Is AI-written product copy a problem for Google?

Getting AI to write your product descriptions is tempting: writing 300 products one by one can take weeks. But one question lingers: if Google notices, will it punish my store? Two extreme views circulate online. One says “Google catches AI text and buries it”; the other says “generate a thousand pages with AI and the traffic will come.” Neither matches what Google itself has written.

This guide covers what Google's official documentation says, what makes AI-written product copy risky and what to check before you publish, with sources for each point.

What does Google say? The short answer

In its 2023 statement on AI content, Google sets out the yardstick clearly: its systems aim to reward original, high-quality content, and the focus is on quality rather than how content is produced. Appropriate use of AI or automation isn't against its guidelines, but using automation, AI included, to generate content with the primary purpose of manipulating search rankings violates its spam policies (Google).

• AI on its own is neither a plus nor a minus. In Google's words, using AI doesn't give content any special gains; it's just content.
• Purpose decides. Google looks at whether content was created primarily for people or to manipulate search rankings, and recommends people-first content (Google: helpful content).
• You're expected to check it. Google calls it critical to manually fact-check and review all AI-generated content for accuracy and trustworthiness before publishing, and that includes the title and meta description that appear in search results (Google: generative AI content).

What is scaled content abuse?

This is the rule a store using AI for product copy really needs to know. Under Google's spam policies, scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings. It typically means large amounts of unoriginal content that provides little to no value to users, no matter how it's created (Google: spam policies). Three of Google's examples touch e-commerce directly:

• Using generative AI tools to generate many pages without adding value for users.
• Scraping other content to generate pages, including through automated transformations such as synonymizing or translating.
• Creating many pages that make little or no sense to a reader but contain search keywords.

Product pages are pages for real products that already exist; the real question is whether the copy you put on them tells the visitor anything. Nor is the rule specific to AI: “rewording” a supplier's text with synonyms fits the same description.

Four things that make AI copy risky

1. Copies of each other. Stamping one template across the whole catalog, with only the product name changing. Google asks whether content avoids simply copying or rewriting its sources and adds substantial value and originality (Google: helpful content).
2. Invented facts. To fill a gap, AI may write a size, material or warranty that isn't on the product card. That misleads customers and brings returns and complaints, and the same Google document asks whether content has easily verified factual errors.
3. Keyword stuffing. “Black leather wallet, best black leather wallet, cheap black leather wallet…” Repeating the same words so often that it sounds unnatural is listed as a separate example in Google's spam policies (Google: spam policies).
4. Publishing unread. Sending hundreds of drafts to the store without anyone looking at them. The one step that catches all three mistakes above is reading before you publish.

Safe use: your data, your approval

The answer to these risks isn't complicated. Use AI not as an author but as an assistant that turns your information into clean sentences: the facts come from the product, the decision comes from you.

Checklist before you publish

Before approving an AI draft, run through these points. Most of them are answered by reading the draft carefully once.

• Every size, material and feature in the copy is on the product card or in the supplier's documentation.
• Swap the product name and the copy wouldn't fit another product; it describes only this one.
• The main keyword reads naturally; the same phrase doesn't repeat over and over.
• There's no claim you can't back up, like “the best” or “the cheapest on the market”.
• Nothing that changes over time, such as campaigns, delivery times, installments or stock, has slipped into the copy.
• The SEO title and meta description read in full in search results (see the SEO title and meta description guides).
• The size table, images and videos in the description are still in place.

How this works in Roigo

In Roigo's SEO Studio, the flow follows the safe column above. But no writing rule replaces reading, so the last step is always yours:

1. The data comes from your store. You connect your ideasoft, ikas or Shopify store (on another platform, you upload your list with Excel), and the product's name, category, current description and store details come in.
2. Each product is written separately. Roigo AI writes every product one by one from its own data. Its rule is to use only the information given: no sizes, materials, warranties, discounts, shipping or stock promises that weren't provided, no unprovable superiority claims like “the best” and no keyword stuffing. That's a writing rule, not a guarantee, which is why the review step exists.
3. Tables and images are kept. Tables, images and videos in the current description are added below the new copy exactly as they are.
4. Drafts stay in the dashboard until you approve them. The review screen shows the Google preview, the SEO score's checks and the current version of the content; you edit or approve.
5. Only changed fields reach your store. What you approve is sent to your store; Roigo writes only the SEO fields that changed, then reads them back from your store to verify. Prices and stock are never touched, and every change keeps its before and after version.

If you've connected Search Console, Reports compares Google clicks on the pages you changed with pages you didn't touch, so you see whether the AI-written copy helped from your own data rather than by guesswork. On the Free plan you start with a one-time allowance of 50 product or category texts; the paid plans' monthly allowance is on the pricing page.

For how to structure the copy, see the product description guide; if your platform can't be connected, see bulk product SEO with Excel.