Not for using AI as such. Google's spam policies target scaled content abuse, defined as many pages generated for the primary purpose of manipulating search rankings, and that rule applies however the pages are produced. The risk comes from volume without value, not from the tool.
What does Google's policy actually say?
Google's spam policies define the relevant rule in one sentence: "Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings." The policy page was last updated on 2026-08-28 (Google Search Central, spam policies).
The same page gives an AI-specific example of what the rule covers: "Using generative AI tools or other similar tools to generate many pages without adding value for users." Read both sentences together. The trigger is many pages, made mainly to manipulate rankings, with no value added. Generative AI is named as one way to do it, not as the offence.
Is AI-written content against the rules by itself?
No. The policy is method-neutral and dates to the March 2024 spam update, which Google said targeted unoriginal, low-value content (Google Search Central blog, March 2024). The rule would apply equally to a content farm paying humans to churn out near-duplicate pages.
Google has also published a position on AI and quality that is summarized as rewarding high-quality content, however it is produced (Google Search Central blog, February 2023). We quote that wording from a secondary note and did not re-fetch the page, so check it yourself before relying on the exact phrase.
What counts as scaled content abuse in practice?
Google does not publish a page-count threshold, and we found none. The practical reading of the policy is about intent and value, not a number. This is our interpretation, not Google's wording.
- Higher risk: templated or programmatic page sets that differ only by a swapped keyword or city, with little unique data, published at volume.
- Lower risk: AI-assisted drafts that a person edits, enriches with first-hand detail, and publishes one at a time.
A useful test is to ask what a reader gets from page two that they did not get from page one. If the honest answer is nothing, the page set is a liability whoever or whatever wrote it.
A useful test is to ask what a reader gets from page two that they did not get from page one.
What about the 2026 spam updates people are discussing?
You may have read about a March 2026 update aimed at scaled content, an August 2026 spam update, and a May 2026 extension of spam rules to AI Overviews. In our research these appear only in third-party blogs. We could not confirm them against a Google source, so we mark them unverified and do not build advice on them.
The cautious response is the same either way. If your process would survive a strict reading of the March 2024 policy, it does not depend on the details of any one update.
What does safe AI-assisted publishing look like?
These habits keep a small site on the right side of the policy as written. Again, they are our interpretation of it, not a guarantee from Google.
- Draft from your own material: your site, your product facts, your customer questions.
- Have a human read and edit every page before it goes live. Add what only you know.
- Publish at a pace you can review, one article at a time, not hundreds in a day.
- Cite sources for factual claims, and remove claims you cannot source.
- Skip near-duplicate pages. Merge or redirect them instead of publishing them.
- Check that internal links point at pages that really exist.
Nothing here promises a ranking. It only reduces the chance that your content falls into the pattern the policy describes.
What if you have already published a lot of AI content?
Review it before changing anything else. Export a list of the pages, then sort them into three piles. Keep pages that answer a real question and add something specific. Improve pages that are on a good topic but thin, by adding first-hand detail, sourced facts and a clearer answer. Merge or redirect pages that repeat each other.
Be patient with the results. Google has not published how long a cleanup takes to be reflected, and we found no verified timeline, so beware of anyone who quotes one. Make the changes, record the date, and watch Search Console over the following weeks instead of judging after a few days.
If you are unsure whether a page set is a problem, read it as a visitor would. A page that you would be embarrassed to send to a customer is a page to fix or remove, whatever the policy says.
How does Seedcite handle this?
Seedcite is built around approval. It drafts from your real site and the sources you supply, runs an edit pass, checks links, and then holds each post in a queue where you approve, edit or skip it. Nothing publishes without your say.
That design is a response to the policy risk, but it does not make the policy risk disappear. The quality of what you approve is still your responsibility, and we do not promise rankings. Our only traffic promise is a refund under our 90-day results guarantee. If you are weighing a tool that publishes automatically in bulk, the questions to ask are the same: who reviews each page, and what does each page add?
Sources
- Checked 2026-10-20Google Search Central: spam policies for Google web search https://developers.google.com/search/docs/essentials/spam-policies
- Checked 2026-10-20Google Search Central blog: March 2024 core update and spam policies https://developers.google.com/search/blog/2024/03/core-update-spam-policies
- Unverified, wordingGoogle Search Central blog: Google Search and AI-generated content https://developers.google.com/search/blog/2023/02/google-search-and-ai-content