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Google doesn’t penalize AI content; it penalizes content without value—whether typed by a human or a model. Since August 2026, AI text has carried an invisible watermark.
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Content Check
ExperienceOwn data, own casesPresent
ExpertiseAuthor with name and bioPresent
SourcesVerified and datedPresent
PurposeWritten for a readerPresent
The second foundation
Technology is one foundation, text is the other
A site that loads in 1.2 seconds but has nothing to say gets nowhere. The reverse is just as true. We treat your copy with the same discipline as the technology beneath it.
What Google rewards
Google’s own phrasing is that they reward high-quality contentContent All content on your website, such as text, images, and videos., however it is produced. It’s not who wrote it that counts, but whether it’s accurate, complete, and useful to someone.
What Google penalizes
Mass-producing pages without added value. This is called scaled content abuseScaled content abuse The mass production of pages without added value, created solely to be found in search engines. and has been in the spam policies since March 2024. Note the phrasing: this applies just as much to poor human work.
The spam policies state it almost literally: using generative AIAI Computer programs that perform tasks normally requiring human intelligence, such as writing text or answering questions. tools to create many pages without adding value for users. The problem is never the tool. It is always the intentSearch intent What someone actually aims to achieve with a search query..
Approach
Four rules for every text that goes live
The same sequence for every page, whether written entirely by hand or drafted with AI.
01
AI handles the routine work
Research, structure, and the first draft. That saves hours, and that saves you costs.
02
You provide what AI doesn’t know
Your data, your cases, your prices, your opinion. That is the difference between just another article and the source.
03
Everything is double-checked
Facts verified, sources opened. A model will invent sources that look convincing.
04
A human stands behind it
Every page has an author with a name, bio, and demonstrable expertise. That is the E-E-A-T signalE-E-A-T The four factors Google considers to determine if information is trustworthy: experience, expertise, authoritativeness, and trustworthiness. itself.
New since August 11, 2026
AI text now carries an invisible watermark
Since that date, Anthropic marks everything ClaudeClaude The AI assistant from Anthropic. writes. Invisibility woven into the text itself, and as signed provenance data in images. The mark travels with the text when you copy and paste, and sometimes survives editing. The driver is the EU AI ActAI Act The European law establishing rules for the creation and use of AI.; the rollout is worldwide. OpenAI is doing something similar, focused more on image and sound.
A mark does not prove authorship
It only means the text passed through the model. If you have your own text corrected or translated, it gets a mark even though you are the author.
No mark proves nothing
It disappears with heavy rewriting, in short texts, and when mixed with other material. A detector that finds nothing has proven nothing.
Why it matters
For Google, nothing changes. Outside of that, it does.
Google does not use watermarks as a ranking signalRanking Signal A characteristic that Google considers when determining a page's ranking. and has not announced plans to do so. There is no AI penalty in search resultsSearch Results The page containing links and advertisements that you see after searching for something on Google.. Where it will cause friction is in the surrounding ecosystem: LinkedIn is already testing for AI slopAI slop A derisive term for low-quality, rapidly generated AI text., publishers are using detection, and clients will soon run texts through a detector.
That is why we agree upfront on how AI will be used, instead of having to explain it afterward. A watermark in text that you conceived and approved is not a problem. A surprise afterward is.
Where it goes wrong in practice
- Publishing whatever rolls out of the model without adding anything of yourself.
- Producing twenty pages a week just because you can. Volume is exactly the pattern Google filters for.
- Adopting figures and sources that no one has verified.
- A page that exists only for a keyword and not for a reader.
- Being surprised by a detector afterward, instead of agreeing upfront on how you use AI.
Those who do it right win twice
The same approach pays off in GEO. ChatGPT, Perplexity, Claude, and Google’s AI answers prefer to cite sources with concrete, verifiable, and unique information. Exactly what generic AI text lacks. Optimizing for the reader and optimizing for an AI answer are the same task here.
Free website scan
Have your copy checked just like your technology
You will see which pages are too thin on content and where authors and sources are missing. You will also see which pages are better off being merged than rewritten.
