Many businesses now write blog posts, product descriptions and website copy with the help of AI. That makes sense – AI helps research a topic, structure the text and saves time. Google is not against AI content, but in October it clarified what it expects from publishers.
What exactly changed?
AI content guide: fact-checking is a required step
Google’s “Using generative AI content” guide now states that generative models do not retrieve facts but predict a likely sequence of words based on their training data. As a result, AI output may contain errors, known as hallucinations. According to Google, it is critical to manually fact-check and review all AI-generated content before publishing so that it is accurate and trustworthy.
An important clarification: this review also applies to metadata – the page title (<title>), meta description, structured data and image alt text. These are exactly the things many tools and plugins let AI generate automatically without anyone reviewing them.
At the same time, the guide still says AI can be particularly useful for researching a topic and adding structure to original content. And the warning still applies: generating many pages that add no value for users may violate Google’s spam policy on scaled content abuse.
Helpful content guide: main content and authors
According to SEO publications, Google’s helpful content guide was updated at the same time. The reported changes:
- The quality of the main content is one of the most important factors in assessing a page – the part of the page that directly helps it achieve its purpose.
- Quality assessment highlights effort, originality, skill and accuracy.
- Fabricated authors – such as AI-generated profile photos, made-up names or false credentials – are treated as deception.
What it does not mean
- AI content is not banned. Google assesses the quality of content, not whether a person or a machine wrote it.
- No new penalty or detection method was announced. The guide describes what Google expects and aligns the documentation with its quality rater guidelines.
- It cannot be ignored. Inaccurate, generic or mass-produced content has always been bad for both readers and search results, and now it is clearly written down.
How to use AI correctly for blog and website copy
- Use AI as an assistant, not as the author. Let it help research the topic, suggest a structure and write a draft, but a person is responsible for the final text.
- Check every fact, number and date. Especially prices, laws, deadlines and technical details. If you cannot find a source, leave the claim out.
- Review the metadata too. Title, meta description, image alt text and structured data (e.g. FAQ) – do they match the actual content?
- Add your own experience. Examples from your projects, customer questions, local context – that is originality AI cannot create on its own.
- Use real authors. If a post has an author, it must be a real person or company, not a made-up “expert”.
- Prefer quality over quantity. One thorough and accurate post is worth more than ten superficial ones.
- Date it and keep it updated. For fast-moving topics (security updates, laws), state the date of the information and update the post when something changes.
How we do it
We also use AI when writing this blog – to research topics, work through sources and draft posts. But every post is based on specific sources, the facts are checked before publishing, and for fast-moving topics the article states the date of the information. Exactly as Google now recommends.
Summary
Google’s message is simple: AI is a good tool, but the publisher is responsible for making sure the content is accurate and useful. If you use AI for your website or blog copy, add a human fact-check to your workflow and review the metadata too. If you would like someone to review your website content and SEO or help create content that brings customers from search, see our SEO services or get in touch. You will also find practical ways to use AI in business in our article AI solutions for small businesses.
Frequently asked questions
Does Google penalise content written with AI?
Not for using AI. Google assesses the quality and usefulness of content. Inaccurate content or large numbers of generated pages that add no value for users can become a problem – that may violate Google’s spam policies.
What does it mean that metadata must be reviewed too?
According to Google’s guide, the fact-check also applies to the page title, meta description, structured data and image alt text. If you let AI or a plugin create them automatically, review them before publishing.
Do I need to label a post written with AI help?
Google’s search guidelines do not require it. What matters is that the content is accurate and the author information honest. Under the EU AI Act, labelling may be required for texts on matters of public interest published without human editorial review.
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