Automation
app-store-optimization
App Store Optimization toolkit
---
name: app-store-optimization
description: App Store Optimization toolkit for researching keywords, optimizing metadata, and tracking mobile app performance on Apple App Store and Google Play Store.
triggers:
- ASO
- app store optimization
- app store ranking
- app keywords
- app metadata
- play store optimization
- app store listing
- improve app rankings
- app visibility
- app store SEO
- mobile app marketing
- app conversion rate
---
# App Store Optimization (ASO)
ASO tools for researching keywords, optimizing metadata, analyzing competitors, and improving app store visibility on Apple App Store and Google Play Store.
---
## Table of Contents
- [Keyword Research Workflow](#keyword-research-workflow)
- [Metadata Optimization Workflow](#metadata-optimization-workflow)
- [Competitor Analysis Workflow](#competitor-analysis-workflow)
- [App Launch Workflow](#app-launch-workflow)
- [A/B Testing Workflow](#ab-testing-workflow)
- [Before/After Examples](#beforeafter-examples)
- [Tools and References](#tools-and-references)
---
## Keyword Research Workflow
Discover and evaluate keywords that drive app store visibility.
### Workflow: Conduct Keyword Research
1. Define target audience and core app functions:
- Primary use case (what problem does the app solve)
- Target user demographics
- Competitive category
2. Generate seed keywords from:
- App features and benefits
- User language (not developer terminology)
- App store autocomplete suggestions
3. Expand keyword list using:
- Modifiers (free, best, simple)
- Actions (create, track, organize)
- Audiences (for students, for teams, for business)
4. Evaluate each keyword:
- Search volume (estimated monthly searches)
- Competition (number and quality of ranking apps)
- Relevance (alignment with app function)
5. Score and prioritize keywords:
- Primary: Title and keyword field (iOS)
- Secondary: Subtitle and short description
- Tertiary: Full description only
6. Map keywords to metadata locations
7. Document keyword strategy for tracking
8. **Validation:** Keywords scored; placement mapped; no competitor brand names included; no plurals in iOS keyword field
### Keyword Evaluation Criteria
| Factor | Weight | High Score Indicators |
|--------|--------|----------------------|
| Relevance | 35% | Describes core app function |
| Volume | 25% | 10,000+ monthly searches |
| Competition | 25% | Top 10 apps have <4.5 avg rating |
| Conversion | 15% | Transactional intent ("best X app") |
### Keyword Placement Priority
| Location | Search Weight | Character Limit |
|----------|---------------|-----------------|
| App Title | Highest | 30 (iOS) / 50 (Android) |
| Subtitle (iOS) | High | 30 |
| Keyword Field (iOS) | High | 100 |
| Short Description (Android) | High | 80 |
| Full Description | Medium | 4,000 |
See: [references/keyword-research-guide.md](references/keyword-research-guide.md)
---
## Metadata Optimization Workflow
Optimize app store listing elements for search ranking and conversion.
### Workflow: Optimize App Metadata
1. Audit current metadata against platform limits:
- Title character count and keyword presence
- Subtitle/short description usage
- Keyword field efficiency (iOS)
- Description keyword density
2. Optimize title following formula:
```
[Brand Name] - [Primary Keyword] [Secondary Keyword]
```
3. Write subtitle (iOS) or short description (Android):
- Focus on primary benefit
- Include secondary keyword
- Use action verbs
4. Optimize keyword field (iOS only):
- Remove duplicates from title
- Remove plurals (Apple indexes both forms)
- No spaces after commas
- Prioritize by score
5. Rewrite full description:
- Hook paragraph with value proposition
- Feature bullets with keywords
- Social proof section
- Call to action
6. Validate character counts for each field
7. Calculate keyword density (target 2-3% primary)
8. **Validation:** All fields within character limits; primary keyword in title; no keyword stuffing (>5%); natural language preserved
### Platform Character Limits
| Field | Apple App Store | Google Play Store |
|-------|-----------------|-------------------|
| Title | 30 characters | 50 characters |
| Subtitle | 30 characters | N/A |
| Short Description | N/A | 80 characters |
| Keywords | 100 characters | N/A |
| Promotional Text | 170 characters | N/A |
| Full Description | 4,000 characters | 4,000 characters |
| What's New | 4,000 characters | 500 characters |
### Description Structure
```
PARAGRAPH 1: Hook (50-100 words)
├── Address user pain point
├── State main value proposition
└── Include primary keyword
PARAGRAPH 2-3: Features (100-150 words)
├── Top 5 features with benefits
├── Bullet points for scanability
└── Secondary keywords naturally integrated
PARAGRAPH 4: Social Proof (50-75 words)
├── Download count or rating
├── Press mentions or awards
└── Summary of user testimonials
PARAGRAPH 5: Call to Action (25-50 words)
├── Clear next step
└── Reassurance (free trial, no signup)
```
See: [references/platform-requirements.md](references/platform-requirements.md)
---
## Competitor Analysis Workflow
Analyze top competitors to identify keyword gaps and positioning opportunities.
