On 1 October 2026, Google changed one page of its Search documentation, and the change reaches further into a website than most people will notice. The guidance on AI-generated content now says that all of it should be fact-checked by a person before it goes live, and it spells out that this includes the parts of a page nobody reads on purpose: the title, the meta description, the structured data and the alt text on your images.
I run an agency that publishes AI-assisted work for clients every week, and this site is drafted the same way. When I asked how often my team checked metadata before that date, the honest answer was sometimes. We always checked the body copy. The small print got checked whenever somebody remembered.
What Google changed on 1 October 2026
The page is Google Search’s guidance on using generative AI content, and the edit sits in its section on accuracy, quality and relevance. Google added three sentences there. Two of them explain the problem: generative AI models predict a likely sequence of words from their training data rather than looking facts up, so what they produce can contain errors, which Google calls hallucinations. The third sentence is the instruction:
“It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.”Google Search Central, updated 1 October 2026
The metadata line was reworded at the same time. It used to say the guidance included metadata. It now says the review also applies to title elements, meta descriptions, structured data and image alt text, all of which can appear in Search results. For structured data, Google adds that you should validate the markup and follow the policies for each search feature.
Matt G. Southern at Search Engine Journal compared it with the previous version, dated 10 December 2025, and found the rest of the page unchanged. Google’s changelog says the new wording came from its Search Quality Rater Guidelines.
AI content is still allowed. The same page says generative AI is useful for research and for adding structure to original work, and what can cost you rankings is still Google’s spam policy on scaled content abuse, meaning pages produced in bulk without adding value for the reader. Rater guidelines also do not set rankings directly. The update does take away an excuse, though. If a page with an invented figure gets you into trouble, saying the tool wrote it now runs against Google’s own published advice.
Why the small print needs the same review as the body copy
Body copy gets read. A writer reads it, an editor reads it, the client reads it, and whoever asked for the page reads it twice. The title, the meta description and the alt text often get generated and pasted in at the very end, by whoever happens to be uploading. Nobody signs them off, because nobody thinks of them as content.
They are often the first words a stranger sees. Google can use your meta description as the snippet under your listing. Alt text is read aloud by screen readers to people who cannot see the image, and it helps search engines understand what the image shows. Structured data hands Google your prices, dates, author and opening hours in a format machines read and display. A wrong figure in paragraph nine is embarrassing. The same figure in your schema can end up displayed in your search result.
That is why the metadata line is the part of this update that landed hardest with me. At OpenMinds, client work goes from writer to editor to client. That chain is good at catching a clumsy sentence. Until now it only sometimes reached the fields underneath.
What review has caught on my own work, and one it missed
This site is designed, built and drafted with AI assistance, and I review every line before it ships. I explained the full set-up in AI slop is a judgement problem. These examples come from exactly the kind of workflow Google is writing about.
For my article on zero-click search I pulled my own Search Console data. The first draft averaged periods that included a half-finished July, which made the fall in clicks look worse than it was. Every figure in it was real. The maths was wrong, and it read perfectly well. The published version compares complete months only and says why July is left out.
Two featured images for earlier articles on this site came back with text drawn into them, because the colour codes in my prompt had been rendered as visible characters. Both were regenerated. What caught them was looking at the images rather than the prompts, and a quickly written alt text would have described a clean illustration that was not the one on the page.
For my rebuild walkthrough I added two diagrams drawn in code. The stored markup was fine. When WordPress rendered the page, its automatic formatting slipped paragraph tags inside the drawing, and every label spilled out as oversized body text. I caught it in preview because I looked at the page instead of the code. Metadata behaves the same way: check the title and schema your site serves, which is not always what you typed into the box.
One did get past us. On a piece for a client, an AI-assisted draft carried a product detail that did not match what the client sells. It went through our writer and our editor before anyone noticed. It was the error Google’s new paragraph describes, plausible and fluent and wrong. Two things changed afterwards. We added a review step, and we adopted a source-first rule: drafts are built from facts the client has given us, never from what a model happens to believe about their category.
How I fact-check AI content before it goes live
- Every factual sentence has a source you can point to. The client’s brief, a document, a dataset, a page you have read yourself. If nobody can name the source, the sentence does not ship.
- Redo the numbers instead of rereading them. Rereading confirms what you expect to see. Recalculate the figure and check which dates it covers.
- Read the title and meta description as a searcher would. They should describe this page, promise nothing the page does not deliver, and still make sense if they are cut short.
- Read every alt text with the image open beside it. It should describe what is in the picture. Keyword lists, and anything that is not visibly there, come out.
- Validate structured data, then read it. Run it through Google’s Rich Results Test, or the Schema Markup Validator for types Google does not show as rich results, to catch errors. Then check the facts inside it: dates, prices, author, address. Markup can pass validation and still state the wrong price.
- Check the live page and its source. Templates, plugins and caching all change what goes out between the editor and the browser.
- One named person signs off, and it is someone other than whoever generated the draft.
On a small team the seventh point does most of the work. Give the metadata a named owner, so it stops being whatever the person uploading fills in last.
Everything on that list works with tools you already have, provided someone on the team is willing to say a sentence cannot go out yet. If you would like a second pair of eyes on how your team reviews AI-assisted work, start a conversation.
