You can usually tell within the first two lines. Not because anything is wrong, exactly — the grammar's clean, the facts seem to line up, nothing's misspelled. It's the opposite problem. It reads like nobody actually wrote it. It reads like it was assembled.
That feeling has a name now, and it's official. Merriam-Webster picked "slop" as its 2025 Word of the Year, defining it plainly as low-quality digital content churned out in bulk by AI. The dictionary's own announcement pointed to everything from junky AI-written books to "workslop" reports clogging up people's inboxes at work. This isn't a fringe complaint anymore. It's a word regular people were looking up often enough to make it the headline of the year.
Here's the useful part: once you know the shape of it, AI slop stops being invisible. Below are the seven signs that hold up whether you're reading a blog post, a product description, or a LinkedIn "thought leadership" essay.
Sign #1: The Writing Sounds Like a Textbook, Not a Person
Real writing has bumps in it. People write in fragments sometimes. They repeat themselves for emphasis. They use contractions and half-finished thoughts because that's how actual speech works.
AI-generated text tends to sand all of that down until nothing's left but smooth, correct, forgettable sentences. It's grammatically flawless and completely flat.
Watch for:
- ✅ Zero contractions, zero fragments, zero personality on the page
- ✅ Inflated phrasing where a plain word would do — "leverage" instead of "use," "multifaceted" instead of "complicated"
- ✅ The same three or four pet words showing up again and again across a single piece
- ✅ A tone so even and agreeable it never actually takes a side on anything
One professor who reviews student writing for a living put it simply: when a student who normally writes in loose, casual fragments suddenly turns in something stuffed with words like "delve" and "tapestry," that shift itself is the tell — not any single word on its own.
Sign #2: The Sentences Are Long, Even, and Strangely Under-Punctuated
For a while, the internet's go-to shortcut was "count the em dashes." That shortcut doesn't hold up anymore — plenty of careful human writers use dashes constantly, and not every AI model overuses them either.
The more reliable pattern runs the other way. Instead of reaching for commas, semicolons, or parentheses to break up an idea, AI-generated text tends to just keep going — one long sentence stitched together with "and," rather than properly punctuated into two or three shorter ones.
The result reads flat on the page:
- ✅ Long, run-on sentences strung together with "and" instead of a period
- ✅ Very little variation in sentence length from one line to the next
- ✅ Paragraphs that all look roughly the same size and shape
- ✅ A near-total absence of semicolons, dashes, or parenthetical asides
Skim a paragraph and picture its shape. Real human writing looks jagged — a short sentence, then a long one, then a fragment. AI writing looks like a brick wall. Every row the same height.
Sign #3: Everything Comes in Threes
Once you notice this one, you'll see it everywhere. AI-generated writing has a serious habit of grouping things in sets of exactly three — three adjectives, three examples, three items in a list — almost like a reflex.
Common patterns:
- ✅ "It's fast, it's reliable, and it's affordable" — the rule-of-three sentence, over and over
- ✅ The "it's not X, it's Y" construction, reused across totally unrelated topics
- ✅ Lists that pad themselves out to exactly three bullet points, even when two would've said it fine
- ✅ Explanations that sound tidy and confident but don't actually add new information
None of these three signs proves anything by itself — a real person can write a clean paragraph, and a rule-of-three sentence isn't a crime. What matters is whether they're stacking. One flat paragraph is nothing. A whole article that never varies its rhythm, never breaks a rule, and never sounds like it came from an actual person with an actual opinion — that's slop.
Sign #4: There's No Actual Experience Behind It
This is the sign that separates harmless AI-assisted writing from real slop.
An AI model has never had a bad first day at a new job. It's never burned a pan of cookies figuring out a recipe. It doesn't have a specific, slightly embarrassing story about the one time a strategy backfired. It has patterns pulled from millions of other people's writing, but nothing that happened to it, personally, ever.
So when a piece of writing is missing every trace of lived experience, that's not a style choice. It's a structural gap.
