Select optimal app store category for ranking
category-positioningskillsetup L2★1,242
Eronred/aso-skills ↗Causal-lift measurements
aso-audit-36pp vs no-skill baselinewith-skill 32% · baseline 68%
Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.
What it does
Select optimal app store category to maximize ranking potential
Best for
Apps in expansion phase or stuck in wrong category; category change is rare disruption but can unlock featuring and chart visibility.
Inputs
- · app functionality (1-sentence description)
- · current category (if applicable)
- · ranking goal (top 100 / top 10 / chart position)
- · time in current category
Outputs
- · recommended primary category
- · recommended secondary category (iOS) or tags (Android)
- · competitive density assessment
- · ranking feasibility estimate (6-month timeline)
Requires
- · Appeeky API (competitive density, #1 download benchmarks)
Preconditions
- · app-marketing-context.md exists
- · App honestly fits the proposed category (Apple rejects misrepresentation)
Failure modes
- · Choosing aspirational category too competitive to rank in 6mo
- · Mismatch between category browsers and app's actual users
- · Switching categories frequently (resets some ranking signals)
- · Ignores editorial curation activity (Health & Fitness = active; Utilities = quiet)
Trust signals
- · Games subcategories list (explicit Apple structure)
- · 5-factor trade-off matrix (truth fit, density, top app strength, DLs to #1, audience match)
- · Health & Fitness vs Lifestyle trade-off example (concrete decision-making)
- · Notes category matters for featuring (editorial curates per category)