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How to pick new storefronts to launch an app in with Asobeast

Let AsoBeast suggest markets that read your listing languages and seed them with your keywords.

Who it is forA developer or small studio deciding which countries to expand into and how much a new market costs to track.

The problemChoosing storefronts by guesswork wastes effort on markets whose language the listing does not ship in.

The outcomeA short list of storefronts that read your listing languages, with the daily request cost, and a seeded keyword list for the market you pick.

What you need first

  • Docker with Compose, roughly 2 GB of memory and 5 GB of disk
  • A browser such as Chrome or Firefox for the local sign in (Safari does not keep the session cookie over plain HTTP)
  • A store URL for the app you want to track
  • An MCP-capable agent such as Claude Code, Cursor or Gemini CLI, for the agent use cases

Steps

  1. Import the App Store or Google Play URL of the app.
  2. Open market suggestions to see the storefronts that read the languages the listing ships.
  3. Review the daily request cost shown for each suggested storefront.
  4. Choose a market to seed it with the keywords of your own listing.

Prompt for your agent

Using AsoBeast from https://github.com/AsoBeast/asobeast, list the storefront suggestions for <app-name> with the daily request cost for each. Return the top three markets and verify the suggested storefronts match the languages your listing ships.

Caveat. Suggestions depend on the languages the listing already ships, so a market that needs new localized metadata will still require that work.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for AsoBeast/asobeast and "Pick new storefronts to launch an app in"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

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