Product description prompt builder
A good product description does one job: it turns a list of features into reasons to buy. Most AI-written copy fails because the prompt just says “write a product description” and the model returns a spec sheet in full sentences. This builder assembles a prompt that forces the feature-to-benefit transformation, weaves in your SEO keywords without stuffing, and locks the tone and length to your brand and listing template.
Why generic prompts fail
The most common mistake when using an AI to write product copy is under-specifying the task. “Write a product description for a standing desk” leaves the model to guess who the customer is, what tone to use, which features matter most, and how long the output should be. The result is a middle-of-the-road paragraph that is accurate but not persuasive.
This builder avoids that by assembling a prompt with four constraints the model cannot ignore:
- The feature list — concrete specifications the model must transform into benefits, not just restate.
- The target customer — who this product is for, so the benefit framing speaks to a specific need.
- Tone and length — the voice and word count that matches your platform and brand.
- SEO keywords — a short list the model must incorporate naturally, not stuff.
How it works
You provide the product type, its concrete features, and the target customer. The generated prompt instructs the model to take each feature and state the benefit a shopper actually experiences, lead with the strongest benefit, and match the tone you selected. SEO keywords are passed as a list the model must work in naturally. The length setting controls whether you get a punchy two-liner for a category page or a full long-form description for a hero listing.
Adapting the prompt for different platforms
The generated prompt works as a starting point. Tune it per platform by adding a platform instruction at the end:
- For Amazon: “Format as five bullet points. Each bullet must open with an all-caps keyword phrase and close with the customer benefit.”
- For Shopify: “Return an HTML snippet with a short opening paragraph and an unordered list. Bold the opening benefit.”
- For Etsy: “Write in a warm, first-person maker’s voice. Open with the story of who this is for before listing the details.”
- For B2B product pages: “Use a confident, precise tone. Lead with the measurable outcome the buyer gets, then support with technical specs.”
Paste the generated prompt into your preferred AI assistant, review the output for accuracy, and edit any benefit claims that overstate what the product actually does. The prompt sets the structure; the final review keeps the copy honest.
Tips for conversions
Be specific with features — “waterproof to 10m” beats “durable” because specific features generate specific, believable benefits. Tell the model your single most important selling point so it opens strong. Keep keywords tight: three to five relevant terms read naturally; ten forces the model to stuff and the copy degrades. Match the platform voice to the buyer’s expectations — a handmade marketplace wants warmth and personality, while a B2B SaaS tool wants precision and confidence.