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Does AI-written content get penalised in search?
The short answer: search engines object to content with nothing worth reading, not to content written with AI. How that plays out in practice is worth being more specific about.
The real standard Risk zones Naver vs Google
The short answer
The published position has been consistent for years — what is assessed is the usefulness of the result, not how it was produced. No mechanism has been published that demotes a page simply for having been written with AI.
And yet AI content does fail in practice. The cause is not that AI wrote it, but that AI makes a particular thing easy — stamping out many thin pages on the same subject — and people go ahead and do it. The problem is the state of the output, not the tool.
The risk is not AI. It is these four things
Using it safely — split the roles
| Task | Use AI? | What a person must do |
|---|---|---|
| Building the topic and question list | Suitable | Confirm real customers ask these |
| Outline and structure draft | Suitable | Merge overlapping topics, decide order |
| Drafting explanatory paragraphs | Conditional | Verify the source of every fact and figure |
| Statistics and quotations | Not suitable | Check the original and link to it |
| Experience, reviews, case studies | Not suitable | Use the thing, or interview someone who did |
| Titles and meta descriptions | Suitable | Final pass on length and phrasing |
Naver and Google are not the same
Both assess usefulness, but the practical experience differs. In Korean search, how natural and contextually coherent a document reads carries more weight, so a page that still shows translation-ese or clumsy particles loses on dwell time before anything else.
For Korean content it is therefore safer to treat fact-checking and language editing as two separate steps. A piece can be factually correct and still fail domestically because the sentences read as translated.
English content leans the other way: factual accuracy and structure matter relatively more. Run the same review checklist on both language versions and one of them will always be under-served.
Frequently asked questions
Do we have to disclose that AI wrote it?
No published search ranking rule requires it. Separately, Korea’s AI Framework Act carries a generative-AI disclosure obligation, so depending on the service a legal review may be needed. That is a regulatory question, not an SEO one.
We already have a lot of AI-written pages. Delete them?
Triage beats a bulk delete. Strengthen the pages that get traffic and hold up factually; consolidate or retire the ones with neither traffic nor substance. The criterion is performance and accuracy, not how it was written.
How much editing makes it "human-written"?
Thinking in terms of percentage rewritten leads nowhere. The test is whether the piece contains something only your organisation could have written — a real case, a number you verified yourself, a problem you hit. That is what makes it non-substitutable.
Our search traffic dropped. Was it the AI content?
Rule out the other causes first. Indexing state, a site structure change, a new competing page, and seasonality are all more common. Looking page by page at when the decline started narrows it down quickly.
Start with the checklist
Get the meta information in order
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