gemini and ChatGPT, GPTZero correctly spotted them as AI-generated text they were—and even pointed out the most AI-like sentences (though honestly, I struggled to spot the patterns in these flagged phrases). 
You don’t even need to create an account to start checking with Scribbr. 
David Nield 
Our fourth AI-detecting tool is Scribbr , which offers a variety of other editing and proofreading services too. 
Its detector tool is completely free to use, and you don’t even need to register an account to start checking text. 
My own samples were cleared as being 100 percent written by a human. 
Although Scribbr does have a disclaimer saying that AI detectors aren’t always fully reliable, it was certainly accurate in assessing my own writing. 
However, the samples I fed in from ChatGPT and Claude were also marked as fully AI-free, which wasn’t the case—and Scribbr seemed very confident in its conclusions. 
Whatever it’s doing to detect machine-made text, it needs to improve its methods. 
Copyleaks lets you get started with your own text or with an example. 
David Nield 
The fifth and final checker I tried was Copyleaks , which has tools for detecting AI images and videos, too. 
I was able to scan four samples free of charge, though paid plans—starting at $16.99 a month—give you access to more detailed reports and extra features. 
Like the other AI writing detectors in this list, Copyleaks gave my writing samples the all clear: They were both marked as being 100 percent free from AI. 
With these tools, at least, it doesn’t seem like I’ll be accused of writing with AI anytime soon. 
When I tried writing samples from Claude and Gemini, the former was marked as being 0 percent AI-written, and the latter was rated as 100 percent AI-written—so it was half right. 
Like Scribbr, there seems to be something off with the AI detection calibration. 
I wasn’t quite sure what to expect from these AI writing detectors, which was part of why I wanted to test them out. 
Personally, I feel like I’ve got a pretty good idea of what AI writing looks like, but it’s hard to identify specific patterns and tells (well, except for ‘it’s not x, it’s y’). 
Based on my tests, these AI detectors really do work—or at least most of them, most of the time. 
Human-written text was identified as such in every instance across all of these tools, perhaps showing it’s easier to tell what hasn’t been written by AI than what has. 
AI detection wasn’t as foolproof, though it depends on the checker you’re using. 
If you’re serious about spotting AI writing, my advice would be to use two or three of these checkers in tandem, alongside other checks—and perhaps to upgrade to tiers where you get detailed reports on the detector’s reasoning. 
Disclosure: Ziff Davis, Popular Science’s parent company, filed a lawsuit against OpenAI in April 2025, alleging it infringed Ziff Davis copyrights in training and operating its AI systems. 
The post Do AI writing detectors actually work? 
We put 5 to the test. appeared first on Popular Science . 
Article reasoning-pattern comparisonThis article: 22.5%David Nield: 3.6%Popular Science: 2.1%Confirmation Bias22.5%This article: 0.0%David Nield: 1.1%Popular Science: 0.8%Anchoring Bias0.0%This article: 6.3%David Nield: 3.0%Popular Science: 2.6%Availability Heuristic6.3%This article: 1.2%David Nield: 0.5%Popular Science: 1.2%Representativeness Heuristic1.2%This article: 0.0%David Nield: 0.0%Popular Science: 0.5%Hindsight Bias0.0%This article: 8.7%David Nield: 4.1%Popular Science: 3.0%Overconfidence Bias8.7%This article: 2.3%David Nield: 4.4%Popular Science: 3.5%Framing Effect2.3%This article: 1.7%David Nield: 1.3%Popular Science: 0.4%Loss Aversion1.7%This article: 0.0%David Nield: 1.0%Popular Science: 0.7%Status Quo Bias0.0%This article: 0.0%David Nield: 0.2%Popular Science: 0.1%Sunk Cost Effect0.0%This article: 6.5%David Nield: 5.3%Popular Science: 4.7%Optimism Bias6.5%This article: 1.2%David Nield: 0.7%Popular Science: 0.7%Pessimism Bias1.2%This article: 4.4%David Nield: 2.8%Popular Science: 3.0%Negativity Bias4.4%This article: 18.9%David Nield: 3.4%Popular Science: 0.7%Self-Serving Bias18.9%This article: 0.0%David Nield: 0.2%Popular Science: 0.3%Fundamental