Short answer
Not by itself. Google's concern is using AI “to generate many pages without adding value for users”, which can break its spam policy on scaled content abuse, and publishing AI text without checking it. Useful, accurate content is fine however it was drafted.What Google actually says
Google's guidance on generative AI content makes three points:
- Scale without value is the problem: “using generative AI tools or other similar tools to generate many pages without adding value for users may violate Google's spam policy on scaled content abuse.”
- Accuracy is your job: “It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.”
- That includes the small print: the same review “also applies to metadata like
<title>elements, meta description elements, structured data, and alternate texts for images.”
Source: Google Search Central.
Where AI content goes wrong
Not because a machine wrote it, but because of what it tends to be when nobody adds anything: generic, because it averages what already exists; wrong in places, stated confidently; and the same as every competitor who asked the same question. A page like that gives neither Google nor a customer a reason to pick you.
How to use it safely
- Start from your own facts: prices, process, areas, the questions customers ask you.
- Add what only you know: real examples, numbers, what you have seen go wrong.
- Check every claim before it is published.
- Write one page per real question, not ten variations of the same page for ten keywords.
The same applies to AI answers
ChatGPT and Google's AI Overviews quote pages that say something specific and checkable. A page of generic filler has nothing in it worth quoting, whoever wrote it.