audit

One-call ASO research bundle for an app, per storefront: the current listing (title + web-scraped subtitle), its visible word pool, keyword candidates discovered from App Store autocomplete seeded with that pool (plus any supplied phrases), and for every candidate a demand number (popularity, as in the volume tool — real Apple Search Ads popularity when popularitySource is "apple", else an estimate), competition, incumbent strength (medianTopRatings) and this app's current rank — each candidate scored from a single shared search. Feed the result into coverage ({phrase, value: popularity} weights) to draft metadata, confirm real positions with rank, and register the target set with track for daily movement; the optimize_metadata prompt packages the whole playbook. Costs one lookup, one listing scrape, one autocomplete request per seed and one search plus up to 3 autocomplete probes per candidate, all throttled ~1/s — expect roughly seeds + 4 x candidates seconds per storefront; progress notifications are sent when requested. Discovery is autocomplete-only: mine reviews for user vocabulary and competitors for who wins each phrase.

{
  "name": "audit",
  "arguments": {
    "appId": 6446901002
  }
}