WRITING PRODUCT DESCRIPTIONS WITH AI WITHOUT BEING PENALISED BY GOOGLE

Google does not penalise texts written by an AI. It penalises empty texts: the same sentences on three hundred pages, with no information the customer could not find elsewhere. The method below avoids both pitfalls.

1. Start from your data, not from nothing

Composition, origin, dimensions, use, care, what customers say, what you answer at the counter. A table with these columns per product. AI writes from that, and every page contains facts nobody else has.

2. One template, one voice

Decide the structure once: a two-line hook, who it is for, how to use it, what to know before buying, the frequent question. And the tone: yours, written in an instruction reused for every product.

3. Generate, then proofread in batches

Twenty pages at a time. You proofread in ten minutes, correct what sounds wrong, delete the superlatives. A page that says “exceptional” says nothing; a page that says “keeps three weeks refrigerated” sells.

4. What AI must not invent

Regulated claims (health, organic, origin), lead times, prices, compatibilities. These fields come from your database, never from the model.

5. SEO, without forcing

The product name in the title, a short description for Google, alt attributes on the photos, Product structured data (price, availability, reviews). It is done in the template, once, not in each text.

What it gives

For a store of 200 references: two days of data preparation, one day of generation and proofreading, then unique, accurate pages that customers read. Versus several weeks by hand, or pages copied from the supplier that Google already sees on twenty other sites.

Frequently asked questions