aso.best is keyword research for App Store and Google Play developers, built on the stores' own numbers instead of modelled "search volume". Paste any competitor and in two minutes you see every phrase it ranks for, the popularity score Apple gives advertisers, first-page difficulty, and which phrases sit in its hidden keyword field.
Follow your own apps and get positions, ratings and new reviews every morning. Then put the winning phrases straight into App Store Connect: name, subtitle and keyword field, edited per language with Apple's character counters. An assistant with 19 tools does all of this from a chat, and the same tools run as an MCP server inside Claude, Cursor and ChatGPT, free on every plan.
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9Instant fair coin flip & random tools
Congrats on the launch! Mobile-first utility tools are always needed, and your positioning looks solid
I would definitely recommend this product to anyone looking for something practical and reliable. It offers a great combination of quality, convenience, and functionality. Overall, I think it's worth considering, and I would happily recommend it to others.
Building keyword research on the stores' own popularity numbers instead of modelled search volume is a smart angle. Being able to paste a competitor and see every phrase it ranks for looks really useful for indie developers.
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Pulling every phrase a competitor ranks for from the stores' own numbers, with Apple's advertiser popularity and first-page difficulty in about two minutes, is properly useful keyword research. If you ever want to try AI on other parts of the business, take a look at PZERO on pzero.studio.
Building keyword research on the stores' own popularity numbers instead of modelled search volume is a smart angle. The per-language character counters for App Store Connect are a nice touch — that is where most ASO edits quietly break.
ASO.best's "App Store and Google Play ASO from one chat" is exactly the kind of workflow a small app team needs. Top Dukaan is an Android app for Indian shopkeepers (Play Store: com.dukaanposter.app), and for us the ASO bottleneck isn't keyword research in English — it's ranking in Hindi, Tamil, Telugu, Bengali and the other 12 Indian languages we ship in, plus keeping listings consistent across multiple country/region variants. A chat that can suggest localized title/subtitle combos and spot keyword cannibalisation between language targets would save a lot of trial-and-error. Curious: does ASO.best handle multi-language / multi-region listings (e.g., separate Hindi + English titles for in), or is it tuned to a single-language listing at launch?
ASO.best looks like a valuable tool for app developers who want to turn keyword research into real App Store and Google Play growth! 🚀 At AI Dev Planner (https://aidevplanner.com/), we appreciate solutions that combine data-driven insights with practical execution. Using actual store popularity data, competitor keyword analysis, and multilingual listing optimization in one chat is a great approach to making ASO more efficient. Congrats on the launch!
Just curious as to how you are getting the stats, must be some compliance involved.
The MCP server is what caught my eye: I spend most of my day in Claude Desktop, so pulling competitor keywords without switching tools is great. I'm curious how you work out what's in a competitor's hidden keyword field, since Apple doesn't publish it. Is it inferred from phrases they rank for that aren't in the name or subtitle? And how close has that been when you've checked it against apps whose real keyword field you know?