Your product descriptions say 'high quality' and 'best value' and so does everyone else's. Customers skim right past them. Here's how to use AI to write descriptions that actually make people want to buy — specific, benefit-driven, and impossible to ignore.
| Tool | What It Does | Cost | Link |
|---|---|---|---|
| Claude or ChatGPT | Writes compelling product descriptions from basic details | Free | Sign up → |
What to do: For each product or service, write down: what it is, who it’s for, what problem it solves, what makes it different, the price, and any specs that matter. Don’t worry about writing well — just dump the facts.
Why you’re doing it: AI can’t write a good description from nothing. The more specific details you give it, the better the output. Think of this as giving the AI your expertise.
What to expect: 2–3 minutes per product. You know this stuff — you just haven’t written it down in a structured way.
What to do: Use this prompt for each product: “Write a product description for [product name]. Here are the details: [paste your notes]. Write 50–80 words. Lead with the main benefit, not the features. Use sensory language. End with a reason to buy now. Don’t use words like ‘high-quality,’ ‘best,’ or ‘premium’ — be specific instead.”
Why you’re doing it: The prompt constraints force the AI to write tight, benefit-focused copy instead of generic fluff. The ban on buzzwords forces specificity.
What to expect: A punchy description that leads with what the customer gets, not what the product is. Example: Instead of “High-quality leather wallet,” you get “Fits in your front pocket without the bulk. Full-grain leather that gets better with age. Six card slots, RFID blocking, and a bill compartment that actually holds bills flat.”
Common mistakes: Accepting the first draft without comparison. Generate 3 versions and pick the best one, or combine the best parts of each.
What to do: Read each AI description and add one thing only you know — a customer favorite detail, a manufacturing story, a specific use case, a comparison to competitors. This is what makes it authentic.
Why you’re doing it: AI writes clean copy. You add the insider knowledge that makes someone trust it. “We tested 14 leather suppliers before picking this one” is the kind of detail AI can’t invent.
What to expect: 1–2 minutes per description. One added sentence or detail per product.
What to do: Paste the final descriptions into your website, Shopify, Etsy, Amazon, or wherever you sell. Make sure you include a clear price and a call-to-action button. If the platform allows it, use bullet points for key specs below the main description.
Why you’re doing it: Great copy doesn’t work if it’s buried or poorly formatted. The description, price, and “Buy” button should be visible without scrolling.
What to expect: 2 minutes per product to paste and format. If you have 50 products, batch them — do 10 per session.
What to do: After 2 weeks, check your sales data. Did any products see a bump after the new descriptions? For products that didn’t improve, try a different angle — lead with a different benefit, target a different customer, or add a customer review quote.
Why you’re doing it: Product descriptions are not set-and-forget. The first version is a hypothesis. Data tells you what actually works.
This workflow is Beta — Based on Best Available Knowledge. This is a copywriting workflow using AI as a drafting tool. We’ve tested the prompting approach across multiple product types. Results depend on the quality and specificity of your input details.