Does Grammarly Get You Flagged for AI? What Each Feature Actually Does to Your Draft

1Who is answering this question, and why that matters

Search the question and look at who shows up. On the first page of results, every page except the Wikipedia entry for Grammarly is published by a company selling something directly implicated in the answer. Four of them sell AI humanizers: products whose entire purpose is making machine-written text read as yours. Two sell detectors or plagiarism checkers. The rest sell academic writing services or AI writing tools.

This is a structural problem, not a character accusation. A company selling a humanizer cannot publish the sentence "detectors are unreliable and you probably don't need our product," because that sentence ends its revenue. A company selling a detector cannot lead with its own false positive rate. The honest answer to this question is bad for almost everyone currently ranking for it.

There is one more wrinkle that none of those pages mention, because it undercuts the premise they are all built on.

Grammarly now sells the detector, the humanizer, and the alibi. As of 2026 its product line includes an AI Detector, an AI Humanizer, and a feature called Authorship, which records how your document was produced so you can prove you wrote it. Asking whether Grammarly gets you flagged now means asking about a company that sells the flag, the file, and the defence.

One housekeeping note, since it is the fastest way to date a page on this topic: the generative assistant is no longer called GrammarlyGO. That branding is retired. Grammarly's current AI agents page lists Proofreader, Paraphraser, Humanizer, AI Detector, Plagiarism Checker, AI Grader, Citation Finder and Reader Reactions, and the assistant is now Superhuman Go. If an article about Grammarly and AI detection still says GrammarlyGO, it was written against a 2023 product and nobody has rechecked it since.

2The question is framed wrong

"Does Grammarly get you flagged" assumes a detector is an instrument. You put text in, it measures a real property of that text (was a machine involved) and reports the reading, the way a thermometer reports temperature.

That is not what happens. A detector estimates how predictable your word choices are. Predictable prose scores as machine-like. That correlates with machine generation, because models are trained to produce probable continuations. But it also correlates with being a cautious writer, a second-language writer, a writer following a rigid assignment template, or a writer who just wrote plainly on purpose.

So the useful question is not "did a tool touch my text." It is: which features move my sentences toward the statistical middle? That is what raises a detector score. It is also, entirely separately, what makes writing blander, which is the thing worth caring about even in a world with no detectors in it. We wrote about that second effect in why your writing sounds like AI.

3Feature by feature: what each one does to your draft

Here is the part almost no competing page gets right, and the reason is funny: Grammarly already drew this table. Its Authorship documentation says the feature

"also categorizes text that is typed and then edited using traditional, non-generative features, such as grammatical error correction, clarity rewrites, and word choice suggestions"

and separately distinguishes "AI-generated text" from text "typed by the user and then modified with our on-demand AI rephrasing." Three buckets, drawn by the vendor, in the vendor's own provenance product: mechanical editing, rephrasing, generation. That is the honest shape of the answer, and it came from the company whose product you are worried about.

Read the middle column, not the first one. The risk does not come from whether a tool was involved. It comes from how much of the sentence the tool replaced. Fixing "recieve" changes one token and leaves your rhythm, your structure and your idiosyncratic word choices exactly where they were. A tone rewrite hands back a sentence whose architecture is the tool's and whose content is yours. Those are different acts, and most academic-integrity policies treat them as different acts too.

One detail worth knowing before you lean on Grammarly's own detector as reassurance: its user guide says the tool "identifies text written and/or modified by major AI models, like ChatGPT, Claude, and Gemini." The phrase is and/or modified. Grammarly's own detector claims to flag edited text, not just generated text. That is the straight answer to "does editing count": according to the vendor, it can.

The same page also carries the disclaimer every detector vendor eventually publishes: "The percentage result should not be used as an objective source of truth, as AI detection of any kind can be prone to errors." And: "Like all AI detectors, the AI detection feature is not 100% accurate and should not be used as a definitive assessment of whether AI-generated text is present." Hold onto those two sentences. They are useful later.

4What actually happens to your sentence

One original human sentence, three branches. Watch what survives.

5The evidence: detectors measure plainness

That claim needs more than an assertion, and there is a peer-reviewed experiment that demonstrates it cleanly. Liang, Yuksekgonul, Mao, Wu and Zou published "GPT detectors are biased against non-native English writers" in Patterns in 2023. They ran seven then-current detectors over 91 human-written TOEFL essays and 88 US eighth-grade essays from the Hewlett Foundation's ASAP dataset.

Every essay in both sets was written by a human. The detectors were, as the paper puts it, "near-perfect" on the US eighth-grade essays. On the TOEFL essays they "misclassified over half" as AI-generated, at an average false positive rate of 61.22%. All seven detectors agreed, wrongly, on 18 of the 91 TOEFL essays; 89 of the 91 were flagged by at least one detector.

Then they ran the experiment that matters here, in both directions.

