In short
- Google does not penalize AI-generated content as such: it judges quality and usefulness, not the production method.
- The red line is scaled content abuse: many pages produced primarily to manipulate rankings, with no value for the user.
- For an e-commerce site, AI is the ideal tool for producing tags and texts across thousands of pages, provided it starts from each page's real data and the output is checked.
- The safeguards that matter: real sources, rules by page type, independent review, fact checking.
"Is Google going to penalize my AI-generated texts?" This is the first question e-commerce teams ask when they consider automating their SEO production. Google's answer is clear, and it shifts the question: what matters is not the tool, it is the result.
What Google says
In February 2023, Google published its position on AI-generated content. It comes down to three ideas:
- the production method is not the criterion: Google rewards useful and reliable content, regardless of how it is produced;
- automation is nothing new: it has long produced useful content, such as sports results or weather forecasts;
- what is sanctioned is the use of automation, AI included, primarily to manipulate rankings.
Google also recommends verifying the accuracy of generated content before publication.
Where the red line lies
Since March 2024, Google's spam policies have defined scaled content abuse precisely: creating many pages primarily to manipulate rankings, without helping users. Examples include:
- generating many pages with AI without adding value;
- automatically transforming existing content (synonyms, translation, rewriting) with no added value;
- assembling content from different pages without adding anything;
- creating pages that make no sense to a reader but contain keywords.
Note that these criteria apply "regardless of the method": a fill-in-the-blank text template completed by hand for 2,000 categories raises the same problem as a worthless AI text.
Why AI is suited to e-commerce
An e-commerce site needs tags and texts for thousands of categories and facets, in several languages, updated with every catalogue change. That is a volume no team can produce by hand with consistent quality. AI makes it possible to treat each page individually instead of falling back on a single template, which is precisely what Google asks for: content specific to each page, useful to the visitor.
The condition is not to ask it "write an SEO text about fitted sheets", but to give it the page's real data and a strict framework.
The safeguards that make the difference
| Safeguard | What it prevents |
|---|---|
| Starting from the page's real content (products, brands, materials, sizes) | Generic texts that are interchangeable from one category to another |
| Relying on real queries (Search Console) | Texts targeting queries nobody types |
| Applying rules by page type | A buying guide text on a category, or the opposite |
| An independent review of the writing | Redundancies, jargon, empty phrases, forced keywords |
| Checking claims about the offer | A brand you do not sell, a service that does not exist, an incorrect feature |
| Length budgets, not quotas | Padding to reach a word count |
How unblind applies these safeguards
unblind was built around these principles. Each page is analyzed by our crawler, Search Console queries and DataForSEO data are cross-referenced, and a brief sets the main query and the buying decisions to cover. After writing, a second, independent pass reviews the final text against around twenty defects to detect, and checks that every claim about the merchant's offer is confirmed by the page. If more than 20% of sentences are copied from the page, the text is rewritten. The detail of this chain is in our guide to category SEO text.
Frequently asked questions
Does Google penalize AI-written texts?
No. Google states that using AI or automation is not against its rules in itself. What is sanctioned is content produced primarily to manipulate rankings, without adding value, regardless of how it is created.
Should AI-generated texts be reviewed?
Yes. Google recommends verifying the accuracy of generated content. On an e-commerce site, the main risk is an inaccurate claim about the offer: a brand you do not sell, a service that does not exist, an incorrect feature. A review, whether human or automated and controlled, is essential.