In short: Not simply for being written with AI. Google says it focuses on the quality of content, not on how it was produced. AI becomes a problem when it is used to produce many pages without value in order to manipulate rankings: Google treats that as spam. If you review AI drafts before publishing, check the facts, add your own experience and name a real author, you are following Google's own advice.
The short answer: quality counts, not how content is made
Many people want to know whether Google can detect AI content, and whether AI-written SEO texts will be held against them. Google frames the question differently. In its official post on AI content it writes: "Our focus on the quality of content, rather than how content is produced, is a useful guide that has helped us deliver reliable, high quality results to users for years" (Google Search Central Blog, 8 February 2023 (external link)).
The same post explains how Google finds spam: "We have a variety of systems, including SpamBrain, that analyze patterns and signals to help us identify spam content, however it is produced." What Google targets is spam, whatever tool produced it.
AI does not bring an advantage either: "Using AI doesn't give content any special gains. It's just content. If it is useful, helpful, original, and satisfies aspects of E-E-A-T, it might do well in Search. If it doesn't, it might not" (Google Search Central Blog (external link)). So the use of AI is not what decides. A post is judged on what it offers readers.
What Google officially says about AI content
Google has set out its position on several Google Search Central pages. The key statements at a glance:
| What Google says | Source |
|---|---|
| Appropriate use of AI or automation is not against Google's guidelines. | Blog post on AI content, 8 February 2023 (external link) |
| Generative AI can help with research and with structuring original content. | Generative AI guidance, last updated 1 October 2026 (external link) |
| All AI-generated content should be fact-checked and reviewed by hand before publishing, metadata included. | Generative AI guidance, last updated 1 October 2026 (external link) |
| Automation used mainly to manipulate rankings violates the spam policies. | Creating helpful content, last updated 5 October 2026 (external link) |
In Google's own words, the first point reads: "Appropriate use of AI or automation is not against our guidelines." And the last one: "If you use automation, including AI-generation, to produce content for the primary purpose of manipulating search rankings, that's a violation of our spam policies." On the useful side, Google notes: "Generative AI can be particularly useful when researching a topic, and to add structure to original content." What matters is the purpose, not the tool.
What counts as spam: scaled content abuse
Google calls the problem scaled content abuse and defines it like this: "Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users" (Google spam policies, last updated 28 August 2026 (external link)).
The examples Google lists include:
- using generative AI to create many pages without adding value for users
- scraping feeds, search results or other content to create many pages, including through automated rewording or translation
- running several sites to hide how much content is being produced
Google's quality guidance is just as direct about effort: "automatically generating pages from feeds or using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort" (Google: creating helpful content (external link)). For an automated blog, that makes the human review the step that counts.
E-E-A-T: experience, expertise, authoritativeness and trust
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness. Google is clear about which one matters most: "Of these aspects, trust is most important." It also adds: "While E-E-A-T itself isn't a specific ranking factor, using a mix of factors that can identify content with good E-E-A-T is useful" (Google: creating helpful content (external link)).
This is where AI drafts fall short on their own. A language model does not know your customers or your projects. Experience and trust come in when a person with real knowledge checks the draft and adds to it.
Why human review and real authorship matter
Google recommends the review in plain terms: "It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing." According to the same page, this also applies to title elements, meta descriptions, structured data and image alt texts (Google: generative AI guidance (external link)).
Who stands behind a post matters just as much. Google warns: "Fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception" (Google: creating helpful content (external link)). So name a real person who takes responsibility for the post.
Checklist: review AI content before publishing
- Check the facts. Compare numbers, names, dates, prices and quotes against a reliable source.
- Cite your sources. Link to the studies, laws or manufacturer details the text relies on.
- Add your own experience. Include an example from your work, a real customer question or your own view.
- Read the title and meta description. Both can show up in search results, so both must be right.
- Check images and alt texts. The alt text should describe what is actually in the image.
- Check structured data. If your site outputs structured data, make sure it matches the post.
- Name the author. A real, named person stands behind the post.
- Consider a note on how it was made. Google says: "AI or automation disclosures are useful for content where someone might think 'How was this created?'. Consider adding these when it would be reasonably expected" (Google Search Central Blog (external link)).
To build this review step into an automated workflow, see our guide on how to automate blog posts in WordPress.
What to avoid
- Invented authors: no made-up names, AI headshots or false credentials.
- Mass pages: no stream of AI pages without value, such as near-identical posts for every keyword.
- Borrowed content: no other people's texts, whether translated or reworded automatically.
- Hidden volume: no extra sites set up just to spread out more content.
- Writing to a word count: Google asks in its guidance on helpful content (external link) whether you write to a word count and answers itself: "(No, we don't.)" There is no preferred length.
How Blog Automation supports the review
Blog Automation has a setting that always sends AI posts to review first, marked as recommended in the app. Posts move through draft, in review, approved, scheduled and published, and nothing is scheduled or published before approval. In the Pro plan, you decide through roles who may approve, for example with the reviewer role. An activity log records the steps. The editor offers SEO suggestions for title, description and slug, plus an alt text field for the featured image, and the media library can filter images without alt text. Read more about the approval workflow and the AI blog writer.
Frequently asked questions
Should I rewrite AI text so it sounds more human?
That misses the point. Google says it judges quality, not how content is produced. A text does not become more helpful just because it sounds different. Google's spam policies (external link) even list automated rewording of scraped content as an example of spam. Spend the time on facts and your own experience instead.
Should I list AI as the author?
Google's answer: "Giving AI an author byline is probably not the best way to follow our recommendation to make clear to readers when AI is part of the content creation process" (Google Search Central Blog (external link)). Name the person responsible for the post and, where it helps, explain how AI was used.
Is translating content with AI treated as spam?
Translating your own content is not among Google's spam examples. What Google does list is turning other people's content into many pages, including through automated translation, where little value is provided to users (spam policies (external link)). Review a translation like any other text.
What if only part of a post was written with AI?
The standard stays the same, because Google judges quality (external link) however the content was made. Review the whole post, not just the AI sections. Pay special attention to transitions, to facts in the AI parts and to whether the title and meta description still match the finished text.