Sonar//Connect AI

Connect Sonar to your AI

Live App Store data — keywords, rankings, reviews, revenue estimates — inside Claude, Cursor, Codex, or any MCP client. Ask in plain English; your AI calls Sonar and does the analysis.

22 tools — iOS App Store and Google Play, one API key. And on the Full plan, it can set up your tracking for you.

Get your API key

Create a key in Settings → Developers — keys start with aso_. New accounts get 50 free credits on signup, enough to try every tool. No account yet? Start a free trial.

Pick your AI client

Each guide walks you through adding the Sonar MCP server — one command or a short config file, then a first prompt to verify it works.

Claude Code

One shell command — tools load on your next session.

Set up

Claude Desktop

Edit one JSON config file, then restart the app.

Set up

Cursor

Drop a JSON block into mcp.json — global or per-project.

Set up

Codex

One CLI command, or a TOML block in ~/.codex/config.toml.

Set up

Using Cline or another MCP client? Same shape — point the command at npx -y @sonarapp/mcp and pass SONAR_API_KEY in the env. See the full MCP setup guide for version pinning and troubleshooting.

Copy a prompt, get an answer

Once the server is connected, these prompts work as-is — swap in your own app and keywords. Each one tells you exactly what comes back.

Let AI set up your workspace

Full plan

Your AI doesn't just answer questions — it can do the setup. The MCP server ships four write tools that add apps, link competitors, and start rank tracking — they work in every MCP client, including Claude Desktop. Requires the Full plan (your trial counts) and a key created with the write scope.

Add my app and track its top keywords

Research first, then set me up: extract the target keywords from MyFit Habits' iOS US listing and check their difficulty and popularity. Then create a Sonar product for MyFit Habits (iOS, US) and start tracking the 10 best keywords you found.

What you get back: A working Sonar workspace — product created, store listing linked, top 10 keywords tracked with daily rank updates.

Set up competitor tracking

Search the iOS US store for sleep tracker apps, pick the 3 strongest competitors by rating and review count, and add each one as a competitor on my Sonar product so their keywords and rankings get tracked alongside mine.

What you get back: Three competitors tracked — their keyword movements show up next to your app's in the dashboard.

Go cross-store in one step

My Sonar product currently tracks only the iOS version of MyFit Habits. Find the Android version on Google Play, link it to the same product, and start tracking the same keywords there too.

What you get back: iOS and Android side by side in one product, with the same keyword set tracked on both stores.

Beat a competitor

Turn a competitor's listing into your roadmap — find the keywords they own and the money they make.

Keyword gap analysis

Use Sonar to extract the target keywords from my app's listing (MyFit Habits on iOS US) and from Streaks. List every keyword Streaks targets that I don't, pull difficulty and popularity for each, and recommend the 5 best ones to add to my subtitle.

What you get back: A ranked list of competitor keywords you're missing, with difficulty and popularity for each.

Size up the market's revenue

Search “sleep tracker” on the iOS US App Store, take the top 5 results, and estimate monthly revenue for each. What positioning do the top earners share?

What you get back: Revenue estimates with methodology for each app, plus a positioning summary.

Mine reviews for product direction

Thousands of reviews summarized into themes — what users hate, and what they're begging for.

Pain-point mining

Pull the 100 most recent 1- and 2-star reviews of Calm on iOS US. Group the complaints into themes, rank them by frequency, and tell me which ones a new meditation app could turn into a differentiator.

What you get back: A frequency-ranked complaint breakdown with quotes, plus differentiation angles.

Feature-request harvest

Fetch the latest 100 reviews of Habitica on iOS US, extract every feature request, dedupe similar ones, and sort by how often they're mentioned.

What you get back: A deduplicated, frequency-sorted feature wishlist straight from real users.

Audit and fix your listing

An ASO score is just a number — your AI turns it into rewritten metadata you can ship.

ASO audit with a fix list

Run an ASO audit on com.myfit.habits on Android. For every failed check, explain why it matters and write the exact fix — including a rewritten title and short description that stay under the character limits.

What you get back: Your 0–100 score, every failed check, and ready-to-paste replacement metadata.

Data-grounded metadata rewrite

Extract the keywords my listing currently targets (MyFit Habits, iOS US), then research 10 related keywords with difficulty under 40 and popularity above 30. Rewrite my subtitle and keyword field to cover the best ones.

What you get back: A new subtitle and keyword field backed by real difficulty/popularity numbers.

Find winnable keywords

Skip the spreadsheet phase — go from seed term to shortlist in one conversation.

Low-difficulty shortlist

Research “budget planner” on iOS US. Give me every related keyword with difficulty under 35, sorted by popularity, with a one-line reason to target each.

What you get back: A popularity-sorted shortlist of keywords you can actually rank for.

Long-tail from autocomplete

Get App Store autocomplete suggestions for “workout” on iOS US, then pull difficulty and popularity for each. Which long-tail phrases are winnable for a brand-new app?

What you get back: Real autocomplete phrases users type, scored and filtered down to the winnable ones.

Localization candidates

Check difficulty and popularity for “habit tracker” and its local translations in the DE, FR, ES, and JP App Stores. Where is demand high and competition low? Which locale should I localize for first?

What you get back: A per-country demand-vs-competition comparison with a recommended first locale.

Track a launch

Replace the morning dashboard check with one question to your AI.

Launch-week check-in

Look up MyFit Habits on iOS US and report its rating, review count, and category. Then search each of my launch keywords — “habit tracker”, “daily habits”, “routine planner” — and tell me my position in the results for each.

What you get back: Store health plus your live search position for every launch keyword.

Competitor pulse

Look up Streaks, Habitify, and Productive on iOS US. Compare their ratings and review counts, pull each app's 10 newest reviews, and summarize anything that changed — new complaints, version issues, praise for new features.

What you get back: A competitive digest: rating movement and what users are saying right now.

Your AI is ready. Give it the data.

Start a free trial, create an API key in Settings → Developers, and ask your first question two minutes from now.

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