AI slop
Generated content published without editing, judgement or original input, recognizable by its fluency and its total absence of anything specific.
In depth
What it really means
AI slop is generated content published without editing, verification or original input. It is fluent, correctly structured, and says nothing. The giveaway is not that a model wrote it. The giveaway is that nobody checked whether it was worth writing.
The distinction matters commercially, because the reaction against slop has made a lot of teams afraid of a tool that is genuinely useful. Generated drafts are fine. Generated drafts published unread are the problem, and those are two different decisions made by two different kinds of team.
How to recognize it
Every paragraph is roughly the same length.
Claims with no numbers, or numbers with no sources.
Examples that are categories rather than named things: “a leading SaaS company” instead of a company.
Balanced treatment of everything, and a position on nothing.
Openers that clear the throat: “In today’s fast-paced world,” “It’s important to note that.”
Restating the introduction as the conclusion in different words.
Could a competitor publish this page verbatim with their logo on it and have it make just as much sense?
If yes, it is slop, and the author’s species is irrelevant. Plenty of human-written content fails this test too, which is the more uncomfortable half of the point.
What Google actually says
Google’s position is that how content is produced does not determine whether it ranks. The spam policies target scaled content abuse: generating pages primarily to manipulate rankings rather than to help people. Slop fails on value, not on authorship.
Why it is a problem worth naming
It floods categories, which makes genuinely useful content harder to find and to rank.
It trains readers to skim and distrust, so your good pages inherit the suspicion.
It feeds models that then produce more of it, which degrades the answers everyone gets.
It looks productive on a dashboard, which is why it keeps getting funded.
The mistake people make
Banning AI tools instead of fixing the standard. Teams announce a no-AI policy and keep publishing three shallow posts a week written by an overloaded junior, which produces the same output for more money. The fix is a bar every piece has to clear: what does this say that nobody else has said. Apply it to everything, and the authorship question stops mattering.
Best practices
- Set the bar at original input, not at authorship method.
- Require at least one thing per piece that only you could have provided: data, a customer example, a named opinion.
- Fact-check every generated statistic. Models produce plausible numbers that are wrong.
- Cut generated drafts hard. The first and last paragraphs are usually removable in full.
- Put a named human author on the page and mean it.
- Measure the team on outcomes rather than pieces published.
FAQs
What is AI slop?
Generated content published without editing, verification or original input. Fluent, structured, and empty.
Does Google penalize AI content?
Not for being AI-generated. It suppresses low-value content regardless of how it was produced.
How do I tell if content is slop?
Ask whether a competitor could publish it verbatim under their own brand. If yes, it adds nothing.
Should I stop using AI for content?
No. Use it for drafts, structure and research, then add the material only you have and cut hard.
Can human writing be slop?
Frequently. The test is value added, not who typed it.
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