AI-Assisted Product Descriptions

We begin with your catalogue. We export products with titles, categories, attributes, dimensions, materials, variants, prices, images and any existing descriptions. We audit the quality: missing attributes, inconsistent naming, duplicate descriptions copied from suppliers, and products with no usable data. Poor input produces poor output, so we fix or fill data gaps first, sometimes with your supplier sheets or product experts. Next we study your best existing descriptions and your customers. What do shoppers need to know before buying? In fashion it may be fit, fabric and care; in electronics specifications and compatibility; in furniture dimensions and assembly. We define a description structure per category, for example a two-line summary, a bullet list of key features, a short paragraph on use and a care or specification section. We write a brand voice guide with tone, words to use and avoid, and examples. Then we build prompts and templates for each category. A prompt includes the voice, the structure, length targets, the product data as the only source of facts, and strict instructions not to add claims, prices or guarantees. It also asks for a meta title and meta description following SEO length guidelines. We run a pilot on twenty to fifty products, spanning categories and quality levels. Editors compare drafts against the data, correct errors and rate the results. We refine prompts based on recurring problems, such as repeated phrases, vague wording or overuse of adjectives. When the pilot reaches an acceptable accuracy and quality, we scale. We process products in batches, generating drafts into a spreadsheet alongside the source data. Automated checks look for missing sections, banned phrases, length limits, repeated sentences across products and numbers that do not match the data. Human editors then review every draft or a defined sample depending on risk: all drafts for high-value or regulated products, and a sample for low-risk items, with full review of any batch that fails the sample. We make sure each description is unique, because identical text across many pages looks thin to search engines and shoppers. We add internal links to related categories using guidance from store setup and management. Approved text is imported to your platform, such as WooCommerce, Shopify or Magento, using CSV or API, with a backup of the previous descriptions so you can roll back. We spot check live pages for formatting. After launch we monitor search performance and conversion on updated products, and refresh descriptions when data changes. We cannot guarantee higher rankings or sales, because many factors matter, and we disclose that AI is used in drafting. Where you prefer fully human writing for certain lines, we do that instead. Images and visual assets can be improved separately; see product photography.