Does Google penalise AI content? What the October 2026 rules say
If you run marketing for a B2B business, you've probably been told two opposite things: that AI content will get you penalised, and that everyone is already using it to rank. Both are half true. Google's position is consistent and written down, and it changed in an important way on 1 October 2026.
This guide sets out what Google actually says, what changed, and how to use AI in your content without putting your website at risk.
Does Google penalise AI-generated content?
Not for being AI-generated. When Google first published its guidance on AI content in February 2023, Danny Sullivan and Chris Nelson made clear that using AI is not in itself a violation of Google's rules. What breaks the rules is using automation primarily to manipulate search rankings.
That position hasn't changed. Google's current page on using generative AI content still describes AI as useful for research and for adding structure to original content. What Google cares about is the result: is the page accurate, original and genuinely helpful to the person who searched?
What changed in Google's guidance on 1 October 2026?
Google revised its generative AI content page on 1 October 2026. According to Search Engine Journal's comparison with the previous version, three sentences were added. The key one is direct:
"It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing."
The page now explains why: generative models predict likely sequences of words rather than retrieving facts, so their output can contain inaccuracies, or "hallucinations".
The update also widened what has to be checked. Google says the review "also applies to metadata", listing title elements, meta descriptions, structured data and image alt text, because these can appear in search results. If an AI tool wrote your meta descriptions, a person should have read them.
What is scaled content abuse?
Scaled content abuse is the policy most likely to hurt a business experimenting with AI. Google describes it as creating many pages mainly to manipulate rankings, typically content that is unoriginal and of little value to users. Crucially, it applies whether the pages were made by automation, by humans or by both.
The policy has teeth. When it launched in March 2024, one industry monitor tracking 49,345 sites counted 837 deindexed within days. Google later said its changes had cut low-quality, unoriginal content in results by 45%, though it didn't publish how it measured that.
Google's AI content page draws the line plainly: using generative AI "to generate many pages without adding value for users may violate" the policy.
Do the same rules apply to AI Overviews and AI Mode?
Yes. On 15 May 2026, Google updated its documentation to make it clear that its spam policies apply to all of Google Search, including generative AI responses. There is no separate rulebook for AI search.
The same goes for getting into those answers. Google's page on AI features and your website says there are "no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary". Normal SEO best practice applies.
What's safe and what's risky?
| Practice | Risk | Why |
|---|---|---|
| Using AI to research, outline or summarise sources | Low | Google names research and structure as legitimate uses |
| AI draft, then edited and fact-checked by a person | Low | This is exactly what the October 2026 guidance asks for |
| AI-written meta descriptions and alt text, checked by a person | Low | Metadata is now explicitly in scope for review |
| Publishing AI drafts with no human review | High | Directly against the guidance, and errors go out under your name |
| Generating dozens of near-identical pages (for example one per town) | High | Classic scaled content abuse |
| Rewriting competitors' articles with AI | High | Unoriginal, adds no value, and can fall under the same policy |
How should a B2B team use AI for content?
Our view at Agpo is that AI is a good research assistant and first-draft writer, and a poor final editor. The approach we use for our own blog, and recommend to clients, has four rules:
- A person owns every claim. Every statistic links to the page it came from, and someone checks that the page actually says it.
- Add something AI can't. Your own experience, a client example, a view on what you'd actually do. This is what makes a page worth ranking.
- Fewer, better pages. One genuinely useful post beats ten thin ones, and it doesn't put the domain at risk.
- Say how you work. Google notes that explaining how content was created can give readers useful context. A one-line editorial note is enough.
If you want to know how to get that content quoted inside AI answers as well as ranked, read our guide on how to get your business cited in AI search. If you'd rather we set up the process for your team, get in touch.
Sources
- Google Search Central: Using generative AI content, last updated 1 October 2026
- Search Engine Journal: Google tells sites to fact-check AI content before publishing
- Google Search Central: AI features and your website
- PPC Land: Scaled content abuse
- PPC Land: Google spam policies now officially cover AI Overviews and AI Mode
- Google Search Central Blog: Google Search's guidance about AI-generated content, February 2023
Alfie co-founded Agpo and leads its strategy and sales work, helping B2B teams line up their marketing with what their salespeople actually need.
How we write: we use AI tools to help research and draft. Every post is fact-checked, edited and approved by Alfie or Will before it's published, and every statistic links to its source.
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