app-store-optimization

Manage — App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and G

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Last source activity: April 18, 2026 at 09:35
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name	app-store-optimization
description	Manage — App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and G
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"]
executor	HYBRID
skill_id	business.marketing-skill.app-store-optimization
status	ADOPTED
security	{"level":"standard","pii":false,"approval_required":false}
anchors	["business","data","research"]
tier	2
input_schema	[{"name":"code_or_task","type":"string","description":"Code snippet, script, or task description to process","required":true}]
output_schema	[{"name":"result","type":"object","description":"Result from the automated action"},{"name":"status","type":"string","description":"Execution status: success \| partial \| failure"}]

App Store Optimization (ASO)

Keyword Research Workflow

Discover and evaluate keywords that drive app store visibility.

Workflow: Conduct Keyword Research

Define target audience and core app functions:
- Primary use case (what problem does the app solve)
- Target user demographics
- Competitive category
Generate seed keywords from:
- App features and benefits
- User language (not developer terminology)
- App store autocomplete suggestions
Expand keyword list using:
- Modifiers (free, best, simple)
- Actions (create, track, organize)
- Audiences (for students, for teams, for business)
Evaluate each keyword:
- Search volume (estimated monthly searches)
- Competition (number and quality of ranking apps)
- Relevance (alignment with app function)
Score and prioritize keywords:
- Primary: Title and keyword field (iOS)
- Secondary: Subtitle and short description
- Tertiary: Full description only
Map keywords to metadata locations
Document keyword strategy for tracking
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
App Title	Highest
Subtitle (iOS)	High
Keyword Field (iOS)	High
Short Description (Android)	High
Full Description	Medium

See: references/keyword-research-guide.md

Audit current metadata against platform limits:
- Title character count and keyword presence
- Subtitle/short description usage
- Keyword field efficiency (iOS)
- Description keyword density

Optimize title following formula:

[Brand Name] - [Primary Keyword] [Secondary Keyword]

Write subtitle (iOS) or short description (Android):
- Focus on primary benefit
- Include secondary keyword
- Use action verbs
Optimize keyword field (iOS only):
- Remove duplicates from title
- Remove plurals (Apple indexes both forms)
- No spaces after commas
- Prioritize by score
Rewrite full description:
- Hook paragraph with value proposition
- Feature bullets with keywords
- Social proof section
- Call to action
Validate character counts for each field
Calculate keyword density (target 2-3% primary)
Validation: All fields within character limits; primary keyword in title; no keyword stuffing (>5%); natural language preserved

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

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)

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

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

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

Select test element (prioritize by impact):
- Icon (highest impact)
- Screenshot 1 (high impact)
- Title (high impact)
- Short description (medium impact)

Form hypothesis:

If we [change], then [metric] will [improve/increase] by [amount]
because [rationale].

Create variants:
- Control: Current version
- Treatment: Single variable change
Calculate required sample size:
- Baseline conversion rate
- Minimum detectable effect (usually 5%)
- Statistical significance (95%)
Launch test:
- Apple: Use Product Page Optimization
- Android: Use Store Listing Experiments
Run test for minimum duration:
- At least 7 days
- Until statistical significance reached
Analyze results:
- Compare conversion rates
- Check statistical significance
- Document learnings
Validation: Single variable tested; sample size sufficient; significance reached (95%); results documented; winner implemented

Element	Conversion Impact	Test Complexity
App Icon	10-25% lift possible	Medium (design needed)
Screenshot 1	15-35% lift possible	Medium
Title	5-15% lift possible	Low
Short Description	5-10% lift possible	Low
Video	10-20% lift possible	High

TEST ID: ASO-2025-001
ELEMENT: App Icon
HYPOTHESIS: A bolder color icon will increase conversion by 10%
START DATE: [Date]
END DATE: [Date]

RESULTS:
├── Control CVR: 4.2%
├── Treatment CVR: 4.8%
├── Lift: +14.3%
├── Significance: 97%
└── Decision: Implement treatment

LEARNINGS:
- Bold colors outperform muted tones in this category
- Apply to screenshot backgrounds for next test

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Script	Purpose	Usage
keyword_analyzer.py	Analyze keywords for volume and competition	`python keyword_analyzer.py --keywords "todo,task,planner"`
metadata_optimizer.py	Validate metadata character limits and density	`python metadata_optimizer.py --platform ios --title "App Title"`
competitor_analyzer.py	Extract and compare competitor keywords	`python competitor_analyzer.py --competitors "App1,App2,App3"`
aso_scorer.py	Calculate overall ASO health score	`python aso_scorer.py --app-id com.example.app`
ab_test_planner.py	Plan tests and calculate sample sizes	`python ab_test_planner.py --cvr 0.05 --lift 0.10`
review_analyzer.py	Analyze review sentiment and themes	`python review_analyzer.py --app-id com.example.app`
launch_checklist.py	Generate platform-specific launch checklists	`python launch_checklist.py --platform ios`
localization_helper.py	Manage multi-language metadata	`python localization_helper.py --locales "en,es,de,ja"`

Document	Content
platform-requirements.md	iOS and Android metadata specs, visual asset requirements
aso-best-practices.md	Optimization strategies, rating management, launch tactics
keyword-research-guide.md	Research methodology, evaluation framework, tracking

Platform / Constraint	Behavior / Impact
iOS keyword changes	Require app submission
iOS promotional text	Editable without an app update
Android metadata changes	Index in 1-2 hours
Android keyword field	None — use description instead
Keyword volume data	Estimates only; no official source
Competitor data	Public listings only

When you ask for...	You get...
"ASO audit"	Full app store listing audit with prioritized fixes
"Keyword research"	Keyword list with search volume and difficulty scores
"Optimize my listing"	Rewritten title, subtitle, description, keyword field