Google AI content guidelines are clear on one point: check the facts before you publish. Google’s guidance on using generative AI content (last updated 1 October 2026) says “It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.” That review also covers titles, meta descriptions, structured data and image alt text, which “can appear in Search results”. Using AI is allowed. Publishing it unchecked is the risk. Brands Win, a Singapore-based agency that writes and optimises content for consumer brands, uses the routine below.
Checked against Google Search Central and Merchant Center Help, 15 October 2026.
What the Google AI content guidelines say now
Google’s page explains why: “generative models don’t retrieve facts, but predict a likely sequence of words based on their training data.” It goes on: “Because of this, generative AI outputs may contain inaccuracies (also known as hallucinations).”
Then: “It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.” The next sentence widens it: “This review also applies to metadata like <title> elements, meta description elements, structured data, and alternate texts for images, which can appear in Search results.”
Google’s Search documentation updates log (entry dated 1 October 2026) says Google “Updated the using generative AI content guide with information from the Search Quality Raters guidelines”. The reason given: “To get our documentation in sync with our presentations we use at our developer events.” The log doesn’t say which sentences are new, so it is safest to read the page as it stands today.
The page points readers to two sections of those rater guidelines: scaled content abuse (section 4.6.5) and main content created with “little to no effort, little to no originality, and little to no added value” (section 4.6.6). Google adds a caveat: “These guidelines are not a guide to ranking first in Google”, and “their ratings don’t directly influence ranking.”
What it doesn’t say: AI content is not banned
The page opens on a positive note: “Generative AI can be particularly useful when researching a topic, and to add structure to original content.” Google’s February 2023 post on AI-generated content (8 February 2023) is plainer still: “Appropriate use of AI or automation is not against our guidelines.”
The line Google draws is about scale without value. Using AI “to generate many pages without adding value for users may violate Google’s spam policy on scaled content abuse”. Google’s spam policies (last updated 28 August 2026) describe that abuse as content that “provides little to no value to users, no matter how it’s created.” The policy looks at what a page offers readers, not at how it was written.
Why AI-written metadata needs its own check
Metadata is short and often generated in bulk, so it is easy to skip in review. Yet titles, descriptions and some structured data are what people see in Search results before they reach your page, and alt text is what a screen reader reads aloud.
When AI writes these fields, these are the errors worth checking for. They are examples of what to look for, not measured rates:
- The wrong product name, variant, size or colour.
- A promo date or offer that isn’t on the page, such as an 11.11 deal copied onto a 12.12 page.
- A claim the page doesn’t support, such as “award-winning” or “best-selling”.
- Alt text describing something that isn’t in the image.
- Structured data listing details, reviews or stock status the page doesn’t show.
Each field needs the same fact-check as the body copy.
A pre-publish fact-check routine, field by field
Titles
Check that the title names the right product or topic and matches what the page delivers. Google’s title link guidance (last updated 10 December 2025) says “Write descriptive and concise text for your <title> elements”, “Avoid keyword stuffing” and “Avoid repeated or boilerplate text in <title> elements”. In AI drafts, watch for phrasing repeated across a product range.
Meta descriptions
Check every claim, date and offer against the page, and make sure no two pages share a description. Google’s snippet guidance (last updated 20 April 2026) says “Create unique descriptions for each page on your site” and, wherever possible, “create descriptions that accurately describe the specific page”. Google also says it “primarily uses the content on the page” to create snippets, so the page text needs to be accurate too, not just the description.
Structured data
Check that the markup describes what readers can actually see, then validate it. Google’s general structured data guidelines (last updated 10 July 2026) say “Don’t mark up content that is not visible to readers of the page” and “Don’t use structured data to deceive or mislead users.” The AI guidance also asks you to “validate the markup to ensure eligibility for Search features.” Compare each value, such as product name, availability and ratings, with the visible page. Eligibility is not a guarantee of any rich result, and the updates log’s 15 June 2026 entry notes that “The FAQ rich result feature is no longer shown in Google Search results”.
Alt text
Check each description against the actual image, not the product name. Google’s image SEO guidance (last updated 2 March 2026) says “The most important attribute when it comes to providing more metadata for an image is the alt text”, which “also improves accessibility for people who can’t see images on web pages”. For the wider image setup, see our image SEO checklist.
Body copy
Check facts, dates, product specifications, quotes and links against a named source, such as the product sheet, the promotion terms or the official page you are quoting. If no one can point to a source, take the line out.
If you sell on Google Shopping: AI-generated product data
Merchant Center has its own rules, separate from Search. They apply to the product data you send to Google, not to the pages on your website. Merchant Center Help on AI-generated content (undated, read 15 October 2026) says “we now require some types of product data to be identified as being AI-generated”.
- Titles: AI-written titles go in the
structured_titleattribute, withdigital_source_typeset to “trained_algorithmic_media”. - Descriptions: “All descriptions created using generative AI must be provided using” the
structured_descriptionattribute. - Images: AI-generated images must carry “the IPTC DigitalSourceType TrainedAlgorithmicMedia metadata tag”, and Google says not to remove embedded tags like this one.
Our Google Lens post covers Merchant Center image requirements, so we won’t repeat them here.
Who should own the fact-check
A routine only works if someone owns it. Name a reviewer for every AI-assisted page and its metadata, and keep a simple sign-off with three ticks: sources checked, metadata matches the page, structured data validated. Before 11.11 and 12.12, that can mean one person drafts with AI help and another checks before anything goes live.
Be open about how content was made where readers might wonder. Google’s helpful content guidance (last updated 5 October 2026) says AI or automation disclosures “are useful for content where someone might think ‘How was this created?'” and adds: “Consider adding these when it would be reasonably expected.” It also says fabricating creator profiles, “such as by using AI-generated headshots, made-up names, or false credentials”, is “a form of deception”. Marketplaces set their own labelling rules, covered in our post on AI content rules on TikTok Shop and Shopee.
At Brands Win, this check sits inside Growth System 90, the way we sequence content and SEO work, alongside our SEO and content services.
FAQs: Google AI content guidelines
Does Google penalise AI-generated content?
Google says appropriate use of AI or automation is not against its guidelines. The risk is using AI to generate many pages without adding value for users, which may violate its spam policy on scaled content abuse. Google also says it is critical to manually fact-check AI-generated content before publishing.
What did Google change in its AI content guidance on 1 October 2026?
Google updated its guidance on using generative AI content with information from the Search Quality Raters guidelines. The page says generative models predict likely words rather than retrieve facts, so outputs may contain inaccuracies, and it is critical to manually fact-check and review AI-generated content before publishing.
Do I need to fact-check AI-written meta descriptions and titles?
Yes. Google’s guidance says the review also applies to metadata, including title elements, meta descriptions, structured data and image alt text, because these can appear in Search results. Check that every claim, date and product detail matches the page, and that each description is unique.
Can I use AI to write alt text for product images?
You can, but check each one against the actual image before publishing. Google calls alt text the most important attribute for image metadata, and it also helps people who use screen readers. Alt text should describe what the image really shows.
Do I have to label AI-generated content on my website?
Google’s helpful content guidance says AI or automation disclosures are useful where readers might ask how the content was created, and suggests adding them when reasonably expected. Merchant Center is stricter: AI-generated product titles, descriptions and images must be identified as AI-generated.
Do Google’s quality rater guidelines affect rankings?
Not directly. Google says the rater guidelines are not a guide to ranking first, and that raters’ ratings don’t directly influence ranking. They help Google evaluate its ranking systems, so they are a useful benchmark for what Google considers low-effort or scaled content.