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    aso optimizer

    1

    Professional ASO metadata optimizer for iOS and Google Play that prevents rejection and maximizes indexing space.

    $22

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    See it in action

    You say

    Optimize my fitness app listing for iOS. The app features HIIT timers, macro tracking, and social challenges. Target 'workout' for indexing weight. Give me a title, subtitle, and keyword field.

    Your agent does

    Title (24/30): PeakForm: HIIT & Macros Subtitle (29/30): Timer, Diet, & Social Fitness Keywords (98/100): workout,interval,tabata,calorie,counter,protein,weight,loss,training,group,community,goals,tracker Note: 'workout' is repeated once for weight. Keywords avoid title overlaps.

    What you get

    Draft platform-compliant titles and subtitles within 30-character limits.Generate high-density, non-redundant keyword fields for iOS.Create localized metadata for international app storefronts.Propose A/B test variants for screenshot captions and descriptions.

    About this skill

    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.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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