ASOScan VS App Availability

ASOScan's answer

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.

ASOScan's answer

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's answer

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's answer

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's answer

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.