How Appnalysis works

Appnalysis turns raw mobile app signals into decision-ready evidence. Data is collected across iOS and Android, normalised into a structured schema, interpreted against category and market context, then delivered as an answer, an export, or an MCP tool call.

Four stages

  • Collect: store metadata, technology and SDK signals, monetisation and accessibility markers across the top 100 apps in every market.
  • Normalise: signals mapped into a consistent schema so cross-platform, cross-market comparisons are apples-to-apples.
  • Interpret: each signal comes with the reasoning behind it, what it implies for a roadmap, pitch, architecture, copycat, or compliance decision.
  • Deliver: consume the same evidence at /ask, as an Excel or Looker Studio export, or as a tool call from ChatGPT, Claude, Cursor, and other MCP clients.

Grounded, cited, comparable

Every answer cites the underlying apps and signals. Nothing is hallucinated, nothing is opinion-only, and every export is repeatable.

Explore Appnalysis

  • The Appnalysis product
  • What you get from Appnalysis
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  • Plans and capabilities
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