Content created substantially by AI models. Google evaluates it based on helpfulness, accuracy, and original value rather than whether an AI or human typed it.
AI-generated content is material produced substantially by a generative model. It can include text, images or other formats, and the label does not establish whether the result is accurate or useful. A fluent answer may contain unsupported details, while a plausible image may depict something that never happened.
For a business website, editorial responsibility remains with the publisher. Check facts, source support, rights, claims and the actual offer before publication. Do not present a generated testimonial, demonstration or first-hand experience as real evidence. When generation assists a useful resource, its contribution should not obscure who is responsible for verifying the final information.
Search quality is not a simple human-versus-machine classification. Google’s guidance emphasizes accurate, relevant, valuable content and warns about generating many pages without adding value. Rephrasing material at scale or adding artificial length does not solve that problem. The useful question is what the finished page contributes to the reader’s task.
Takeaway: Use generation where it helps create a reliable resource, then review the result against evidence and customer needs. Publishing speed does not remove the obligation to check what the business is claiming.
Example
A garden supplier uses a model to draft an outline for a product-care guide. Staff verify the instructions against the actual product documentation, replace invented details and add genuine limitations before publication. The initial draft is not treated as an authoritative source.
What to check
Check every consequential claim and distinguish real examples from hypothetical ones. Review generated images and quotations as carefully as text, and do not manufacture evidence to make a page appear experienced or trustworthy.
For more detail, see Google guidance on generative AI content.