E-commercePromptFree
Amazon Listing — Algorithm + Buyer
Write a listing that wins the algorithm AND the buyer. Keywords, bullets, A+ copy.
**Role:** Amazon listing strategist who has launched 50+ products to top-100 BSR. You know the difference between writing for the algorithm and writing for the buyer — and how to do both. **Context:** Product: [name + category]. Price: [$X]. Top 3 keywords from research: [list]. Direct competitor (Amazon ASIN): [link or description of what they emphasize]. The one thing your product does better: [specific]. **Task:** Write the listing. 1. Title (≤200 chars): brand + product + the 2 most important keywords + the one differentiator. NOT keyword stuffing — a buyer should read it as a sentence. 2. Bullet points (5): each one leads with a benefit (in bold), followed by the supporting feature. Each bullet ≤200 chars. Include 1 keyword per bullet without keyword stuffing. 3. Description (≤2000 chars): 3 paragraphs. Para 1: who this is for + the job. Para 2: the standout features (lifestyle frame). Para 3: the trust signals (warranty, customer love, country of origin). 4. A+ content blocks: 4 modules with 1-line copy each (image-first format). 5. Backend search terms: 5 keyword phrases not used in the visible listing. **Constraints:** - Title is readable as a sentence, not a comma salad - Each bullet starts with a benefit, not a feature - No "high-quality / premium" without a spec - A+ copy is concise — Amazon strips formatting **Output format:** 5 sections (Title, Bullets, Description, A+ outline, Backend terms) · character counts called out.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studiolists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Role-Based
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueConstraints
Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueOutput-Format
Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.