An AI-powered app store optimization agent that analyzes iOS App Store and Google Play Store listings to maximize search visibility, conversion rates, and app downloads.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aso-audit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aso-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is App Store Optimization (ASO) Audit?
The App Store Optimization (ASO) Audit skill is a specialized agent workflow designed to programmatically evaluate and optimize mobile app listings on the Apple App Store and Google Play Store. Leveraging advanced extraction and indexing rules, this tool helps developers and growth marketers diagnose performance bottlenecks, optimize ranking signals, and improve download conversion rates without relying on expensive SaaS tools.
By integrating this skill into your workflow with Openclaw Skills, you get automated analysis of metadata, visual layouts, and competitive indexing. Unlike naive keyword checkers, this agent understands the distinct technical differences between iOS and Android indexing algorithms, such as Apple's 100-byte hidden keyword field versus Google's NLP semantic parsing, and adjusts its assessment based on your brand maturity tier.
App Store Optimization (ASO) Audit Use Cases
- Launching a new app and needing a pre-release keyword and listing alignment review.
- Auditing an existing Apple App Store or Google Play Store listing to resolve declining organic downloads.
- Performing a competitive gap analysis against 2-3 top category rivals to identify unexploited search keywords.
- Adjusting app marketing strategies based on brand maturity, ensuring Challenger apps hit strict textbook guidelines while Dominant brand rules are respected.
- Automating post-update conversion audits to verify screenshot, video, and promotional text performance.
How App Store Optimization (ASO) Audit Works
- Identify Store & Fetch Metadata: Detects the platform (Apple vs. Google) from the provided URL or searches the stores if only given an app name. It then extracts all indexed and non-indexed text and metadata fields.
- Visual Asset Assessment: Triggers page screenshots to evaluate visual assets like screenshots, preview videos, icon quality, and promotional copy layout.
- Assess Brand Maturity: Classifies the app into Dominant, Established, or Challenger tiers. This dynamic grading ensures established or household brands are not unfairly penalized for deliberate, data-driven design deviations from standard textbook ASO.
- Dimension Scoring: Scores the listing across 6 core weighted dimensions (Title/Subtitle, Description, Visuals, Ratings, Freshness, and Conversion Signals) to calculate a final optimized score out of 100.
- Competitor Comparison (Optional): If competitors are specified, the agent performs concurrent scoring to isolate keyword gaps and visual advantages.
- Actionable Report Generation: Delivers a structured, prioritized action plan outlining quick wins, character count revisions, and platform-specific fixes.
App Store Optimization (ASO) Audit Setup
Configure the ASO Audit agent within your repository. To get the most personalized recommendations, it is highly recommended to provide local context before running an audit.
mkdir -p .agents
touch .agents/product-marketing-context.md
Ensure that you have WebFetch capabilities or screenshot browser tools enabled so the agent can scrape live app listings and visually inspect your graphics. If live scraping is blocked, you can paste the listing raw text and upload screenshots directly to the agent chat.
App Store Optimization (ASO) Audit Data Schema & Taxonomy
This skill structures audits utilizing a standardized weight schema and evaluation matrices. Below is how the evaluation criteria and brand tiers are structured:
Scoring Weight Matrix
| Dimension | Weight | Primary Audit Scope |
|---|---|---|
| Title & Subtitle | 20% | Character usage limits (30 chars), keyword optimization, and brand balance. |
| Visual Assets | 25% | Screenshot count, quality, caption layout, preview videos, and feature graphics. |
| Ratings & Reviews | 20% | Average score thresholds, volume, recency, and developer responses. |
| Description | 15% | First 3 lines hook, keyword density (Google Play), CTAs, and promotional copy. |
| Metadata & Freshness | 10% | Category alignment, localization completeness, and update frequency. |
| Conversion Signals | 10% | Price, in-app purchase (IAP) transparency, social proof, and download volume. |
Brand Maturity Classification
- Dominant: Household brand name, 1M+ ratings, top-10 in category. Focuses strictly on conversion optimization and brand positioning over keyword density.
- Established: Highly recognizable in category, 100K+ ratings, strong organic downloads. Flexible scoring on title structures and generic search elements.
- Challenger: Startups, indie apps, and apps under 100K ratings. Evaluated strictly against rigorous textbook ASO guidelines to maximize discovery search signals.
App Store Optimization (ASO) Audit Advanced Features
- Platform-Specific Index Parsing: Automatically handles technical differences, identifying byte-limitations for Apple (100-byte keyword field) and keyword-density tracking (2-3% on Google Play) to prevent algorithmic keyword-stuffing penalties.
- Dynamic Brand Maturity Adjustments: Tailors scoring rules dynamically based on whether your app is a household name or a market challenger, avoiding false positives on brand-led product listings.
- Competitor Gap Discovery: Compares competitor metadata directly against yours to highlight untargeted high-traffic search terms.
- Automated Visual Asset Analysis: Simulates user screen sizes and assesses visual screenshot hierarchy, caption styling, and preview video performance signals.
- Marketing Context Integration: Syncs seamlessly with
.agents/product-marketing-context.mdfiles to ensure listing suggestions align with target demographics, market positioning, and brand voice guidelines.
SKILL.md
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