AI Slop

What is AI slop?

AI slop is low-value, interchangeable content made with generative AI that adds little original insight, evidence, experience, or utility. The problem is not AI assistance itself. The problem is content that sounds polished while saying almost nothing useful.

I used to think the term was a bit lazy. Too dismissive. Three years ago I would have said, “If the page is readable and technically accurate, who cares how it was drafted?” Then I spent too many late nights auditing sites with hundreds of smooth, harmless-looking pages that got impressions, earned no trust, and converted almost nobody. My mental model was wrong.

In SEO and generative engine optimization, AI slop is not “any content touched by AI.” Google has been pretty consistent on this point in Search Central guidance: automation alone is not the sin. What matters is whether the page is helpful, reliable, and created for people. Its spam policies also call out scaled content abuse when pages are mass-produced mainly to manipulate rankings. That distinction matters more than the label.

I’ve seen excellent AI-assisted pages. I’ve also seen 2,000-word pages that felt empty by line three. Same tool. Different workflow.

Why AI slop matters

Most teams first notice AI slop when rankings stall. That’s usually the least interesting symptom.

The bigger issue is that low quality AI content tends to fail in three places at once:

1. Search performance: it blends into the SERP because it offers no reason to rank above pages that already exist.
2. User trust: readers feel the vagueness fast—especially on pages that should help them decide, compare, diagnose, or take action.
3. LLM citation-worthiness: answer engines and retrieval systems tend to prefer sources with named authors, clear claims, original examples, and sourceable facts.

I worked on an audit for a Shopify store that had scaled category-support content with AI. Nothing was offensively bad. That was the trap. Each page had decent grammar, tidy headings, and the usual “benefits, tips, FAQs” structure. But when I opened ten pages side by side, they were interchangeable. Same rhythm. Same abstract claims. Same fake-feeling confidence. Search Console showed impressions across the cluster, but weak clicks and almost no assisted conversions. Once we rewrote a smaller set around real buyer questions—shipping concerns, material differences, use-case comparisons—the site started earning better engagement. Not because the prose became prettier. Because the pages finally had a reason to exist.

That’s the core test I come back to: does this page deserve to exist?

If the answer is “it targets a keyword variation,” you may already have a problem.

What AI slop looks like in practice

It usually isn’t one glaring flaw. It’s a pattern.

• Introductions that restate the query instead of answering it
• Headings that look comprehensive but stay shallow all the way down
• Claims with no named source, no date, and no attributable authority
• Examples that feel invented, sanitized, or too generic to teach anything
• Multiple pages targeting adjacent keywords with near-identical substance
• No screenshots, no workflow detail, no first-hand observations, no hard-won nuance
• Mismatched intent—like informational filler on a page where the user needs a decision framework
• Filler language such as “in today’s digital landscape” or “it is important to note”
• Lists stretched for word count
• FAQ sections that paraphrase the article instead of resolving objections

One more sign: the page is hard to quote. Hard to remember. Hard to cite.

(Quick caveat: not every boring page is AI slop. Some pages are just under-edited human drafts.)

And yes, a page can be grammatical, structured, even polished—and still be slop. I’ve read pages where every sentence was fine in isolation, yet the whole thing evaporated from memory the second I closed the tab.

AI slop vs thin content

These overlap, but I wouldn’t treat them as synonyms.

Thin content usually means the page lacks enough substance for its job. Maybe it’s a category page with two lines of copy. Maybe it’s a glossary entry with a definition and no practical help.

AI slop is broader. It can be thin, but it can also be long. Very long. I’ve audited pages over 1,500 words that contained less usable insight than a decent forum reply. That’s why thin content vs AI slop is the wrong framing if you focus only on length. The better question is originality per paragraph.

Short can be excellent. Long can be empty.

Why LLMs often ignore AI slop

If you care about AI visibility, generic pages are usually weak candidates for mentions or citations. Not because some universal “LLM citations” formula is public—it isn’t—but because retrieval systems tend to work better with content they can anchor to something concrete.

