Is AI Content Bad for SEO? The Policy Says Nothing About Who Wrote It

No. Not because AI content is harmless, but because the question is aimed at the wrong thing. Google’s spam policies contain no rule about who or what wrote a page. AI-generated content appears in them exactly once, inside the definition of scaled content abuse, as an example of a method: using generative AI tools or other similar tools to generate many pages without adding value for users.

Read that carefully, because every word in it is load-bearing except the one everyone fixates on. Many pages. Without adding value. The tool is incidental. The policy would read identically if you swapped in a content farm of underpaid writers, and historically it did.

What the policy actually says

Scaled content abuse is defined as when many pages are generated for the primary purpose of manipulating search rankings and not helping users. Google’s examples include using generative AI tools to generate many pages without adding value, and creating many pages where the content makes little or no sense.

The two tests are therefore scale and purpose. A single AI-assisted page that genuinely helps someone is outside the policy. Four thousand AI-generated pages built to occupy keyword variants are inside it, and would be inside it whoever typed them.

Where the line actually falls

This is the table I use with clients who want to use these tools and want to know what they can safely automate. It is drawn from the policy’s own logic rather than from anyone’s comfort level.

Use	Inside or outside the policy	Why
Drafting an outline from your own research notes	Outside	The substance is yours. The tool arranged it.
Rewriting your rough notes into clean prose	Outside	Same. Value originates with you.
Translation drafts for human editing	Outside	Fine when edited. Unedited bulk translation is named as scraping.
Meta descriptions and alt text at scale	Outside	These are not pages. No page is being generated to rank.
Structural and consistency editing	Outside	Improves an existing page.
One page per keyword variant	Inside	Textbook scaled content abuse, whatever produced it.
Bulk summaries of other people’s articles	Inside	Restating others without adding value.
Spinning a competitor’s page	Inside	Named explicitly as scraping, including slight modification and synonymising.
Merchant copy plus affiliate links, generated at scale	Inside	Thin affiliation: descriptions copied from the merchant with no original content or added value.
A page per predicted AI sub-query	Inside	Google names this specifically as violating the spam policies and ineffective long term.

Notice the pattern. Everything outside the policy involves a human bringing something and the tool shaping it. Everything inside involves the tool supplying the substance. That is the actual line, and it has nothing to do with detection.

Detection is not your risk

The industry spent two years worrying about whether Google can tell. It is the wrong worry, and it produces the daft behaviour of paying to run finished work through a humaniser.

Here is the real mechanism. A general-purpose model generates what it learned from the existing corpus. If your page could have been produced that way, then by construction it contains nothing the corpus did not already have, which is another way of saying it adds nothing to the results page. It does not need to be detected to fail. It fails on the merits, competing for a position it has no argument for holding.

Google’s own guidance points at the same property from the other direction. Its advice for generative AI features is to create valuable, non-commodity content and bring a unique point of view, and it says this influences presence in AI search more than anything else. Non-commodity is the operative word, and it is a property of the content rather than of the author.

The test before you publish anything

What is on this page that a model could not have produced without me? Data, testing, outcomes, prices, photographs of the real thing, a position someone could disagree with. If the honest answer is nothing, the page has no defensible position regardless of how it was written.
Would I publish this if it cost me an hour of my own writing? The question exposes pages that exist only because they were cheap.
How many of these am I publishing, and why that many? Scale is half the policy. If the number is driven by keyword count rather than by things you have to say, you have your answer.
Has every factual claim been verified against a primary source? This is the one that actually ends sites. A model will produce a confident citation that does not exist, and one fabricated reference on a page people act on destroys its trustworthiness permanently.

Item four is the part I would put in bold on every content team’s wall. The reputational failure mode of these tools is not clumsy prose, which is fixable. It is fluent, plausible, specific and wrong.

If you have already published a few thousand of them

A fair number of the sites I am called about are in exactly this position, usually after an agency shipped a large programme in a quarter. The remedy is not different from any other bulk quality problem, and it is not a rewrite.

Measure contribution per URL first, then sort every page into improve, consolidate, remove, or noindex, and act on the buckets rather than on the whole. Serve 410 for what is genuinely gone rather than redirecting it into a healthy page, which spreads the problem instead of containing it. The full triage, with the criteria for each bucket, is in thin content, and the reason word count is not the sorting variable is there too.

If a manual action has already landed, the removal procedure and what a reconsideration request has to prove is in Google penalty removal. If nothing is in the Manual Actions report and the traffic simply went, that is an algorithmic reassessment and the sequence is in my pillar on Google penalty recovery. And if the programme was built to chase AI citations specifically, the reason that backfires is set out in how to rank in AI Overviews.

The short version

Use the tools. Bring the substance yourself. Verify every fact against a primary source. Publish the number of pages you have things to say on, rather than the number your keyword tool returned. Nothing in Google’s policies stands in the way of any of that, and everything in them stands in the way of the alternative.

Royking Niba is an SEO and GEO consultant specialising in penalty and spam-update recovery, with more than 8 million organic visits recovered for clients. Every policy definition quoted here was checked against Google’s published spam policies and generative AI guidance on 22 September 2026.