The short answer
Google does not say that it detects AI content. Google’s documentation does not say it detects AI text as such; it says what it evaluates is quality and intent. Google does not publish whether or how it classifies text as AI-written, so nobody outside Google can tell you that it does or that it does not.
What Google does publish is clear:
- It focuses on quality, not on how content was produced. That is the stated position in its guidance on AI-generated content.
- It looks for spam, however the spam was made. Content generated mainly to manipulate rankings breaks its spam policies, with or without AI.
- Using AI gives a page no special gains. Google’s wording is that it is “just content”, and that appropriate use of AI is not against its guidelines.
What Google says about AI content
Google’s main statement is the Search Central post Google Search’s guidance about AI-generated content, published in February 2023. Its first heading is “Rewarding high-quality content, however it is produced”.
| Question | What Google’s post says |
|---|---|
| What does Google focus on? | Its “focus on the quality of content, rather than how content is produced”. |
| Is AI content against the guidelines? | “Appropriate use of AI or automation is not against our guidelines.” |
| When does it break the rules? | When automation, including AI, is used to generate content with the primary purpose of manipulating ranking in search results. Google calls that a violation of its spam policies. |
| How does Google find AI used for spam? | It has “a variety of systems, including SpamBrain, that analyze patterns and signals to help us identify spam content, however it is produced.” |
| Will AI content rank? | Using AI gives content no special gains. If it is useful, helpful and original it might do well in Search. If it is not, it might not. |
Read the fourth row carefully. Google describes systems that identify spam. It does not describe a system that labels a page as AI-written, and it gives no detail about how those systems work beyond that sentence. Google’s current documentation page, guidance on using generative AI content on your website, takes the same line: it talks about value for users, accuracy and context, and it does not mention detecting AI text.
Check a draft for AI and plagiarism
What Google’s systems evaluate
Google’s pages describe four things it looks at. None of them depends on knowing who or what typed the words.
Whether the content is helpful and reliable
Google’s page on creating helpful, reliable, people-first content says its automated ranking systems are designed to prioritize helpful, reliable information that is created to benefit people, and not content created to manipulate search engine rankings. It lists questions to ask about your own pages. Does the content provide original information, reporting, research or analysis? Does it have any easily-verified factual errors?
Experience, expertise, authoritativeness and trust
The same page explains E-E-A-T. Google says its systems use a mix of factors to identify content that shows these qualities, that trust is the most important of them, and that E-E-A-T itself is not a specific ranking factor. One question on the page asks whether content clearly demonstrates first-hand expertise, such as having actually used a product or visited a place.
Whether pages were mass-produced to rank
Google’s spam policies define scaled content abuse as generating many pages for the primary purpose of manipulating search rankings and not helping users. The policy says this is typically about large amounts of unoriginal content that provides little to no value, “no matter how it’s created”. Its first example is using generative AI tools or similar tools to generate many pages without adding value for users.
Other spam signals
The spam policies page says Google detects policy-violating practices through automated systems and, as needed, human review that can result in a manual action. It says sites that violate the policies may rank lower in results or not appear in results at all. Scraping is one of the listed practices: copying content from other sites, changing it only slightly, and republishing it.
Why “can it be detected” is the wrong question
If you run a site, the question has little practical value. Google has told you what it rewards and what it treats as spam, and neither rule is “written by AI”.
- A detected page is not a penalised page. Google says appropriate use of AI is within its guidelines. Even if Google could label every AI-written sentence, its published rules would not act on the label alone.
- An undetected page is not a safe page. Thin, unoriginal pages made to rank fall under the spam policies however they were written. A person can write them too.
- Trying to hide AI use does not fix the real problem. If a page adds nothing for the reader, changing how the sentences sound leaves it adding nothing.
The useful questions are the ones Google asks. Is this page original? Is it accurate? Does it help the person who searched? Was it made for readers or for rankings? We go through those in is AI content bad for SEO?
What an AI detector is useful for
An AI detector does not tell you what Google will do. It answers a different question: how likely is it that this text was machine-written? That is useful inside an editorial workflow, where you have your own standards to keep.
- Checking submissions against a brief. If you paid a freelancer or an agency for human-written copy, or your client’s contract requires it, a detector gives you a first check on what was delivered.
- Finding passages to review. A score for each sentence shows an editor where to look first. Those passages are often the ones that need a fact-check, a source or a concrete example.
- Keeping a consistent process. Running every draft through the same check is fairer than judging by feel which writers to question.
For how detectors reach a score, see how AI detectors work. In short, they measure how predictable and uniform the language is, and return a likelihood.
The limits of an AI score
An AI score is a probability, not proof. Treat it that way.
- False positives happen. Short texts, formal writing and heavily edited drafts can read as machine-written when a person wrote them.
- False negatives happen too. AI text that a person has edited heavily can score low.
- A score should never be the only basis for rejecting a writer’s work. Ask about their drafts, notes and sources, and compare the piece with their earlier work, before you decide anything.
- A low score says nothing about quality. A page can be fully human-written and still be thin, inaccurate or copied.
That last point is why an AI check is only half of a pre-publication check. AI output can repeat wording that already exists elsewhere, which we cover in does ChatGPT plagiarize?
Checking a draft before you publish
Plagiarism Checker Plus runs a plagiarism check and an AI check in one report. The AI detector gives each sentence a likelihood of being AI-written, plus an overall score. The plagiarism checker links every matching source. The first check per tool is free up to 1,000 words without an account, and a free account includes 3,000 words a month. Your text is never used to train AI.
Teams can check drafts where they already work, with the Google Docs add-on and the Chrome extension, or send text from their own systems through the API.
It is not a preview of how Google will treat a page. No tool can give you that. Use it to find the sentences that need an edit, a citation or a fact-check, then judge the page by whether it helps the reader.