AI-generated content and Google: what the official guidance actually says

The question comes up on every AI-assisted media project: will Google penalize this content? The answer is written down, dated and public. It sits in two Google texts, one from February 2023, the other from March 2024, which say precise things that get distorted in both directions. Neither "AI is forbidden" nor "AI carries no risk". What remains is what they imply for a publisher who produces in volume.

February 2023: the tool is not the criterion

In a post titled Google Search's guidance about AI-generated content, Google states the principle: its systems reward quality content, however it was produced. Automation is not new and has never been banned as such; what breaks the rules is using it, AI included, "with the primary purpose of manipulating ranking". The post points to the E-E-A-T framework and to the question of whether content is helpful, original and reliable.

The same text gives advice few publishers follow: where content is produced with an AI, it can help to explain to readers why and how, and an author byline remains expected wherever a reader may legitimately wonder who is speaking. That is not a labeling obligation, it is a transparency recommendation, and it meets what we wrote about an expert's signature.

March 2024: production at scale becomes a spam rule

The March 2024 update added a category called scaled content abuse to Google's spam policies. It targets the production of many pages "primarily to manipulate ranking rather than to help users", and specifies that the method does not matter: generative AI, automated rewriting, aggregation of existing content or humans paid to produce fast. The text replaces the old rule on "automatically generated" content, precisely so that the tool stops being the criterion.

That category has a cousin, site reputation abuse, which targets third-party content published on a recognized domain to trade on its authority. It concerns a company media property less than a site renting out its domain, but it lights up the overall logic: Google looks for patterns, not for tools.

What that changes in practice

The criterion is therefore twofold: the purpose and the value. A media property answering real questions from its market, with verified information and a signature, produces value even when it uses an AI to write fast. A site chasing thousands of queries outside its expertise to capture traffic falls under the manipulation purpose, even when it employs people.

What Google penalizes: mediocrity, not the machine

Many publishers reduce the question to detection: will Google know this is AI? The question is badly framed. Google does not need to know how a text was produced to judge it useless. An article that restates generalities, hedges in every sentence, brings no figure, no source and no point of view, is weak content, and that is what gets penalized, not its origin. We reread articles of our own generated from a standard prompt and cataloged the markers that make them recognizable: a template applied mechanically, the same formula repeated several times, systematic caution, redundancy. Those markers are also what a reader sees as mediocre.

Content produced with an AI from a precise knowledge base, with a sourcing instruction, an imposed structure and a review by someone who knows the subject, carries far fewer of those markers, because the underlying work was done before generation. The method matters more than the tool, exactly as Google says.

And Bing

Microsoft holds a neighboring position in its webmaster guidelines: content has to be created for users, original and useful, and techniques meant to manipulate ranking are penalized, without the production tool being a criterion. Bing also notes that its generated answers draw on its classic index, and offers IndexNow, a protocol for signaling new or changed pages, useful to a media property that publishes often. The two engines say the same thing.

What makes volume production defensible

1. A scope. The media property covers subjects the publisher has standing on, not high-volume queries outside its field.
2. A knowledge base. Facts, figures, vocabulary and positions come from a base built out of the publisher's documentation and verified public sources, not from the model's memory.
3. A quotable structure. Each section answers a question, as we explain in "Answer first, qualify second", with its sources.
4. A named review. Someone reads, corrects and signs. That is both the quality condition and, since August 2026, the compliance route for texts of public interest.
5. A measurement. You track what each piece produces in Search Console and in AI answers, and pick up or remove whatever serves no purpose. A media property that never removes anything accumulates exactly the weak content the March 2024 rule targets.

What the guidance does not say

It sets no volume threshold, no acceptable AI ratio, no labeling obligation for ranking. The "AI-generated" label belongs to another text, the EU AI Act, and to another scope, which we cover in our AI Act timeline. Nothing in Google's guidance rewards or penalizes that label: it is a provenance and legal question, not a search one. Confusing the two leads to absurd decisions, like hiding the use of an AI out of fear of an engine that does not look at it, or displaying it everywhere in the belief it earns a signal.

Before publishing, the question is therefore not "will Google see that this is AI?" but "does this piece bring something a reader in the sector could not already find elsewhere?". If the answer is yes, the tool is irrelevant. If it is no, the tool is equally irrelevant, and the content does not belong.