Plan ASO improvements across listing copy, category strategy, screenshots, and conversion-focused store experiments.
Ideal para
Capacidades
Entradas
Saídas
Step 1
Review metadata, positioning, and conversion friction in the store presentation.
Step 2
Recommend copy, keyword, and creative improvements that clarify the app value proposition.
Step 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 is a strong fit for teams that need a specialized growth workflow, want faster first-pass output, and prefer a repeatable agent over ad hoc prompting.
Teams choose App Store Optimizer when they want clearer structure, faster execution, and more dependable outputs than a general-purpose chat flow usually provides.
Encerramento
KeepClaw will support direct OpenClaw deployment in a later release. For now, use this page to evaluate fit, understand the workflow, and compare it with related agents before rollout.