### Workflow: Analyze Competitor ASO Strategy
1. Identify top 10 competitors:
- Direct competitors (same core function)
- Indirect competitors (overlapping audience)
- Category leaders (top downloads)
2. Extract competitor keywords from:
- App titles and subtitles
- First 100 words of descriptions
- Visible metadata patterns
3. Build competitor keyword matrix:
- Map which keywords each competitor targets
- Calculate coverage percentage per keyword
4. Identify keyword gaps:
- Keywords with <40% competitor coverage
- High volume terms competitors miss
- Long-tail opportunities
5. Analyze competitor visual assets:
- Icon design patterns
- Screenshot messaging and style
- Video presence and quality
6. Compare ratings and review patterns:
- Average rating by competitor
- Common praise themes
- Common complaint themes
7. Document positioning opportunities
8. **Validation:** 10+ competitors analyzed; keyword matrix complete; gaps identified with volume estimates; visual audit documented
### Competitor Analysis Matrix
| Analysis Area | Data Points |
|---------------|-------------|
| Keywords | Title keywords, description frequency |
| Metadata | Character utilization, keyword density |
| Visuals | Icon style, screenshot count/style |
| Ratings | Average rating, total count, velocity |
| Reviews | Top praise, top complaints |
### Gap Analysis Template
| Opportunity Type | Example | Action |
|------------------|---------|--------|
| Keyword gap | "habit tracker" (40% coverage) | Add to keyword field |
| Feature gap | Competitor lacks widget | Highlight in screenshots |
| Visual gap | No videos in top 5 | Create app preview |
| Messaging gap | None mention "free" | Test free positioning |
---
## App Launch Workflow
Execute a structured launch for maximum initial visibility.
### Workflow: Launch App to Stores
1. Complete pre-launch preparation (4 weeks before):
- Finalize keywords and metadata
- Prepare all visual assets
- Set up analytics (Firebase, Mixpanel)
- Build press kit and media list
2. Submit for review (2 weeks before):
- Complete all store requirements
- Verify compliance with guidelines
- Prepare launch communications
3. Configure post-launch systems:
- Set up review monitoring
- Prepare response templates
- Configure rating prompt timing
4. Execute launch day:
- Verify app is live in both stores
- Announce across all channels
- Begin review response cycle
5. Monitor initial performance (days 1-7):
- Track download velocity hourly
- Monitor reviews and respond within 24 hours
- Document any issues for quick fixes
6. Conduct 7-day retrospective:
- Compare performance to projections
- Identify quick optimization wins
- Plan first metadata update
7. Schedule first update (2 weeks post-launch)
8. **Validation:** App live in stores; analytics tracking; review responses within 24h; download velocity documented; first update scheduled
### Pre-Launch Checklist
| Category | Items |
|----------|-------|
| Metadata | Title, subtitle, description, keywords |
| Visual Assets | Icon, screenshots (all sizes), video |
| Compliance | Age rating, privacy policy, content rights |
| Technical | App binary, signing certificates |
| Analytics | SDK integration, event tracking |
| Marketing | Press kit, social content, email ready |
### Launch Timing Considerations
| Factor | Recommendation |
|--------|----------------|
| Day of week | Tuesday-Wednesday (avoid weekends) |
| Time of day | Morning in target market timezone |
| Seasonal | Align with relevant category seasons |
| Competition | Avoid major competitor launch dates |
See: [references/aso-best-practices.md](references/aso-best-practices.md)
---
## A/B Testing Workflow
Test metadata and visual elements to improve conversion rates.
### Workflow: Run A/B Test
1. Select test element (prioritize by impact):
- Icon (highest impact)
- Screenshot 1 (high impact)
- Title (high impact)
- Short description (medium impact)
2. Form hypothesis:
```
If we [change], then [metric] will [improve/increase] by [amount]
because [rationale].
```
3. Create variants:
- Control: Current version
- Treatment: Single variable change
4. Calculate required sample size:
- Baseline conversion rate
- Minimum detectable effect (usually 5%)
- Statistical significance (95%)
5. Launch test:
- Apple: Use Product Page Optimization
- Android: Use Store Listing Experiments
6. Run test for minimum duration:
- At least 7 days
- Until statistical significance reached
7. Analyze results:
- Compare conversion rates
- Check statistical signi
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