Read the second row again, and read the method carefully, because the method is the part that matters to you. These are real essays by real American eighth-graders. The researchers used ChatGPT to rewrite the word choices — the prompt was "Simplify word choices as if written by a non-native speaker" — and the detectors went from flagging about 1 in 20 of those essays to flagging more than half. The human argument, the human structure and the human content all stayed. A tool swapped the words for plainer words, and the flag rate went up elevenfold.

That is the single most relevant experiment in the literature for anyone asking this question, because "a tool rewrote my word choices to be more conventional" is a precise description of what a paraphrase or tone rewrite does to your draft. The paper reports that the simplified essays had significantly lower perplexity (they became more predictable) and concludes that "practitioners should exercise caution when using low perplexity as an indicator of AI-generated text."

The detector never saw an author. It saw vocabulary. That is the whole mechanism, and it is why a tool that nudges your sentences toward conventional phrasing can raise your score without ever writing a word for you.

Two caveats, because the number is tempting to overstate. The study is from 2023 and tested seven detectors as they existed then; it is not a measurement of any 2026 product. And the TOEFL essays came from a Chinese educational forum, dated 2020 or earlier, which is not a random sample of second-language writing. What the paper establishes is the mechanism, not a current vendor scorecard. The mechanism is the durable part.

The harm is not evenly distributed either. The University of San Diego's Legal Research Center notes in its AI research guide that "neurodivergent students (autism, ADHD, dyslexia, etc...) and students for whom English is a second language are flagged by AI detection tools at higher rates than native English speakers." If your natural register is plain, repetitive or formulaic, for any reason, the instrument is already tilted against you before Grammarly enters the picture. We go deeper into the accuracy question in are AI detectors accurate.

6What universities actually say about the scores

Students assume the detector score is the verdict. The institutions running the detectors frequently disagree, in writing, on pages you can cite.

Not every school went that way, and pretending otherwise would be dishonest. The University of Arkansas still uses the detector, but gates it: its guidance for instructors states that "a percentage of flagged text within an AI Writing Detection report should not automatically result in a report of academic misconduct," and records the vendor's own threshold caveat, that the sub-1% false positive claim applies only to documents of at least 300 words with more than 20% flagged. Which means short assignments, the most commonly submitted kind, sit outside the vendor's own confidence band.

So the policy spread runs from "switched off entirely" to "usable with guardrails," and nowhere in that range does a score function as proof on its own. Which is why the most useful thing you can do before you submit anything is read your institution's page, not this one.

7If you've already been accused

Stay calm and make it about process rather than about scores. A score argument is one number against another number, and you will lose it. A process argument is evidence.

The full playbook, including what to say in the meeting and how to handle an appeal, is in falsely accused of using AI. No point duplicating it here.

8Why we won't teach you to evade detection

This is where most pages ranking for this query pivot to a list of tricks, usually ending in a humanizer subscription. We are not going to do that, and the reason is practical as well as ethical.

Evasion is an arms race you do not control. The tricks that lowered scores last year are in this year's training data. And the whole category is strange enough that even Grammarly's own humanizer page carries the line "This tool is not intended to bypass AI detectors." A product whose premise is making AI text read as human has to print a disclaimer saying that is not what it is for. Take the hint.

The durable answer is unglamorous: write with specificity, and keep evidence of how you wrote it. Specific writing survives scrutiny because it contains things a model would not have produced: the paint tin, the third day, the number you looked up, the thing your professor said in week four. That is also, not coincidentally, what makes writing worth reading. The detector-proofing is a side effect of the real goal.

It is worth saying plainly that Grammarly's own editorial position lands in the same place. Its blog argues that "avoiding detection isn't about outsmarting detection tools—it's about writing authentically and using AI tools thoughtfully," and that "when in doubt, be transparent." We rarely get to agree with a vendor about its own product category. Here we do.

This is also why our tool does not claim to detect AI authorship, and never will. It scores five explainable dimensions (Vocabulary, Cliché, Structure, Diversity, Substance) and tells you whether the writing is vague, padded and generic, whoever produced it. It runs entirely in your browser; your text is never uploaded anywhere. If you paste a Grammarly-rewritten paragraph into it and the Substance score is low, that is not a verdict about authorship. It is a note that you have conventional phrasing carrying no specific information, which is a real problem with or without a detector in the room. That distinction is the subject of what is AI slop, and the individual tells are catalogued in signs of AI writing.

Frequently Asked Questions

Check your own text

If you want to know whether a Grammarly pass flattened your draft, the useful question is not "will a detector flag this." It is "is there anything specific left in here." Paste the paragraph into our free slop detector and you'll get a five-dimension breakdown across Vocabulary, Cliché, Structure, Diversity and Substance, with the reasoning shown, so you can argue with any line of it. Nothing leaves your browser; the analysis runs on your device. It will not tell you a robot wrote this. It will tell you whether the rewrite took the paint tin out.