The core capability to look for is structured, bulk generation. The best tools accept product attributes, such as material, size, features, and use case, and turn them into descriptions that read naturally instead of like a spec dump. Templates and saved brand voices matter enormously here, because the difference between AI copy that helps and AI copy that hurts is usually consistency across the catalog.
SEO is the second non-negotiable. A description that no one finds is wasted effort, so favor tools that weave in relevant keywords and structure copy for both shoppers and search engines. Some platforms combine writing with optimization scoring, which is ideal when product and category pages are a meaningful traffic source for your store.
Finally, think about workflow and editing. You will not publish raw AI output blindly; you will review, tweak, and approve. Tools that make it easy to generate variations, edit inline, and push copy back into your store reduce the real cost of the job, which is the human review time, not the generation itself. The winners minimize clicks between a spreadsheet of products and live, on-brand listings.