In practice, that often means:

• clear authorship and credentials
• named sources and attributable claims
• original examples, frameworks, or observations
• tight passages that answer a question directly
• consistent topical signals across the site
• language specific enough to quote without rewriting everything

I should be careful here—different systems behave differently, and anyone claiming a universal rule is overselling it. But anecdotally, across sites I review, pages with first-hand inputs and explicit sourcing get surfaced more often than paraphrased commodity content. That pattern keeps showing up.

(Side note: I used to put more weight on “good structure alone” here. After reviewing enough answer-engine mentions, I revised that. Structure helps; originality is what gives the structure something to carry.)

Common causes of AI slop

The model is rarely the main cause. The workflow is.

• Publishing dozens of pages from one prompt template
• No subject-matter review before publish
• No editorial standard for evidence, examples, or sourcing
• Rephrasing competitor summaries instead of adding new information
• Over-targeting near-duplicate long-tail terms
• No audit process after launch
• Confusing fluent writing with expertise

I’ve watched teams save hours in drafting, then lose months cleaning up the index. Familiar story.

Real-world example

One of the clearest cases I remember came from a B2B software site that had published a large glossary and advice hub. Traffic looked promising at first glance because the site had impressions spread across hundreds of URLs. But when I pulled Google Search Console exports and crawled the section with Screaming Frog SEO Spider, the pattern got ugly fast: near-duplicate H1s, repetitive intros, tiny differentiation between related terms, and pages that ranked briefly then decayed.

I opened page after page and had that weird feeling where I knew what the next sentence would sound like before I read it. That’s usually a bad sign. We kept maybe a quarter of the URLs, merged a large chunk, noindexed some operational pages, and rewrote the strategic topics around actual user tasks. We added named references, screenshots, opinionated comparisons, and examples from support questions the company already had. The total page count went down. The usefulness went up. Better trade.

Not glamorous. Effective.

How to tell if a page is AI slop

I like combining editorial review with performance data. If you only use gut feel, you miss patterns. If you only use data, you miss why the page is failing.

Editorial checks

• Is there anything here that came from a practitioner, expert, analyst, support team, customer, or actual workflow?
• Are factual claims tied to named sources?
• Does the page answer the query quickly?
• Would someone bookmark, cite, or send this to a colleague?
• Does it include examples, screenshots, edge cases, comparisons, or an original framework?

SEO and analytics checks

In Google Search Console, I look for:

• high impressions with weak CTR
• declining clicks across similar page clusters
• queries that signal intent mismatch
• lots of indexed URLs with little business value

In Screaming Frog, I look for:

• near-duplicate titles and H1s
• template-heavy pages with minimal unique blocks
• large clusters of low-click content
• missing signals of unique value

One warning here: not every underperforming page is AI slop. Sometimes the issue is internal linking. Sometimes snippets are weak. Sometimes SERP intent shifted and your page didn’t. But when weak performance lines up with generic substance, the diagnosis gets easier.

Decision tree: keep, rewrite, merge, prune, or noindex?

Use this simple decision tree:

1. Does the topic matter strategically?
   If no, prune or redirect. If yes, continue.
2. Does the page already have signals worth preserving? Think links, rankings, useful history, or conversions.
   If yes, prefer rewrite or merge over deletion.
3. Can you add original value? Examples, product insight, data, screenshots, expert opinion, better task alignment.
   If no, prune or noindex. If yes, rewrite.
4. Are multiple pages competing on the same intent?
   If yes, merge them into one stronger asset.
5. Does the page need to exist for users but not for search?
   If yes, noindex it.

That’s it. Simple on paper. Messier in real audits…

How to fix AI slop

There are usually four moves: rewrite, merge, prune, or noindex.

