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.
Modello
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.Variabili
Costo stimato
Token di input per chiamata : ≈ 243
| Modello | Per chiamata | Per 1.000 chiamate |
|---|---|---|
| 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 € |
| Modello open source self-hosted (Ollama, vLLM) | 0 € di API (solo costo del server) | |
Solo costo di input, esclusa la risposta del modello. Prezzi pubblici standard dei fornitori (Mistral AI, DeepSeek, OpenAI, Anthropic) convertiti da USD in euro al cambio BCE del 29 settembre 2026. Stima: 1 token ≈ 3,6 caratteri.
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 →
Fissare una versione nel codice
import contexte p = contexte.load("contextetech/amazon-shopify-product-listing", version=1) print(p.fill(marketplace="…", product="…", specs="…", audience="…"))
$ contexte get vqf4s1#v1 Statistiche
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- Identificativo
- contextetech--amazon-shopify-product-listing
- Tipo
- Prompt
- File
- amazon-shopify-product-listing.json
- Formato
- JSON (application/json)
- Dimensione
- 1029 byte (1 KB)
- Codifica
- UTF-8
- Token stimati
- ≈ 286
- Lingua
- Inglese
- Licenza
- MIT
- Uso commerciale
- Consentito
- Dati personali
- Nessuno
- Versione
- 1.0
- Pubblicato il
- 2 ottobre 2026 alle ore 21:54
- Aggiornato il
- 2 ottobre 2026 alle ore 21:54
- Archiviazione
- nel database
- Utilizzi
- 0
- Mi piace
- 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"
]
}
Community
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