Der Prompt
Assume the role of a **senior global ASO strategist** specializing in metadata optimization, keyword strategy, and multilingual localization.
Your primary goal is **maximum discoverability and conversion**, strictly following Apple’s 2025 App Store guidelines.
You will generate **all App Store metadata fields** for every locale listed below.
---
# **APP INFORMATION**
- **Brand Name:** ${app_name}
- **Concept:** ${describe_your_app}
- **Themes:** ${app_keywords}
- **Target Audience:** ${target_audience}
- **Competitors:** ${competitor_apps}
---
# **OUTPUT FIELDS REQUIRED FOR EACH LOCALE**
For **each** locale, generate:
### **1. App Name (Title) — Max 30 chars**
**Updated rules merged from all prompts:**
- Must **always** include the brand name “DishBook”.
- **Brand must appear at the END** of the App Name.
- May add 1–2 high-value keywords **before** the brand using separators:
`–` `:` or `|`
- Use **full 30-character limit** when possible.
- Must be **SEO-maximized**, **non-repetitive**, **localized**, and **culturally natural**.
- **No keyword stuffing**, no ALL CAPS.
- Avoid “best, free, #1, official” and competitor names.
- Critical keywords should appear within the **first 25 characters**.
- Always remain clear, readable, memorable.
---
### **2. Subtitle — Max 30 chars**
- Use full character limit.
- Must include **secondary high-value keywords** _not present in the App Name._
- Must highlight **core purpose or benefit**.
- Must be **localized**, not directly translated.
- No repeated words from App Name.
- No hype words (“best”, “top”, “#1”, “official”, etc).
- Natural, human, semantic phrasing.
---
### **3. Promotional Text — Max 170 chars**
- Action-oriented, high-SEO, high-conversion message.
- Fully localized & culturally adapted.
- Highlight value, benefits, use cases.
- No placeholders or fluff.
---
### **4. Description — Max 4000 chars**
- Professional, SEO-rich, fully localized.
- Use line breaks, paragraphs, bullet points.
- Prioritize clarity and value.
- Must feel **native** to each locale’s reading style.
- Region-appropriate terminology, food culture references, meal-planning norms.
- Avoid claims that violate Apple guidelines.
---
### **5. Keywords Field — Max 100 chars**
**This section integrates your FULL KEYWORD FIELD OPTIMIZATION PROMPT.**
Rules:
- Up to **100 characters**, including commas.
- **Comma-separated, no spaces**, e.g. `recipe,dinner,mealplan`
- **lowercase only.**
- **Singular forms only.**
- **Do not repeat any word**.
- No brand names or trademarks.
- No filler words (“app”, “best”, “free”, “top”, etc).
- Include misspellings/slang **only if high search volume**.
- Apply **cross-localization (Super-Geo)** where beneficial.
- Every locale’s keyword list must be:
- Unique
- High-volume
- Regionally natural
- Strategically clustered (semantic adjacency)
- Fill character limit as close as possible to 100 without exceeding.
- Plan for iterative optimization every 4–6 weeks.
---
# **LOCALES TO GENERATE FOR (in this order)**
```
en-US
en-GB
en-CA
en-AU
ar-SA
ca-ES
zh-Hans
zh-Hant
hr-HR
cs-CZ
da-DK
nl-NL
fi-FI
fr-FR
fr-CA
de-DE
el-GR
he-IL
hi-IN
hu-HU
id-ID
it-IT
ja-JP
ko-KR
ms-MY
no
pl-PL
pt-BR
pt-PT
ro-RO
ru-RU
sk-SK
es-MX
es-ES
sv-SE
th-TH
tr-TR
uk-UA
vi-VN
```
---
# **FINAL OUTPUT FORMAT**
Return one single **JSON object** strictly formatted as follows:
```json
{
"en-US": {
"name": "…",
"subtitle": "…",
"promotional_text": "…",
"description": "…",
"keywords": "…"
},
"en-GB": {
"name": "…",
"subtitle": "…",
"promotional_text": "…",
"description": "…",
"keywords": "…"
},
"en-CA": { … },
...
"vi-VN": { … }
}
```
- No explanation text.
- No commentary.
- No placeholders.
- Ensure every field complies with its character limit.
---
# **EXECUTION**
When I provide the metadata generation request, produce the **complete final JSON** exactly as specified above.
So nutzt du diesen Prompt
Kopiere den Prompt oben oder klicke einen "Öffnen in"-Button um ihn direkt in deiner bevorzugten KI zu starten. Du kannst den Text dann an deinen Anwendungsfall anpassen — z.B. Platzhalter wie [dein Thema] durch echten Kontext ersetzen.
Welches KI-Modell funktioniert am besten
ChatGPT, Claude und Gemini liefern alle gute Ergebnisse für diese Art von Prompt. Claude ist meist am nuanciertesten, ChatGPT am schnellsten, Gemini am besten wenn visueller Input oder Google-Workspace-Daten involviert sind.
Diesen Prompt anpassen
Passe den Prompt an deinen konkreten Use-Case an. Ersetze Platzhalter (meist in Klammern oder Großbuchstaben) mit deinem eigenen Kontext. Je mehr Details du lieferst, desto präziser die Antwort.
Typische Anwendungsfälle
- In ChatGPT, Claude oder Gemini sofort einsetzen
- An dein spezifisches Projekt oder Branche anpassen
- Als Startpunkt für deinen eigenen benutzerdefinierten Prompt nutzen
- Mit verschiedenen Models vergleichen um das beste für deinen Fall zu finden
- Im Team teilen als Standard-Workflow
Variationen
Passe den Tonfall an (lockerer, technischer), ändere das Ausgabeformat (Aufzählungen vs. Absätze) oder füge Einschränkungen hinzu (Wortlimits, Zielgruppe).
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