What's usually missing:
- ✅ A specific personal story — not "many people find," but "here's what happened when I tried it"
- ✅ Original numbers — a stat the writer actually measured, tested, or surveyed themselves
- ✅ A real quote from a real named person, not a paraphrased "experts say"
- ✅ An actual opinion the writer is willing to defend, rather than a balanced non-answer
Here's a quick gut-check: does this piece sound like it was written by someone who has genuinely done the thing they're describing? Or does it sound like a very well-informed summary of what doing the thing might be like? The second one is slop, no matter how accurate the surrounding facts are.
Sign #5: The Facts Are Confident, Specific, and Wrong
This is the sign with the highest stakes, because it's the one that can actually hurt you.
AI models don't know when they're guessing. They generate the most statistically likely next word, and when there's no real answer available, they generate a plausible-sounding one instead — a fake study, a fake quote, a fake case citation — formatted exactly like a real one. Researchers call this hallucination, and it's not rare. It's routine, and it's getting more consequential, not less.
The clearest recent example happened in a courtroom, not a comment section. In February 2026, a Nebraska attorney stood before the state Supreme Court to argue an appeal built on a legal brief with 63 citations. Justices stopped him less than a minute in — 57 of those citations turned out to be defective, and 20 were pure fabrications: cases that simply do not exist in any jurisdiction. He was suspended. It was the first suspension of its kind tied directly to AI-generated legal citations, but by mid-2026 it was already one of well over a thousand similar sanctions tracked across the legal profession.
The same pattern shows up outside courtrooms:
- ✅ Studies, papers, or "reports" cited by name that don't actually exist when you search for them
- ✅ Real experts quoted saying things they never said
- ✅ Statistics stated with suspicious precision but no traceable source
- ✅ Scientific-sounding claims that fall apart the moment you check a second source
Government policy documents have made the same mistake — one high-profile 2025 federal health report was found to cite completely fictitious academic journals, some carrying a formatting fingerprint traced back to ChatGPT output that never got cleaned up before publishing.
None of this means every unfamiliar fact is fake. It means the mildly counterintuitive stats and mildly surprising quotes are exactly the ones worth a thirty-second search before you repeat them anywhere.
The Real Test
Take Signs #4 and #5 together and you get the actual filter: does this piece contain anything the writer could only know from having done the work themselves, and does everything it states as fact actually hold up when you check it?
If the answer to both is no, you're not reading journalism, and you're not reading expertise. You're reading a very fluent guess.
Sign #6: The Pictures and Audio Have Their Own Tells
AI slop was never just a text problem. The same content mill that produces a hollow blog post is usually also producing the "stock photo" sitting next to it, or the voiceover reading it out loud on a Shorts video.
Visual tells worth training your eye on:
- ✅ Extra or fused fingers, and joints that bend in ways real anatomy doesn't
- ✅ Text baked into the image — a sign, a label, a book spine — that dissolves into gibberish up close
- ✅ Skin and surfaces that look over-smoothed, almost plastic, with no real texture
- ✅ Shadows and reflections that don't agree with each other in the same frame
- ✅ Complex structured objects — bicycle spokes, chain-link fences, keyboards — that warp or don't quite resolve
Audio has its own version of the same problem. AI-generated voiceovers tend to run words together at an unnaturally even, slightly rushed pace, with pitch that stays flatter than a real person's would across a full sentence. Combine that with the visual tells above and a pattern emerges fast: a "creator" who never appears on camera, posts an enormous volume of near-identical videos, and pairs them all with the same synthetic-sounding narration.
That pattern isn't rare anymore. An analysis of YouTube Shorts published in late 2025 found that roughly one in five sampled videos contained AI-generated content, and a separate 2025 study identified 278 channels built entirely around AI-generated material, together pulling in tens of billions of views a year.
Sign #7: It Wraps Itself Up Too Neatly
The last tell isn't about facts or visuals. It's about the shape of the piece itself.
AI-generated writing has a strong pull toward tidy structure — open with a broad, sweeping statement, walk through a few evenly-sized points, and land on a summary that restates everything you just read. It's the five-paragraph essay format, generated by reflex.
