Short answer: no, not for being written with AI. Google has said plainly that "appropriate use of AI or automation is not against our guidelines." What gets sites in trouble is publishing lots of pages that add nothing, which Google calls scaled content abuse, and that applies "no matter how it's created," by AI, by people or by both.
What Google says
In its guidance on AI-generated content (February 2023), Google describes its focus as "the quality of content, rather than how content is produced." Its ranking systems aim to reward content that shows "expertise, experience, authoritativeness, and trustworthiness."
The line is drawn in Google's spam policies. Scaled content abuse is "when many pages are generated for the primary purpose of manipulating search rankings and not helping users." Google's examples include:
- "Using generative AI tools or other similar tools to generate many pages without adding value for users"
- "Scraping feeds, search results, or other content to generate many pages," including "automated transformations like synonymizing, translating, or other obfuscation techniques"
- "Stitching or combining content from different web pages without adding value"
Notice the common thread: many pages and without adding value. The tool isn't the problem.
What that looks like in practice
| Probably fine | Probably scaled content abuse |
|---|---|
| AI helps draft a post built on your own data, tests or experience, and a person checks it | Hundreds of AI pages targeting keyword variations, each saying what the top results already say |
| AI summarizes your own notes or call transcripts into a guide | Rewriting other sites' articles with AI so they look new |
| Location pages with real local details, staff and photos | The same location page cloned for 300 cities with only the city name swapped |
| A clear byline, sources and an explanation of how the content was made | No author, no sources, a new post every hour |
What we've seen on our own sites
We run sites that publish with AI help, so we watch this closely.
The quiet failure is more common than a penalty. One of our own sites published about 200 blog posts from June on, written with AI help, competent but general. Between August and early November, 141 of them showed up in Google's results. 132 got zero clicks. All 141 together earned 12 clicks from about 12,900 impressions. Nothing was penalized. Google simply had better pages to show.
Specific, grounded content does work. On three apartment building sites, we published about 30 posts each, drafted with AI but built from each building's real facts. Search impressions rose 1.7x to 6.1x within five weeks. The posts that did best answered questions only that building could answer. The full case study is here.
How to use AI without the risk
- Start from something only you have: your data, your test, your customer questions, your photos. Use AI to help write it up, not to invent the substance.
- Have a person check every page before it goes live, especially every number and claim.
- Publish at a human pace. One good post beats ten general ones. If a page wouldn't be worth reading without the search traffic, don't publish it.
- Put a real name on it, and link your sources. Google suggests accurate bylines "when readers would reasonably expect it."
- Say how you made it when readers would wonder. Google calls AI disclosures "useful for content where someone might think" about how it was produced.
We follow the same rules here: AI helps us monitor news and draft posts, but every story includes our own data or work, a named editor checks it, and our About page explains exactly how we use AI.
