App Store Search Ranking Simulator

App Store Optimization lives or dies on one feedback loop: install velocity raises search rank, higher rank raises impression share, and more impressions produce more installs. This simulator makes that loop concrete and mechanically simulated rather than described in the abstract. Tune your listing's keyword relevance, star rating, screenshot/description conversion rate and paid user-acquisition spend, and watch a 3D ladder of ten competing apps reorder itself day by day as each app's weighted rank score — built from the same relevance, velocity, rating and conversion signals real store algorithms are known to weight — is recomputed and impression share is redistributed using a real click-through-by-position curve. Competitor apps drift with small daily noise, so the simulation also shows the flip side: a listing that stops improving slowly loses rank even when nothing about it changed.