Google Updates Its AI Content Guidelines: What to Check Before Publishing

For editorial teams and website owners, publishing AI-generated text without human review is becoming a riskier choice. As Habr reported on October 6, 2026, Google updated its document on the use of AI content in Search: fact-checking and editing before publication are now described as requirements rather than recommendations. The document was previously updated in October 2025.

Why Google Insists on Human Review

Text can sound confident even when it contains an error. The article explains this in terms of how the model works: it predicts the likely continuation of a piece of text rather than establishing whether every claim is true. So a polished draft should not be considered ready to publish just because it has no obvious language errors.

Fact-checking and editing serve different purposes. First, you need to make sure the information is correct; then you need to shape the piece into something suitable for publication and useful to readers. Skip those steps for the sake of speed, and errors can end up on your website wrapped in plausible language.

The document update is being discussed against the backdrop of the second phase of Google’s September spam update, which began on September 30, 2026. The article says analysts associate it with low-quality AI content. That does not mean the use of AI itself has been labelled spam: the article is primarily concerned with the quality and usefulness of published text. The source gives no specific timeframe for when reviewing and reworking content might affect an individual website’s rankings.

Why a Stream of Similar Posts Does Not Help Search Performance

One subject covered by the guidelines is scalable content that is easy to produce in large volumes but adds little new information. The issue is not limited to articles: a piece of content may target an informational or commercial query, but in either case, what matters is whether visitors get something useful from it.

The Habr author contrasts substantive value with the old, mechanical notion of originality. You can rewrite someone else’s text until hardly any words match, yet give readers no new information. That is why simply increasing the number of pages does not solve the quality problem. A related article on the frequency of changes in Search explains why Google has been releasing spam updates more frequently.

The article describes a project where a contractor had posted large amounts of generated text for years. The author links a prolonged decline in rankings to the low quality of those posts and says rankings responded after the project switched to content based on real cases and specialists’ experience. This is an observation from one project, not a promise that every website will see the same result. Reworking the several thousand pages that had accumulated also took a great deal of work, he says.

The origin of a text should not be confused with its quality, either. The author recalls public AI detectors assigning a high proportion of “AI-generated text” to posts he had written himself, while assessing generated passages differently. That experience shows the limitations of such checks, but it does not reveal how Google evaluates an individual page. Editorial teams are better off examining the content itself than making decisions based on a detector’s percentage score.

What Website Owners and Editorial Teams Can Do

When planning content, it helps to start by identifying the question a page will answer and which claims will need checking. Then assign someone to verify the information and someone to prepare the text for publication. This process is especially important when drafts are produced quickly and in large batches: otherwise, review can easily become an optional step at the end.

To gather source material, you can collect customer questions, records of completed projects and comments from specialists. These make it easier to see what the team actually knows about the subject and which details can be checked before publication. That is more concrete than asking for “another article” on a topic that has already been covered countless times.

If a website has accumulated weak content, reviewing it is best treated as a separate task, not a side effect of publishing new pages. In the article’s example, the problem built up over years, so one new post cannot be expected to fix the entire website. Priority can go to pages for which source material and someone responsible for checking it are already available. This is a practical way to organise editorial work, not a ranking rule described by the source.

My View: Build Editing into the Plan

I would not leave checking until the last few minutes before publication. I feel more confident when it is clear at the assignment stage who will verify the information, who will edit the draft and which questions are still open. That way, the text does not get stuck in back-and-forth between specialists.

I favour an approach that puts the team’s experience ahead of a page-count target. If the scope and source material have been agreed on, the work can be planned in advance. If it turns out that a topic needs research, I would set aside a separate stage for it rather than try to squeeze the search for answers into an already approved editing deadline.

Sources

Where the news comes from. The text is a retelling in the author’s own words; the facts come from the source, the opinion is the author’s.

1. Google обновил рекомендации по использованию ИИ-контента для площадок habr.com

About the author

Galina Eneva

web development project manager

I coordinate small websites and make sure copy, mockups, and reviews don’t get lost in the email thread. If a client is unsure, I help break the launch into clear stages.

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