How to Write Product Descriptions with AI

Good product copy translates features into benefits. A feature is what the product has, and a benefit is what that does for the buyer. A useful bridge phrase is 'so that': a machine-washable cover, so that spills are easy to clean up. A strong description says who the product is for, states its main benefit, lists the key specs, and covers what is included, compatibility, and care or sizing. Format depends on where the listing appears. Marketplaces usually have a title, bullet points and character limits, while your own shop gives you more freedom. Follow each platform's rules. Several commerce platforms now include built-in generators, such as Shopify Magic. The same principles apply to those tools as to a general chatbot. To write many descriptions at once, build a template with fixed sections and a style guide covering voice, reading level and banned words. Include two or three approved examples, then feed in one row of product data at a time. The most important instruction is to use only facts from the input and to write 'MISSING' when information is absent. Without that rule, models fill gaps with plausible details such as dimensions, materials or certifications. False claims are a legal issue, not just a style issue. In the United States, the FTC expects advertisers to have evidence for objective claims. Its Green Guides cover environmental terms such as 'eco-friendly' and 'recyclable,' and health claims draw especially close scrutiny. Other countries have their own advertising rules. Superlatives like 'fastest' need proof when they read as factual. A common misconception is that search engines penalize copy simply because AI wrote it. Google has said it judges content on quality and helpfulness, not on how it was produced. Specific, accurate copy also stands out from manufacturer text repeated across many shops.