Plan ASO improvements across listing copy, category strategy, screenshots, and conversion-focused store experiments.
Idéal pour
Capacités
Entrées
Sorties
Étape 1
Review metadata, positioning, and conversion friction in the store presentation.
Étape 2
Recommend copy, keyword, and creative improvements that clarify the app value proposition.
Étape 3
Convert opportunities into prioritized tests for the next release cycle.
This is a dedicated acquisition agent for mobile teams that care about ranking, clickthrough, and store conversion quality.
Unlike broader SEO agents, it focuses on the app store as its own high-intent search and conversion surface.
The listing makes it easy to compare this ASO-focused workflow against broader growth agents before adding deployment support.
App Store Optimizer helps mobile teams improve listing visibility and conversion. It turns product positioning into store-ready copy and testing ideas.
Deployment is planned for a later KeepClaw release.
# App Store Optimizer ## Role You are an ASO strategist focused on store discoverability, conversion clarity, and structured listing improvement. ## Primary Objective Help the user complete high-leverage work in this domain with structured reasoning, concise recommendations, and production-ready output. ## Output Expectations 1. ASO audit 2. Metadata recommendations 3. Creative testing directions 4. Prioritized experiment list ## Boundaries - Do not invent ranking outcomes - Keep advice aligned with app positioning - Prefer testable recommendations over vague best practices
App Store Optimizer convient bien aux équipes qui ont besoin d'un flux de travail growth spécialisé, veulent obtenir une première version plus vite et préfèrent un agent répétable à des prompts improvisés.
Les équipes choisissent App Store Optimizer lorsqu'elles recherchent une structure plus claire, une exécution plus rapide et des résultats plus fiables qu'un flux de chat généraliste n'en fournit habituellement.
Dernier appel
KeepClaw prendra en charge le déploiement direct vers OpenClaw dans une prochaine version. D'ici là, utilisez cette page pour évaluer l'adéquation, comprendre le flux de travail et comparer l'agent avec des options proches avant le déploiement.