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.
Vorlage
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.Variablen
Geschätzte Kosten
Eingabe-Tokens pro Aufruf : ≈ 243
| Modell | Pro Aufruf | Pro 1.000 Aufrufe |
|---|---|---|
| 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 € |
| Selbst gehostetes Open-Source-Modell (Ollama, vLLM) | 0 € API-Kosten (nur Serverkosten) | |
Nur Eingabekosten, ohne die Antwort des Modells. Öffentliche Standardpreise der Anbieter (Mistral AI, DeepSeek, OpenAI, Anthropic) von USD in Euro umgerechnet zum EZB-Kurs vom 29. September 2026. Schätzung: 1 Token ≈ 3,6 Zeichen.
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 →
Eine Version im Code festlegen
import contexte p = contexte.load("contextetech/amazon-shopify-product-listing", version=1) print(p.fill(marketplace="…", product="…", specs="…", audience="…"))
$ contexte get vqf4s1#v1 Statistiken
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Klicken Sie auf einen Zähler, um ihn ein- oder auszublenden; fahren Sie über das Diagramm für Details. Ein Aufruf pro Besucher und Tag, ohne Bots; Zählung seit dem 30. September 2026.
- Kennung
- contextetech--amazon-shopify-product-listing
- Typ
- Prompts
- Datei
- amazon-shopify-product-listing.json
- Format
- JSON (application/json)
- Größe
- 1.029 Bytes (1 KB)
- Kodierung
- UTF-8
- Geschätzte Tokens
- ≈ 286
- Sprache
- Englisch
- Lizenz
- MIT
- Kommerzielle Nutzung
- Erlaubt
- Personenbezogene Daten
- Keine
- Version
- 1.0
- Veröffentlicht am
- 2. Oktober 2026 um 21:54
- Aktualisiert am
- 2. Oktober 2026 um 21:54
- Speicherung
- in der Datenbank
- Nutzungen
- 0
- Gefällt mir
- 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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