Watch for:
- ✅ An opener like "In today's fast-changing world..." that could be pasted onto literally any topic
- ✅ A closing "In conclusion" paragraph that just repeats the piece's own points back to you
- ✅ Sentences that sound meaningful on a first read but don't actually say anything new on a second one
- ✅ Content that only ever references other generic content — no new information entering the loop anywhere
Real writing tends to end messier than that. A person finishes an article with a leftover question, a specific caveat, or an opinion that doesn't fully resolve — because that's how actual thinking works. It rarely ties a perfect bow around itself.
Putting the Whole Picture Together
None of these seven signs, alone, proves a piece of content was AI-generated — and treating any single one as a smoking gun is a mistake. A real writer can overuse "delve." A real photo can have a weird shadow. What actually separates slop from something worth your time is whether these signs are stacking, three or four deep, in the same piece.
The next part covers what to actually do about it — for readers scrolling past this stuff daily, and for anyone publishing content who wants to make sure theirs never gets mistaken for slop.
How to Actually Protect Yourself From AI Slop?
Spotting the seven signs is half the job. Here's what to actually do with that once you've noticed them.
If you're reading:
- ✅ Verify anything specific — a stat, a quote, a case, a study — against a second, independent source before you repeat it
- ✅ Check for a real byline and credentials, not just a publish date
- ✅ Weigh whether the piece shows any evidence of first-hand experience with the topic
- ✅ Use an AI-detection tool as a second opinion if you want one, but don't treat its verdict as final — these tools still produce false positives and false negatives regularly
If you're publishing:
- ✅ Edit and fact-check every AI-assisted draft before it goes anywhere near "publish"
- ✅ Add something the model genuinely couldn't invent — original data, a real anecdote, a specific opinion
- ✅ Build toward E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), not around it
- ✅ Assume every specific claim needs a source you can point to, because eventually someone will ask for one
What Google Actually Penalizes (It's Not What Most People Think)?
Here's the part that surprises most people: Google has never banned AI-assisted content. Its own Search Central guidance on AI-generated content states plainly that using automation — including AI — only violates its spam policies when the primary goal is manipulating rankings, not simply because a machine helped write it. Automation has quietly powered plenty of legitimately useful content for years, from sports scores to weather updates.
What actually gets penalized:
- ✅ Publishing large volumes of thin, near-identical pages purely to capture search traffic
- ✅ Content that adds nothing beyond what's already sitting in the search results
- ✅ Claims that contradict well-established facts or consensus
- ✅ Content with no real human editorial judgment behind it anywhere
In other words: the tool was never the problem. The absence of a person checking the work is.
Final Thoughts
AI slop earned its title as Merriam-Webster's 2025 Word of the Year for a simple reason — enough people were running into it, often enough, that they needed a word for the feeling. It's not going away, and honestly, it's going to keep getting harder to catch at a glance.
But the seven signs above hold up: the textbook-flat voice, the punctuation that never varies, the rule-of-threes reflex, the missing personal experience, the confidently wrong facts, the visual and audio artifacts, and the too-neat ending. None of them convict on their own. All seven stacked together in one piece is your answer.
The goal was never to avoid AI. It's to avoid slop — and now you know exactly what that looks like up close.
Frequently Asked Questions (FAQ)
Does using AI to write automatically mean it's slop?
No. Google's own guidance treats AI-assisted content the same as any other content — the deciding factor is whether a person fact-checked it, added real value, and shaped it for actual readers, not which tool typed the first draft.
Are AI detection tools accurate enough to rely on?
Not fully. They're a useful second opinion, but they regularly produce false positives on careful human writing and false negatives on lightly-edited AI drafts. Treat a detector score as one data point, not a verdict.
Why do fabricated AI citations keep showing up even in serious documents?
Because they're formatted exactly like real citations — plausible titles, real-sounding authors, correct-looking formatting — which makes them easy to slip past a quick skim. Tracked cases involving fabricated legal citations have climbed into the thousands as AI-assisted drafting has become routine, which is exactly why every specific claim is worth a quick independent check before it gets repeated.