How to Write Product Descriptions with AI: The Complete Guide
AI can absolutely write good product descriptions. It can also write the exact same generic prose that shoppers ignore. The difference is the inputs you feed it, the platform rules you encode, and the edit pass you do at the end. Here's the full workflow that consistently produces copy that converts.
Step 1 — Gather the inputs that matter
- Product name, exactly as it appears on your listing.
- Category — 'kitchen', 'apparel', 'electronics'. This drives tone.
- 3-6 concrete features — not marketing adjectives. '32oz, vacuum insulated, cotton wick, 40h burn time' beats 'premium quality, amazing design'.
- Target platform — Amazon, Etsy, Shopify, eBay. Different platforms, different rules.
- Tone — professional, casual, luxury, fun, technical.
- Language — write natively, don't translate.
Step 2 — Encode platform rules into the prompt
Generic AI doesn't know that Amazon bullets start with ALL CAPS benefits, that Etsy tags are capped at 20 characters each, that Shopify descriptions work better with H2 subheads. Your prompt (or the tool you use) has to encode these rules explicitly. Without that, you get prose that 'sounds right' but breaks the platform.
Step 3 — The edit pass AI can't do
- Remove every adjective that doesn't earn its place. 'Premium', 'best-in-class', 'cutting-edge' all go.
- Add specificity the model guessed at. '40-hour burn time' not 'long burn time'.
- Fix claims that drift into legal risk — 'FDA approved', 'lifetime guarantee', '100% effective' should never appear unless you can prove them in court.
- Read it aloud. If you stumble, rewrite that sentence.
The hallucination trap (and how to catch it)
Every AI generator will occasionally invent a feature your product doesn't have — '32oz' becomes '24oz', 'cotton wick' becomes 'wooden wick'. These aren't typos; they're plausible-but-wrong. Always compare the output against your input feature list before publishing. Automated grounding checks help on numeric values, but even with that, human eyes catch things automation misses.
When to use AI and when not to
- Use AI: writing 200 variant descriptions for a Shopify store, localising listings into 15 languages, drafting first-pass copy for a new collection.
- Don't use AI: your flagship product, the item on your homepage, anything that needs to express brand voice you've spent years building.
- Hybrid: AI for first draft, you for the final 10 minutes of polish. That's where most of the leverage is.
FAQ
What's the best AI for product descriptions?
Depends on platform. Generic chat models (GPT-3 and its descendants) work but require you to prompt every rule manually. Purpose-built tools that encode platform constraints let you skip the prompt-engineering and just hand over the product.
Will Amazon or Shopify ban AI-generated descriptions?
Neither platform restricts AI-written content. They do ban low-quality and policy-violating content, which is why you still need the edit pass.
How long does it take to generate 100 product descriptions with AI?
With a batch tool, about 15-20 minutes of setup + 5 minutes of processing. With ChatGPT manually, about 4 hours. The setup cost pays off after the 10th description.