AI-written content is not a problem for Google on its own. Google's own documentation locates the problem not in the tool but in mass-produced pages that add no value and in unchecked facts. The practical rule: use AI for the draft, and have a person check accuracy and metadata before publishing. This guide follows Google's documentation on the topic.
What does Google say about AI-written content?
In its Search Central guidance on generative AI content, Google stresses three things: human review before publishing, accuracy, and scaled content abuse. Using AI is not banned in itself; what is banned is producing many pages without adding value for users.
The page shows no update date. Search Engine Roundtable's November 2026 monthly report says Google updated its documentation to stress that accuracy of AI content must be checked by people; treat that as second-hand. The content of the guidance itself can be read on Google's page.
Why is human review essential?
According to the guidance, generative models do not retrieve facts; they predict likely word sequences from training data. The output can therefore contain errors, often called hallucinations. Google advises checking all AI-generated content manually before it is published.
The review is not limited to the text. The guidance lists the title tag, the meta description, structured data and image alt text. If you use structured data, it must follow the relevant guidelines and the markup must be validated. Publishing a "Product" or "FAQ" schema written by an AI tool without checking it spreads wrong information in a machine-readable form.
What is scaled content abuse?
According to the guidance, producing many pages with AI tools without adding value for users can violate the scaled content abuse spam policy. The test is not the production method; it is whether the page gives the user something.
For a small business this translates as follows: generating "Istanbul web design, Ankara web design…" pages for 200 cities from one template is risky, while a few pages with real client details, photos, a pricing frame and local context are safer. We covered what kind of content works for being mentioned in AI search separately.
Should you say that you used AI?
The guidance says that giving information about how content was created can give readers context, and it suggests explaining how automation was used in a way that suits the audience. It does not prescribe a mandatory label. For a news or health site a disclosure matters more; on a simple menu or service page a transparent note can be enough.
For e-commerce the rule is firmer: AI-generated images uploaded to Google Merchant Center must carry the IPTC DigitalSourceType value TrainedAlgorithmicMedia. If product data was generated with AI, that should be stated separately.
Which content deserves less trust in an AI draft?
Where a mistake is costly, even drafting needs extra care: health, law, tax and investment. On a dental clinic or law firm site, having a model write a regulation article from memory means publishing a wrong fact in a trustworthy tone. In these areas the basis must be the official text; AI can at most help simplify it.
The same goes for prices, dates and figures. A model can write a fluent sentence like "last year it was this much"; a sentence without a source should not go in. That is why we put the source address next to every sentence that has a number.
