{"id":1550722,"date":"2025-03-16T05:00:42","date_gmt":"2025-03-16T09:00:42","guid":{"rendered":"https:\/\/www.practicalecommerce.com\/?p=1550722"},"modified":"2025-03-17T06:08:40","modified_gmt":"2025-03-17T10:08:40","slug":"ai-prompts-for-better-product-descriptions","status":"publish","type":"post","link":"https:\/\/www.practicalecommerce.com\/ai-prompts-for-better-product-descriptions","title":{"rendered":"AI Prompts for Better Product Descriptions"},"content":{"rendered":"

Product descriptions have always been a vital ecommerce selling tool. But crafting unique and persuasive copy is challenging.<\/p>\n

So almost a decade ago, I wrote what has become one of my favorite articles, “How to ‘Manufacture’ Product Descriptions for Ecommerce<\/a>.” The piece describes a composition process and, ultimately, produces this description for a soup spoon:<\/p>\n

Hungry for some hearty chicken noodle or creamy clam chowder? This soup spoon has a large bowl meant to haul bisques and broths to your mouth. In fact, this soup spoon can hold about three times as much soupy goodness as your standard table spoon.\u00a0You could take three times as many bites, or you could buy this soup spoon and slurp large.<\/em><\/p>\n

Descriptions at Scale<\/h3>\n

I had been struggling with product descriptions on the website of my employer, a regional brick-and-click farm-and-ranch retailer. We had thousands of items. I tried three options: Amazon’s Mechanical Turk, a Romanian product description agency, and a template-based tool.<\/p>\n

\"Illustration

Artificial intelligence has made it easy to produce product descriptions in a mechanical or algorithmic way, almost like manufacturing.<\/p><\/div>\n

Writers hired via the Turk or in Romania tended to approach each description like a novel with a plot. Some descriptions were excellent<\/a>, but not all. The bad ones missed the point.<\/p>\n

I then devised the product description “manufacturing” process.<\/p>\n