Google now states plainly that anyone publishing AI-generated content has to check it themselves first. The company rewrote part of its guidance for site owners on 1 October, adding a line that leaves little room for interpretation:
"It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing."
Two sentences sit in front of that one, and they explain the reasoning in terms Google had not previously put in writing. Generative models, the guidance now says, do not retrieve facts but predict a likely sequence of words from their training data, and because of that their output may contain inaccuracies, which it names as hallucinations.
The reach of the requirement widened at the same time. Where the previous version, dated December 2025, addressed the content itself, the updated text extends review to title elements, meta descriptions, structured data and image alt text. Those are the parts of a page most often generated in bulk, and the parts a human editor is least likely to read.
Google Has Said This Before, Just Not In The Documentation
The position itself is older than the update. Gary Illyes of Google's Search Relations team said in April 2024 that AI output always has to be fact-checked, and returned to it in August 2025 with the view that such content should be human curated. Until last week those were remarks at conferences and in podcasts rather than text a publisher could point to.
The guidance also connects the fact-checking line to Google's existing spam rules, specifically the scaled content abuse policy, which covers mass-produced pages that add little value for readers however they were made. Google's quality rater guidelines carry the same idea in the sections dealing with low-effort and scaled content.
What changed, then, is not the standard but its status. A documented requirement is something an organisation can be measured against, and it arrives as publishers across the web are producing more of their pages with models.
Gemini Started Labelling Its Traffic The Same Week
A second change landed in the same few days and points in a different direction. Gemini, Google's assistant, began adding UTM parameters to the links it sends to websites, which are the tracking tags that let analytics software identify where a visitor came from.
A user in the r/SEO community on Reddit noticed the tags, and John Mueller of Google confirmed seeing them in the discussion that followed. Google has not documented when Gemini applies them or how consistently, so the behaviour is visible but not yet specified.
For anyone measuring where their readers come from, the gap this closes is a real one. Until now the referrer information that identifies Gemini largely survived only on desktop browsers, which left much of the assistant's traffic recorded as Direct, the category analytics tools use when they cannot tell where a visit originated.
What Still Arrives Unlabelled
The tags cover the Gemini assistant rather than everything Google does with AI. AI Overviews and AI Mode sit inside search results and generate no separate referrer, and Google excludes them from the AI Assistants channel in Google Analytics by design, so clicks from those surfaces appear as ordinary organic search.
That distinction matters to the numbers more than it might appear. A site seeing little AI referral traffic may simply be receiving it through surfaces that do not identify themselves, and the measurable portion is the standalone assistant rather than the AI features built into Search.
OpenAI handles this differently again, tagging only the links in ChatGPT answers that are grounded in web sources rather than drawn from training data, which means each assistant reports a different slice of its own activity.
Accuracy And Attribution, Moving Together
Read side by side, the two changes describe the same week from opposite ends of the pipeline. Google is asking the people who publish with models to carry responsibility for what the models produce, and separately making a little more of the traffic those models generate visible to the sites receiving it.
Neither change creates an obligation that did not exist. Publishers were already accountable for what appeared on their pages, and Gemini was already sending visitors, whether or not they could be counted.
A Standard Written Down Is A Standard That Can Be Cited
The fact-check line is the more consequential of the two, because documentation is what people quote in editorial policies, client contracts and compliance reviews. A sentence in Google's own guidance gives that argument a reference it did not have a week ago.
The Gemini tags are smaller and less settled, undocumented by Google and inconsistent enough that nobody has established when they appear. What both have in common is a direction of travel: the AI-written page and the AI-driven visit are each becoming slightly easier to account for.
