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Multi-agentProduct Development & LaunchAdvancedFree

App Store Optimization (ASO) System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready app store optimization (aso) system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryProduct Development & Launch
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Keyword Research Agent
· 02 ·
App Store Listing Optimizer
· 03 ·
Visual Asset Strategist
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{app_name}}
App name
App name
App Store Optimization (ASO) System example context
{{app_category}}
App category
App category
App Store Optimization (ASO) System example context
{{primary_user_problem_solved}}
Primary user problem solved
Primary user problem solved
beginner AI users
{{top_3_competitor_apps}}
Top 3 competitor apps
Top 3 competitor apps
top 3 competing prompt-library websites
THE AGENTS

The 3-step sequence.

01
AGENT · KEYWORD RESEARCH

Keyword Research Agent

GOAL OF THIS STEP

Conduct ASO keyword research. Identify: 5 primary keywords (high volume, directly relevant), 10 secondary keywords (medium volume, specific use cases), 5 long-tail keywords (low competition, high intent), and 5 keywords the top competitors rank for that you don't. For each keyword: estimate search volume (High/Medium/Low) and competition level. Build the keyword priority matrix: top 15 keywords to target.

EXPECTED OUTPUT

Keyword matrix: 15 prioritized keywords with volume, competition, and targeting rationale

agent-01-keyword-research-agent.md
### Input
App name, category, problem, competitors

### Task
Conduct ASO keyword research. Identify: 5 primary keywords (high volume, directly relevant), 10 secondary keywords (medium volume, specific use cases), 5 long-tail keywords (low competition, high intent), and 5 keywords the top competitors rank for that you don't. For each keyword: estimate search volume (High/Medium/Low) and competition level. Build the keyword priority matrix: top 15 keywords to target.

### Output
Keyword matrix: 15 prioritized keywords with volume, competition, and targeting rationale
02
AGENT · APP STORE

App Store Listing Optimizer

03
AGENT · VISUAL ASSET

Visual Asset Strategist

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Keyword Research Agent

Keyword matrix: 15 prioritized keywords with volume, competition, and targeting rationale

App Store Listing Optimizer

Optimized listing: app name + subtitle + 3-line hook + full description + keyword field (100 chars)

Visual Asset Strategist

Screenshot strategy (5 screens with captions) + preview video structure (30 sec) + icon design direction + competitor benchmark

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