Appman AI

Your AI agent, now fluent in App Store & Google Play

One MCP install turns Claude Code, Cursor, or ChatGPT into an ASO analyst with real store data. Ask in chat — it pulls keyword ideas, rank history, and competitor gaps for you.

# one click above, or add it by hand:Settings → Connectors → Add customhttps://appmanai.com/api/mcp# sign in, click Allow — no install

Habit Tracker InnerGrow

• Claude Code
• Cursor
• ChatGPT
• Claude Desktop
• VS Code
• Codex
• Gemini CLI
• Any MCP client

The data your agent gets access to

6M+

Apps tracked

15M+

Keywords indexed

100+

Countries & locales

Daily

Fresh crawl data

// The Problem

Your AI is a brilliant analyst with no data

Ask it for search volumes and you get a confident, beautifully formatted table. Every number in it is made up. AppmanAi gives it real store data.

Without MCP

• Invented volumes and difficulty scores
• No idea where you actually rank
• Guesses about competitors
• Confident answers you can't ship

With AppmanAi MCP

• Real search data from both stores
• Daily rank history, both stores
• The exact keywords they rank for
• Numbers you can put in a client report

// How It Works

Three steps. About two minutes.

One link in your agent's settings. No install, no code.

1. 01

   Connect

   Add AppmanAi to Claude, ChatGPT, Cursor or Codex. Sign in once, and you're done.
2. 02

   Ask

   Ask in plain words: “Find keywords my app can rank for in Brazil”
3. 03

   Act

   Get real data and ready analysis: keyword shortlists, competitor gaps, metadata drafts. Paste it into App Store Connect, Google Play Console or a client deck.

// Data Catalog

Everything your agent can pull

Six layers of App Store and Google Play data behind one connector. Your agent picks the tool; you pay only for the calls it makes.

App Intelligence

• App search by name — resolve any app to its store id
• App metadata — the full store listing, for one app or a batch
• Similar apps, as the store itself groups them
• App reviews, with star filters and developer replies App Performance Metrics
• Ratings & star breakdown (current & historical)
• Ratings in every country at once
• Category ranking (current & historical)
• Chart entry rank from a start date — a campaign baseline Keyword Intelligence
• Keyword popularity — SAP score 0–100, one keyword or a list (current)
• Keyword difficulty (current)
• Keyword search results — the apps ranking for it (current)
• Keyword suggestions from a seed — one market or worldwide
• Ranking volatility — one country or worldwide (current & historical)

Keyword-to-App Performance

• Keywords an app ranks for (current)
• Rank by keyword (current & historical)
• Ranks for a whole keyword list at once
• Rank for a keyword in every country Competitor & Market Intelligence
• Competitor keywords — the ones rivals rank for and you don't
• Keyword overlap across a set of apps, rank by rank
• Top charts — free, paid, grossing (current & historical) AI Generation
• Keyword ideas for an app, scored by popularity and current rank
• Store listing copy — title and descriptions — written for your keywords

Plus free lookups for coverage, categories, your balance and usage. Every tool and its credit cost is on the setup page.

// Why AppmanAi

Why teams connect ours

01Transparent, per-request pricing

No seats, no 'contact sales'. Two plans with a published number of credits a month, and every tool's cost listed up front — so you know what a call costs before you make it.

02One connection, both stores

App Store and Google Play through the same tools, in the same shape. Ask a question once and get the answer for both, instead of running two subscriptions and reconciling them by hand.

03Real store data, not model guesses

Every number your agent returns comes from our index of 15M+ keywords across 6M+ apps in 100+ countries. When your agent can't get a figure, it says so — which is the whole point.

04A team that's been doing this since 2015

AppmanAi has been working on app store visibility for a decade. There's a human on the other end of [email protected] who knows what a keyword field is.

// FAQ

Common questions

What is an MCP server, and why do I need one?

MCP (Model Context Protocol) is the standard that lets an AI agent call outside tools. Our MCP server gives your agent a direct line to real App Store and Google Play data — so instead of inventing search volumes, it looks them up.

How much does it cost?

Free to start — 200 credits that never expire plus 100 a month, no card. Base is $20 a month for 1,000 credits a month. No seats, no 'contact sales'. Every tool lists its cost, so you know what a call costs before you make it.

Do I need an AppmanAi account?

Yes — it holds your credits. You create it from your agent: adding the connector opens a sign-in page, you sign up or log in, click Allow, and you’re connected. No API key to copy. New accounts start with free credits, no card.

Which AI agents does it work with?

Claude, ChatGPT, Cursor, and any MCP-compatible client. If your agent speaks MCP, it works.

Where does the data come from, and how current is it?

From our own index of 6M+ apps and 15M+ keywords across 100+ countries, refreshed daily. When a figure isn’t available, the agent tells you instead of guessing.

What if I need data the tools don't cover?

The catalog above covers the data most ASO work runs on. If you need something that isn't there, email [email protected] and a human will help.

Ask your first question in two minutes.

Connect the server, then ask your agent where you rank, what your competitors are winning, and which keywords are actually worth your title space. Every endpoint priced up front — start free, no card.