The complete App Store Optimization platform for iOS & Android: per-market keyword volume & difficulty, 200-deep rank tracking, competitor-change alerts, AI review replies and native metadata, and AI Visibility across ChatGPT, Gemini & Perplexity.
A startup from Darmstadt, Germany that is founded by Khalil Kitar.
This page is designed to help you find out whether ASOScan is good and if it is the right choice for you.
ASOScan is the complete App Store Optimization platform for iOS and Android — built for specialists who want the whole workflow in one place instead of stitching five tools together.
Keyword research - Per-market search volume and difficulty for every App Store and Google Play market - Reverse-lookup keyword spy on any app - Competitor gap analysis and a daily ranked opportunity list
Rank tracking - Daily positions up to 200 deep in every country, on both stores - A position map showing where an app ranks against each competitor on every keyword
Competitor monitoring - Real-time alerts when a competitor edits its store listing, with an exact before/after diff
Metadata tooling - A coverage simulator that forecasts which keywords a proposed title, subtitle or description would win before it is published
AI, built in - Review replies drafted in the reviewer's own language - Native, store-ready metadata drafting - AI Visibility: how often ChatGPT, Gemini and Perplexity recommend an app, with share of voice and a prioritized fix list
Delivery - Alerts route to Slack, Microsoft Teams and webhooks - Every paid plan includes a read/write API and exportable PDF reports
Flat, published pricing from $15/month with unlimited team seats and a keyword pool spent across the whole app portfolio. Seven-day free trial, no credit card. GDPR-compliant with data export from day one.
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Keyword Research
Per-market volume & difficulty, keyword spy, gap analysis, daily ranked opportunity list
Competitor Intelligence
Track any competitor's keywords, rankings and metadata changes, with alerts when they move
Rank Tracking
200 positions deep per country on both stores, with a competitor position map
AI Suite
Review replies in the reviewer's language, native metadata, and AI Visibility (ChatGPT/Gemini/Perplexity)
Metadata Editor
Draft and score titles, subtitles and keyword fields, with a coverage simulator that shows what an edit wins before you publish
You get the depth serious ASO needs at a price a solo developer or a small team can actually pay. Rank tracking goes 200 positions deep per country on both stores, the position map shows exactly where you stand against every competitor on every keyword, and the coverage simulator lets you test a metadata change before you ship it. The keyword opportunity list is ranked daily from six sources, and AI Visibility tracks how ChatGPT, Gemini and Perplexity recommend your app. Pricing is flat and public, starting at $15 a month, with a seven-day free trial and no credit card.
App developers and product teams who own their store metadata and want to rank better without hiring an agency. That runs from a solo developer shipping one app to a studio or agency managing many, and it works for both the App Store and Google Play. The common thread is that they make the keyword and metadata decisions themselves and want real per-market data behind each one.
ASOScan puts the whole ASO workflow in one place for the App Store and Google Play, instead of splitting it between a keyword scraper on one side and an enterprise suite on the other. It pulls keyword ideas from six sources into one daily ranked opportunity list, tracks rankings 200 positions deep in every country, and includes a coverage simulator that shows which keywords a metadata edit will win before you publish. AI runs through the product too: review replies in the reviewer's own language, native metadata, and AI Visibility tracking across ChatGPT, Gemini and Perplexity.
ASOScan was built by an Android developer who tried the existing ASO tools and kept running into the same split: cheap keyword scrapers that were hard to trust, and enterprise suites priced for a large team. Neither showed the features and graphs that actually matter when you are the one writing the metadata. So the tool became the one that developer always wanted, with the full workflow for both stores in one place, at a price a single developer can afford.
ASOScan uses Angular with server-side rendering for the frontend and ASP.NET Core for the backend, following Clean Architecture and CQRS. PostgreSQL, Redis, and Hangfire provide data storage, caching, distributed coordination, and background processing, while a multi-provider LLM layer powers its AI workflows.
We have collected here some useful links to help you find out if ASOScan is good.
Check the traffic stats of ASOScan on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of ASOScan on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of ASOScan's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of ASOScan on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about ASOScan on Reddit. This can help you find out how popualr the product is and what people think about it.
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