1. Rewrite pages with strategic value

Keep the URL if the topic matters, then make it specific. Add first-hand expertise. Add product or industry context. Add named sources. Add visual proof, comparisons, and decision support. If the page can’t say anything only you can say, it probably won’t become strong just because you edit the wording harder.

2. Merge overlapping pages

Five mediocre pages targeting tiny keyword variations are usually worse than one strong page built around real intent. I used to resist merging because it felt like “losing coverage.” In practice, I’ve seen the opposite more often: less duplication, clearer relevance, better internal linking, stronger page.

3. Prune pages with no path to usefulness

If a page has little traffic, no links, no conversions, and no realistic route to unique value, content pruning is often the sane choice. Not every URL deserves rehabilitation.

4. Noindex pages that must exist but shouldn’t compete

Some pages are operational, support-ish, or thin by necessity. Keep them for users if needed. Just don’t force them into the index.

Common mistakes

• Assuming AI use itself is the reason a page underperforms
• Trying to detect AI slop by tone instead of usefulness
• Keeping too many near-duplicate pages alive “just in case”
• Editing for grammar while leaving generic substance untouched
• Adding fake examples or invented authority to seem original
• Ignoring search intent because the page is “comprehensive”
• Treating FAQs as filler instead of objection handling

The fake-example problem is worth calling out. I’d rather publish a shorter page with one honest limitation than a longer page padded with imaginary scenarios.

A better workflow for AI-assisted content

For AI generated content SEO, the healthiest workflow I know is human-led from the start:

1. Start with user intent and the actual task behind the query.
2. Review the SERP to find what’s missing, not just what’s ranking.
3. Gather original inputs before drafting: expert notes, support tickets, customer language, internal data, screenshots, test results.
4. Use AI to structure, summarize, or polish—not to invent authority.
5. Fact-check factual claims.
6. Cite named sources such as Google Search Central, product docs, schema.org, W3C, or reputable published research.
7. Edit for specificity.
8. Publish only if the result is meaningfully better than the current alternatives.

That last step gets skipped a lot. Publish only if better. Not merely presentable.

Self-check: is this page sliding into AI slop?

• Can I point to at least one original contribution on the page?
• Would a reader learn something specific, not just broad advice?
• Are my claims attributable to named sources or first-hand experience?
• Does the page solve the user’s likely next question?
• Would I keep this page if search traffic didn’t exist?
• Could a competitor swap in their logo and keep 90% of the copy unchanged?

If that last answer is yes, you probably have work to do.

FAQ

Is all AI-written content AI slop?

No. AI-assisted content can be excellent if a real expert or editor adds original thinking, evidence, examples, and careful review.

Does Google penalize AI slop because it is AI-made?

Not exactly. Google’s public guidance focuses on helpfulness and spammy scaled content practices, not on banning AI as a method.

Can long articles still be AI slop?

Yes. Length does not rescue generic content. Some of the weakest pages I’ve audited were long, polished, and empty.

How is AI slop different from duplicate content?

Duplicate content is about substantial similarity across pages. AI slop is a quality problem. A page can be original in wording and still be useless.

Can AI slop rank?

Sometimes, especially briefly or on low-competition queries. But it tends to be fragile because it lacks differentiation and trust signals.

What is the best fix for AI slop SEO issues?

Usually one of four actions: rewrite strategic pages, merge overlapping ones, prune weak pages, or noindex pages that should exist but not rank.

Does AI slop hurt LLM citations?

Anecdotally, yes. Generic pages are less likely to be cited or referenced because they lack clear sourcing, memorable insight, and quote-worthy specificity.

What’s the simplest rule of thumb?

If AI helps you express real expertise faster, good. If AI is standing in for expertise you never had, that’s where the trouble starts.

A simple rule of thumb

If a page could be replaced by ten others and nobody would notice, it’s probably AI slop.

If AI helps you produce something more useful, faster, I’m all for it. If it helps you publish content that shouldn’t exist in the first place—well, that part usually catches up with you.