Google’s own pages don’t ban content made with AI. The risk they name is a spam policy called scaled content abuse: many pages made mainly to rank, with little value to readers, however they were made.
So before you publish anything AI helped with, check every fact and every title, and add something only you can add.
Below is what Google says, page by page and with each page’s date, followed by a checklist built on Google’s guidance.
Whether Google penalizes AI content, in Google’s words
Google covers this on four pages, each quoted here with its date. The first is Google’s guidance on using generative AI content, last updated October 1, 2026.
It says “Generative AI can be particularly useful when researching a topic, and to add structure to original content.”
The same page names the risk. Using generative AI tools “to generate many pages without adding value for users may violate Google’s spam policy on scaled content abuse”.
The page also mentions Google’s quality rater guidelines, with a reminder: “These guidelines are not a guide to ranking first in Google”.
The scaled content abuse policy sits in Google’s spam policies, last updated August 28, 2026. It reads: “Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users.” It covers pages with “little to no value to users, no matter how it’s created”.
The oldest page is a Google Search Central blog post by Danny Sullivan and Chris Nelson, dated February 8, 2023.
In that February 2023 post, Google wrote: “Appropriate use of AI or automation is not against our guidelines.” It also wrote: “Using AI doesn’t give content any special gains. It’s just content.”
The same post is just as plain about the other side: “If you see AI as an inexpensive, easy way to game search engine rankings, then no.”
Whether Google can detect AI content
None of the Google pages we read for this article says that Google detects or labels AI writing as such.
What Google does describe is how it finds spam. Its February 2023 post says: “We have a variety of systems, including SpamBrain… that analyze patterns and signals to help us identify spam content, however it is produced.”
So the question to ask of each page is the one in the spam policy: was it made to help the people reading it, or mainly to rank.
What can still go wrong with AI-made pages
Wrong facts. Google’s guidance explains that generative models “predict a likely sequence of words based on their training data”. Its advice: “It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.”
The parts of a page that show in search. That review also covers the page title, the meta description, structured data (code that describes the page to search engines) and the alt text on images. Google notes these “can appear in Search results”.
Made-up authors. Google’s page on creating helpful content, last updated October 5, 2026, calls fabricated creator profiles “a form of deception”. Its examples include “using AI-generated headshots, made-up names, or false credentials”.
Pages made in bulk. The same page asks: “Are you using extensive automation to produce content on many topics?” It sits under Google’s heading “Avoid creating search engine-first content”.
If you sell online
Google’s guidance also covers product data. It says “Google Merchant Center has policies for AI-generated content”, Merchant Center being where stores send their product listings to Google.
The rule it quotes is short: “AI-generated product data such as title and description attributes must be specified separately and labeled as AI-generated.”
If a tool wrote your product titles or descriptions, they need that label in the data you send.
A checklist to run before you publish
Items 1, 4 and 5 quote Google’s own questions and advice. Items 2, 3, 6 and 7 are our checks, each built on a Google line quoted above.
- Who wrote it, and who checked it. Google’s February 2023 post says giving AI an author byline “is probably not the best way to follow our recommendation”.
- Every fact checked by a person. Google calls this “critical”, for “all AI-generated content”.
- Title, meta description, structured data and alt text read by a person. These “can appear in Search results”, so they get the same review.
- How it was made is clear to visitors. Google asks: “Is the use of automation, including AI-generation, self-evident to visitors through disclosures or in other ways?”
- Made for readers first. Under its heading “Avoid creating search engine-first content”, Google asks: “Are you using extensive automation to produce content on many topics?”
- Something only you can add. The risk Google names is pages made “without adding value for users”. Add what you know firsthand, such as your own examples.
- Product data labeled, if you sell online. AI-written titles and descriptions are “labeled as AI-generated” in Merchant Center.
Next step
Our own articles end with their sources and the date we checked them, as in our PHP2Shell article.
Being found in Google, and in AI answers, is the work of our search and AI search services. Our article on generative engine optimization covers the AI answers side.
If you’d like to talk it through, book a call. It’s a 30-minute conversation with Simon or Phillip about your organization and whether we’re the right fit.
Sources
We checked every source in this article on October 25, 2026.
- Google Search Central, last updated October 1, 2026: Google Search’s guidance on using generative AI content on your website
- Google Search Central, last updated August 28, 2026: Spam policies for Google web search
- Google Search Central, last updated October 5, 2026: Creating helpful, reliable, people-first content
- Google Search Central Blog, Danny Sullivan and Chris Nelson, February 8, 2023: Google Search’s guidance about AI-generated content
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