AI has become an essential part of SEO and content marketing, with most content writers and SEO specialists already using it to conduct research, create outlines, improve content, or draft initial versions.
Yet there is one point that remains unclear: is it acceptable to use AI-generated content on Google?
Yes, as Google states, with one exception. Google does not oppose the use of AI, but the problem arises when AI is mainly employed in producing a large amount of content that is not useful to humans. This is what Google's guidance stated on October 1, 2026.
I consider this to be important since many people still regard AI-generated content as either safe or unsafe; it in fact is neither.
Even if I use AI to carry out research on the subject or to organize my ideas or to draw up an outline, or even to write the first version of the text, the content needn't be considered spam. Google’s current guidance even says generative AI can be useful for researching a topic and adding structure to original content.
But publishing hundreds or thousands of AI-generated pages just because I want more pages indexed is a different situation. Google calls this scaled content abuse.
For example, a website may have 5,000 AI-generated pages, each targeting a different keyword. The pages may have correct grammar, keywords, headings, and meta descriptions.
But if most of these pages are similar, contain no original information, and are created only to get search traffic, good grammar will not make the content valuable.
Google also mentions other forms of scaled content, including information that has been scraped from other websites, rewritten content, information taken from a number of sources without adding any original value, and content which includes keywords but is not in fact understandable to users.
So the guidance is not really about detecting whether a human or AI wrote every sentence. It is much more about the purpose and quality of the content.
Another part of the 2026 guidance that needs to be given more attention is the fact-checking of content generated by AI.
Google has pointed out that generative AI models tend to produce incorrect information since they attempt to fill in words rather than look up verified facts in databases, and Google states that AI-generated content should be manually checked to ensure its accuracy and reliability.
The check should not be limited to the main body of the article; the title, the meta description, the structured data, and even the alternative text for images all need to be double-checked, especially in cases where inaccurate data could cause serious problems, for example in the health and finance sectors where people depend on such information.
Google has another suggestion concerning the present guidance relating to helping users understand the content creation process; Google states that providing information about the content creation process enables users to better comprehend the content.
The fact that this is the case does not mean that every blog post has to have an additional label saying "This was made with AI."
The more important thing is that there is real editorial responsibility behind the content.
If AI helped create an article, someone should still check the facts, add useful information, remove wrong information and make sure the final article actually makes sense for the audience.
This is also connected with Google's people-centric content guidance. Google still recommends creating content primarily for people instead of creating content mainly to attract search engine traffic. It warns against producing lots of content on different topics just hoping some of it will rank, using extensive automation across many topics, and simply summarizing what other websites have already said without adding much value.
Before, a lot of attention went into keywords, content length, and getting pages indexed. Those things still matter in the right situation too, but they are not enough.
Let’s say I am writing about an SEO update; for example, I would rather use AI to help me understand the announcement and organize information, then add my own observations, examples, and experience. That makes the article different from simply asking AI to write 1,000 words about the same announcement that hundreds of other websites are already covering.
That difference matters.
Google's 2026 guidance is not saying that websites should stop using AI. They are making it clear that AI should not become a shortcut for producing large amounts of pages with little original value.
There is also a broader point here. Google’s spam policies now describe spam as attempts to manipulate Search systems, including attempts to manipulate generative AI responses in Google Search.
I would not consider Google’s guidance for 2026 to be an “AI content is allowed” policy.
Rather, I would see it like this:
“Using AI is not the problem. Using AI to create content without adding real value is the problem”
AI can make content creation faster. It can help with research, outlines, editing, and many other parts of the workflow.
But publishing whatever AI produces without checking it is not a good SEO strategy.
The websites that use AI as a tool while still bringing human knowledge, experience, editing, and original information to the content have a much better chance of staying on the right side of Google's guidance.
And that is probably the part SEO teams should focus on.