Attribution Error0.0%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%Actor-Observer Bias0.0%This article: 0.0%David Nield: 0.9%Popular Science: 0.4%In-Group Bias0.0%This article: 0.0%David Nield: 0.0%Popular Science: 0.2%Out-Group Homogeneity Bias0.0%This article: 10.2%David Nield: 3.6%Popular Science: 2.1%Halo Effect10.2%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%Horn Effect0.0%This article: 3.0%David Nield: 0.4%Popular Science: 0.0%Dunning-Kruger Effect3.0%This article: 1.6%David Nield: 0.9%Popular Science: 0.9%Recency Bias1.6%This article: 4.0%David Nield: 0.6%Popular Science: 0.3%Primacy Effect4.0%This article: 5.5%David Nield: 0.3%Popular Science: 0.1%Blind-Spot Bias5.5%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%Ad Hominem0.0%This article: 0.0%David Nield: 0.3%Popular Science: 0.1%Straw Man0.0%This article: 20.7%David Nield: 2.4%Popular Science: 4.3%Appeal to Authority20.7%This article: 0.6%David Nield: 0.9%Popular Science: 0.8%False Dilemma0.6%This article: 0.0%David Nield: 0.2%Popular Science: 0.3%Slippery Slope0.0%This article: 0.0%David Nield: 0.2%Popular Science: 0.1%Circular Reasoning0.0%This article: 14.2%David Nield: 4.2%Popular Science: 4.1%Hasty Generalization14.2%This article: 0.0%David Nield: 0.0%Popular Science: 0.1%Red Herring0.0%This article: 0.0%David Nield: 0.4%Popular Science: 0.5%Bandwagon0.0%This article: 4.0%David Nield: 2.1%Popular Science: 2.9%Appeal to Emotion4.0%This article: 0.0%David Nield: 0.7%Popular Science: 0.6%Begging the Question0.0%This article: 2.7%David Nield: 1.0%Popular Science: 2.3%Post Hoc (False Cause)2.7%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%Tu Quoque0.0%This article: 6.9%David Nield: 0.9%Popular Science: 0.5%Burden of Proof6.9%This article: 0.0%David Nield: 0.2%Popular Science: 0.5%Appeal to Nature0.0%This article: 0.0%David Nield: 0.4%Popular Science: 0.4%Composition/Division0.0%This article: 11.4%David Nield: 1.8%Popular Science: 2.2%Anecdotal11.4%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%No True Scotsman0.0%This article: 14.7%David Nield: 6.3%Popular Science: 2.0%Ambiguity (Equivocation)14.7%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%Gambler’s Fallacy0.0%This article: 0.0%David Nield: 0.1%Popular Science: 0.2%Middle Ground0.0%This article: 3.0%David Nield: 0.2%Popular Science: 0.0%Personal Incredulity3.0%This article: 2.1%David Nield: 0.7%Popular Science: 0.2%Special Pleading2.1%This article: 0.0%David Nield: 0.0%Popular Science: 0.1%Genetic Fallacy0.0%This article: 12.5%David Nield: 1.4%Popular Science: 1.5%Unattributed Quote12.5%This article: 0.0%David Nield: 0.4%Popular Science: 0.8%Quote-first Misdirection0.0%This article: 10.3%David Nield: 5.1%Popular Science: 3.8%Biased Writer Voice10.3%This article: 3.5%David Nield: 2.8%Popular Science: 1.3%Indoctrination3.5%This article: 0.0%David Nield: 0.2%Popular Science: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%David Nield: 0.0%Popular Science: 0.0%Politically Right Leaning Bias0.0%This article: 28.3%David Nield: 7.6%Popular Science: 2.7%Attempt to Sell a Product or S…28.3%

1088 words analyzed.

Speakers

4speakers4.6%attributed speech1,038writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageDavid Niel • 2 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageDavid Niel • 2 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageDavid Nield • 2 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 47 words • 100.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverageDavid Nield • 2 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverageDavid Nield • 2 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 38 words • 100.0% coverageZiff Davis • 28 words • 0.0% coverageWriter's voice • 8 words • 0.0% coveragePopular Science • 12 words • 0.0% coverage
Selected voice

Ziff Davis

0%flagged-word coverage
28 attributed words56% of attributed speech98% writer coverage
0%15.0%30.0%Attempt to Sell a Product -29.7 ptsWriter: 29.7%Ziff Davis: 0.0%0.0%Unattributed Quote-13.1 ptsWriter: 13.1%Ziff Davis: 0.0%0.0%Biased Writer Voice-10.8 ptsWriter: 10.8%Ziff Davis: 0.0%0.0%Indoctrination-3.7 ptsWriter: 3.7%Ziff Davis: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.