app-store-optimization

Name: app-store-optimization
Availability: InStock
Author: Manoj Bajaj

Optimize mobile app listings on Apple App Store and Google Play Store.

83|26|Updated Feb 11, 2026

Search Tags:#app store optimization #keyword research #aso #app analytics #app marketing #app store seo

Ready to run

npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill app-store-optimization-manojbajaj95

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: app-store-optimization
Source: https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/plugins/analytics/skills/app-store-optimization
Command: npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill app-store-optimization-manojbajaj95

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you optimize your app's presence on the App Store and Google Play Store, increasing its visibility, improving search rankings, and driving more downloads.

Core Features & Use Cases

Keyword Research: Discover high-impact keywords for your app.
Metadata Optimization: Craft compelling titles, descriptions, and keyword lists.
Competitor Analysis: Understand what your competitors are doing well.
Launch Planning: Prepare for a successful app launch or update.
Use Case: You've just launched a new productivity app and want to ensure it ranks well for relevant searches. Use this Skill to find the best keywords, optimize your app title and description, and plan your launch strategy.

Quick Start

Use the app-store-optimization skill to research keywords for my new productivity app.

Frequently Asked Questions about app-store-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I do app store optimization for both Apple App Store and Google Play Store listings?▼

App store optimization involves refining titles, descriptions, and keyword lists for both stores. It uses Python scripts to analyze competitor data and generate strategies that improve search rankings and drive downloads.

What is the best way to research keywords for my mobile app marketing strategy?▼

Keyword research for app marketing involves discovering high-impact search terms to target. By using Python data analysis scripts, you can identify optimal keywords to include in your app title and description metadata.

Can I analyze competitor app store listings to improve my own app visibility?▼

Yes, competitor analysis evaluates rival app store listings to identify successful strategies. This insight informs your metadata optimization and keyword targeting, directly helping to boost your app's relative visibility.

Does this app store SEO approach work for planning a new mobile app launch?▼

Yes, app store SEO supports launch planning by preparing optimized metadata and keyword strategies beforehand. This ensures your new application ranks well for relevant searches immediately upon release.

Do I need Python to perform ASO scoring and metadata refinement?▼

Python is required for automated ASO scoring and metadata refinement because the process uses Python scripts for data analysis. These scripts process app data to calculate scores and generate optimization strategies.

Why does app store SEO require competitor analysis and ASO scoring?▼

App store SEO requires competitor analysis and ASO scoring to quantify your listing's strengths against rivals. This data-driven approach identifies exact metadata gaps to fix, ensuring higher search visibility.