Google now says that checking AI-generated content by hand before it goes live is “critical,” and the instruction reaches well beyond article text. The guidance page, refreshed October 1, 2026, applies the same review to the snippets, markup, and image descriptions that can appear in Search.
According to Google Search Central, the new wording sits in the section on accuracy, quality, and relevance. Google explains that generative models do not look up facts. They “predict a likely sequence of words based on their training data.” The page adds that outputs “may contain inaccuracies (also known as hallucinations).” The instruction follows: “It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.”
The review is not limited to body copy. Google’s page says it “also applies to metadata”. The named fields are the page title, the meta description, schema markup, and the text alternatives attached to images. Google notes that such items may surface on results pages. For schema markup, the page separately asks sites to follow the general guidelines and each feature’s own policies, and to validate the code.
Search Engine Journal’s Matt G. Southern compared the page with its December 10, 2025 version and found three sentences added. He also reported that the earlier metadata line said “This includes metadata,” so the shift is from a mention to an explicit extension of the review step. Southern wrote that Google’s documentation updates page links the change to its developer event talks, and that the changelog describes the update as made “with information from the Search Quality Raters guidelines.”
Much of the page is unchanged. It still presents generative AI as useful for topic research and for structuring original writing. It still warns that mass-producing pages that give users nothing extra can violate the scaled content abuse policy. It still refers readers to rater guideline sections 4.6.5 and 4.6.6, and says raters’ ratings “don’t directly influence ranking.”
That last point matters for interpretation. This is a documentation update, not a ranking announcement. Google does not say that unreviewed AI content will be demoted or penalized because of the new sentences. Barry Schwartz of Search Engine Roundtable observed that Google rarely uses the word “critical” in its Search help documentation, and wondered whether the September 2026 spam update targets these issues. That is his speculation. Google’s page makes no such link.
The practical shift is in what a team can defend. Until now, a review process for AI drafts was a quality choice. Google has now written the expectation down, and it covers every field a model might fill. Teams that generate titles, descriptions, schema, or alt text in bulk are the most exposed, because those fields rarely pass through an editor.
Three steps follow from this reading. First, inventory every place AI touches a published page, including templates and plugins that write metadata automatically. Second, record the review: who checked it, on what date, against which sources, and which version of the page they approved. A dated log lets you show that the check happened rather than assume it did. Third, add structured data validation to the same checklist, since Google asks for both accuracy and valid markup.
The guidance also suggests giving readers context on how content was created, such as how automation was used. A review record gives you the facts to write that disclosure honestly.
Online stores face extra labeling rules from Google Merchant Center for AI-generated product data and images. Those rules are separate from this page, so check them before assuming a general review process covers feeds.
Start by auditing one high-volume template where AI writes metadata, adding a named reviewer and a dated sign-off to it, and using that record as the model for the rest of your AI-assisted publishing.
Based on Google Search Central’s guidance on using generative AI content, updated October 1, 2026, with additional reporting from Search Engine Journal (Matt G. Southern) and Search Engine Roundtable (Barry Schwartz).
