Every era of cheap distribution gets a word for its waste. Email got "spam". The AI era got "slop" — a label that Simon Willison helped cement in 2024 with a comparison that stuck: slop is to AI what spam is to email. We named our whole product strategy against it, so this page is our working definition, with examples and the test we actually use.
The short version: AI slop is low-effort, high-volume AI-generated content published without verification, editing, or any contribution from its publisher. It is identified by four signals — no author, no sources, no experience, and the statistical voice of a model — and the fix is not avoiding AI, it is refusing to publish unverified, unedited output.
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 kill-list of viral stats that circulate widely and verify nowhere.
- 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. No named human accountable for the page. No sources behind its claims. No experience — nothing that required the author to have done anything. And the statistical voice: watermark words, uniform rhythm, symmetric structure — the tells are countable. 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 measuring the emptiness 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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