Google's AI content guidelines now say to fact-check everything

Google's page on using generative AI content on your website, the page most people mean when they say Google AI content guidelines, had last been updated in December 2025. Its section on accuracy already told site owners to focus on "accuracy, quality, and relevance," especially when content is generated automatically, and it already said that includes metadata.

The October 1 version adds the reason and the instruction. Generative models "don't retrieve facts, but predict a likely sequence of words," Google writes, so their output can contain inaccuracies, which Google calls hallucinations. Then comes the new line: "It is critical to manually factcheck and review all AI-generated content." Google asks for that review before publishing, for accuracy and trustworthiness.

Google's documentation changelog says the update adds information "from the Search Quality Raters guidelines" and gives the reason: "To get our documentation in sync with our presentations." Nothing in the update announces a new penalty. It reads as Google writing down what its team has been saying at its developer events.

AI content is still allowed. Google's 2023 post on AI-generated content says "Appropriate use of AI or automation is not against our guidelines." One of its headings is even shorter: "Rewarding high-quality content, however it is produced." Nothing in the October update walks that back.

The line Google draws is still about value. Its spam policies list using generative AI tools to "generate many pages without adding value for users" as an example of scaled content abuse. A thousand thin pages are a problem whether a person or a model typed them. One useful, checked page is fine either way.

Google says the review "also applies to metadata like" title elements, meta descriptions, structured data and image alt text, "which can appear in Search results."

This is where AI mistakes like to hide, because nobody reads metadata for fun. A page can read beautifully while its meta description promises Sunday hours you don't keep, its alt text describes last season's product, and its structured data lists a price from three updates ago. Each mistake is small. Each one can show up in Google before a single visitor reaches your page.

For structured data, Google also asks you to follow the general structured data guidelines and each search feature's own policies, and to validate the markup. Google's free Rich Results Test does the validating.

If you have never looked closely at your own snippets, our guide to writing meta descriptions is a good place to start, and how to get rich snippets covers the structured data side.

You don't need an editorial department to fact-check AI content. You need a habit and a name next to every page.

1. Give every AI-assisted page a human approver. One person signs off. No name, no publish.
2. Check every fact you could be wrong about. Numbers, names, dates, prices, hours, addresses, quotes and claims. If you can't point to a source for it, cut it or rewrite it.
3. Read the metadata out loud. The title, the meta description and the alt text should describe the page in front of you, not a page the model imagined.
4. Validate structured data before it ships. Run the page through the Rich Results Test and fix what it flags.
5. Audit what's already live, starting with what gets seen. Search Console shows which pages earn impressions. Check those first, because those are the pages people are reading.
6. Keep a short log. Note the page, who approved it and the date. When your hours, prices or services change, you'll know which pages to check again.

If you sell products through Google, there is one more rule. Google's page points to Merchant Center's policies for AI-generated content: AI-generated images must carry IPTC DigitalSourceType TrainedAlgorithmicMedia metadata, and AI-generated product titles and descriptions must be specified separately and labeled as AI-generated.

Google suggests it can help. If you automatically generate content, its guidance says to consider explaining how it was created "in a way that makes sense for your audience." For most sites that is a suggestion, not a requirement. A recipe blog and a bank will land in different places, which is exactly the point.

AI answers often draw on the same pages that rank in search. If a model summarizes your page, it summarizes your mistakes along with everything else. Checked content is how you show up in search results, extracted answers and AI citations without repeating one error in three places at once.

AI can draft. A person still has to sign. Google's October update doesn't change what gets rewarded. It writes the quiet part down: whoever publishes a page owns every word on it, including the ones hiding in the code.

If you want a place to start, pull the ten pages with the most impressions and check those first. That's where a wrong word costs the most.