aso optimizer

The problem

Vague App Store guidelines and hidden character counting logic make metadata optimization a guessing game. One miscounted emoji or a single trademarked competitor name in your keyword field can trigger an immediate rejection or silent truncation.

What it does

• Drafts iOS and Google Play metadata within exact platform character budgets.
• Prioritizes keyword fields using non-redundant, feature-traced terms to avoid stuffing flags.
• Calculates precise character counts including visual vs. UTF-16 surrogate pair warnings for emojis and CJK text.
• Generates screenshot copy frameworks and A/B test variants for listing creative.
• Maps per-locale metadata for international storefront expansion.

Why this beats prompting it yourself

General LLMs often fail at character counting, frequently hallucinating lengths or ignoring punctuation impact. This skill uses a strict verification workflow that treats limits as hard constraints and understands the policy distinction between indexing weight and keyword stuffing, preventing common rejection triggers.

Use cases

• Revising an existing iOS listing to improve keyword indexing without repeating title words.
• Drafting Google Play short and long descriptions for a new app launch.
• Localizing metadata for international markets while maintaining character compliance.
• Creating a prioritized, comma-separated keyword list based on actual app features.

Known limitations

Does not provide real-time competitor ranking indices or guaranteed ranking improvements. Analysis is based on a point-in-time snapshot of the store.