AI prompt for an Amazon or Shopify product listing
Prompt to write a product listing for Amazon or Shopify in English: title, 5 bullet points and description, from raw product specs.
Plantilla
Write a product listing for an online store ({{marketplace}}).
Product: {{product}}
Specs: {{specs}}
Target customer: {{audience}}
Return, in American English:
1. A title under 150 characters, main keyword first, no promotional claims ("best", "#1")
2. Five bullet points, each starting with a short benefit in capitals followed by the supporting spec
3. A 150 to 200 word description in plain, concrete language
4. Five search terms customers would type, comma-separated
Use U.S. units (inches, pounds, °F). Do not invent any feature that is not in the specs.Variables
Coste estimado
Tokens de entrada por llamada : ≈ 243
| Modelo | Por llamada | Por 1.000 llamadas |
|---|---|---|
| Mistral Large · Mistral AI | 0,00011 € | 0,11 € |
| DeepSeek Flash · DeepSeek | 0,00006 € | 0,06 € |
| DeepSeek V4 Pro · DeepSeek | 0,00028 € | 0,28 € |
| GPT-6 Luna · OpenAI | 0,00002 € | 0,02 € |
| GPT-6 Sol · OpenAI | 0,00043 € | 0,43 € |
| Claude Sonnet 5.5 · Anthropic | 0,00043 € | 0,43 € |
| Claude Opus 5.5 · Anthropic | 0,00086 € | 0,86 € |
| Modelo de código abierto autoalojado (Ollama, vLLM) | 0 € de API (solo el coste del servidor) | |
Solo coste de entrada, sin la respuesta del modelo. Precios públicos estándar de los proveedores (Mistral AI, DeepSeek, OpenAI, Anthropic) convertidos de USD a euros al tipo del BCE del 29 de septiembre de 2026. Estimación: 1 token ≈ 3,6 caracteres.
Common to all 3 regions
Created by the author, no outside source.
Commercial use allowed · credit the author · changes allowed.
Text or data only: no access to files, network or commands.
Hosted in France (Scaleway, Paris). No transfer outside the EU.
European Union · 5/5
No personal data.
No training data: no summary required.
United States · 5/5
No personal data.
No training data: no documentation to publish.
China · 5/5
No personal data.
No training data; AI-generated content published in China must be labelled (2025).
Indicative summary as of 30/09/2026, not a legal certification. Method and sources →
Fijar una versión en tu código
import contexte p = contexte.load("contextetech/amazon-shopify-product-listing", version=1) print(p.fill(marketplace="…", product="…", specs="…", audience="…"))
$ contexte get vqf4s1#v1 Estadísticas
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- Identificador
- contextetech--amazon-shopify-product-listing
- Tipo
- Prompts
- Archivo
- amazon-shopify-product-listing.json
- Formato
- JSON (application/json)
- Tamaño
- 1029 bytes (1 KB)
- Codificación
- UTF-8
- Tokens estimados
- ≈ 286
- Idioma
- Inglés
- Licencia
- MIT
- Uso comercial
- Permitido
- Datos personales
- Ninguno
- Versión
- 1.0
- Publicado el
- 2 de octubre de 2026 a las 21:54
- Actualizado el
- 2 de octubre de 2026 a las 21:54
- Almacenamiento
- en base de datos
- Usos
- 0
- Me gusta
- 0
Python contexte
$ pip install contexte import contexte p = contexte.load("contextetech/amazon-shopify-product-listing") print(p.fill(marketplace="…", product="…", specs="…", audience="…"))
$ contexte get vqf4s1 amazon-shopify-product-listing.json
{
"format": "contextec/prompt/v1",
"id": "contextetech/amazon-shopify-product-listing",
"description": "Prompt to write a product listing for Amazon or Shopify in English: title, 5 bullet points and description, from raw product specs.",
"tags": [
"ecommerce",
"copywriting",
"seo"
],
"license": "MIT",
"language": "en",
"template": "Write a product listing for an online store ({{marketplace}}).\n\nProduct: {{product}}\nSpecs: {{specs}}\nTarget customer: {{audience}}\n\nReturn, in American English:\n1. A title under 150 characters, main keyword first, no promotional claims (\"best\", \"#1\")\n2. Five bullet points, each starting with a short benefit in capitals followed by the supporting spec\n3. A 150 to 200 word description in plain, concrete language\n4. Five search terms customers would type, comma-separated\n\nUse U.S. units (inches, pounds, °F). Do not invent any feature that is not in the specs.",
"variables": [
"marketplace",
"product",
"specs",
"audience"
]
}
Comunidad
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