You cannot reliably tell who wrote a page. Human raters identify AI text correctly only 19% of the time — at chance — and the detectors that do better misread non-native English writers as machine-made at a 61% rate. But you can tell whether a page is slop, because slop is not about authorship. It is about what is missing: no named human accountable for the content, no sources behind its claims, no evidence the author did or knew anything. Those three absences are checkable in under a minute. Whether a model did the typing is not. "Slop" is the word Simon Willison helped cement in 2024 — slop is to AI what spam is to email — and we named our whole product strategy against it because the test is real and the problem is specific.
The short version: AI slop is AI-generated content published without verification, editing, or any contribution from the publisher. It is identified by four signals — no named author, no sources, no first-hand experience, and the statistical voice of unedited output — with the first three doing the work. The fix is not avoiding AI; it is refusing to publish what was not improved by a human.
What is defined as AI slop?
AI slop is AI-generated content published as-is: fluent enough to fill a page, hollow enough to waste the reader's time, and produced at a volume only automation makes possible. The defining feature is not that a model wrote it — most new web content now involves AI — but that no human added verification, judgment, or anything only they could know before hitting publish. Slop is a publishing decision, not a technology.
What is an example of AI slop?
- Search-bait articles with invented facts — confident statistics that trace to no study. Our own fact-check pipeline maintains a fact-check workflow that traces stats to their source, including the ones that circulate widely and verify nowhere. When we measured it, six in ten claims in AI-written posts could not be confirmed.
- The thousand-page programmatic blog — every query permutation covered, nothing new said on any of them; the pattern Google's scaled-content-abuse policy targets.
- AI images with garbled text — six-fingered hands and melted logos shipped because nobody looked.
- Copy-paste social floods — the same generated caption posted to five platforms verbatim.
- Fake-expertise reviews — "we tested" articles for products nobody touched.
How do I identify AI slop?
Four signals, and they compound — three about the publisher's decisions, one about the prose.
No named human accountable for the page. No byline, no author profile, or a generic "Team" credit with no verifiable person behind it.
No sources behind the claims. Numbers and quotes that point to nothing, or links that lead to another blog that also points to nothing.
No first-hand experience. Nothing on the page required the author to have done, tested, or witnessed anything. Generic advice that fits any topic on any day is the shape of it.
These three are the test. They identify a publishing failure, not a typing one — which is why they work where authorship detection does not.
The fourth signal is the statistical voice: watermark words, uniform rhythm, symmetric structure. The prose tells are countable, but they are weak on their own — human raters cannot reliably identify AI text, and a page can fail signals one through three while having perfectly varied prose. Signal four is confirming, not determining. One signal can be a false alarm; a page with all four is slop with near certainty.
Why publishing slop is a losing strategy
The economics are seductive and the returns are collapsing. Google demotes it not by detecting AI but by evaluating author credibility and substance directly. AI answer engines cite pages they can trust, and a page with unverifiable claims is a citation risk they learn to skip. Readers, meanwhile, have developed the fastest slop detector of all — they bounce in seconds and remember the domain. Slop does not just fail; it spends your site's reputation to fail.
How to use AI without making slop
Keep the speed, add the gates. Verify every checkable claim against a real source before publishing. Run a humanization pass for the mechanical tells, then add the one thing per section only you know. Sign a real name to it. This is the entire thesis Skryvo is built on — the anti-slop bet — a pipeline where fact-checking, detection scoring, and humanization run before anything ships, so AI speed stops costing you reader trust.
The web will keep filling with slop; that part is settled. The open question is whether your pages are distinguishable from it. Make them verifiable, make them yours, and the flood becomes your competitive advantage — because standing out has never been cheaper.
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