Competitor keyword research
Read every phrase a competitor ranks for in the App Store, including phrases identified in its hidden keyword field, with position, popularity and difficulty information.
aso.best is an app store optimization and keyword research service for the Apple App Store and Google Play. It helps app owners, marketers and agencies research competitor rankings, monitor keywords, localize listings and automate workflows through AI clients or an API.
aso.best is an app store optimization and keyword research service for the Apple App Store and Google Play. It reads store data for competitor apps, including ranking phrases, positions, Apple's popularity and difficulty signals, and phrases identified in a competitor's hidden keyword field.
The service also supports ongoing keyword and app tracking, listing localization, review-reply drafts, alerts and automated access through MCP or a REST API. It is designed for people managing app visibility, researching competitors or running multiple client apps from a shared workspace.
Read every phrase a competitor ranks for in the App Store, including phrases identified in its hidden keyword field, with position, popularity and difficulty information.
Track positions, ratings and reviews for apps on the App Store and Google Play. Keyword drops and one-star reviews can be sent to email, Slack, Discord, Microsoft Teams, Telegram, Google Chat or a webhook, depending on the plan and configured channels.
Inspect Apple's popularity score, first-page difficulty, related queries and opportunity information for individual phrases, and analyze the demand and competition around a niche.
View listing fields by locale, translate App Store and Google Play listing content within store limits, and save supported App Store Connect changes without submitting a version for review.
Generate AI drafts for replies to App Store and Google Play reviews, including drafts in the reviewer's language, then edit and send them from the workflow.
Use the same research tools through an MCP server in supported AI clients or through a REST API. The MCP documentation lists competitor reads, keyword scores, app profiles, visibility, tracking and reporting tools.
Read a rival app, separate visible listing terms from phrases in its hidden keyword field, and compare those opportunities with the phrases your app currently tracks.
Follow an app and monitor positions, ratings and reviews across a recurring schedule so a keyword decline or one-star review can be acted on promptly.
Use the chat to translate titles and subtitles across supported locales, review character counts and save eligible listing fields to App Store Connect or Google Play workflows.
Group followed apps by client, produce branded PDFs or share links, and schedule weekly client reports from the agency-oriented workspace features available on eligible plans.
No. Public App Store apps can be read without connecting your own app. You can follow an app as yours or as a rival when you want ongoing tracking; Google Play support is also available for relevant research and tracking workflows.
The MCP server connects to ChatGPT and Claude by signing in, while Claude Code, Cursor, Codex, VS Code and Windsurf use a bearer token. A REST API is also available on paid plans for scripts and other workflows.
Tracked phrases are read in the store itself. Track reads them once a day, Pro twice a day, and Studio four times a day. A phrase that has not reached the top 50 for a week is checked every third day until it does.
The free plan allows three competitor reads per month, seven tracked keywords and 40 chat credits, with no card required. Paid monthly plans are Track at €6, Pro at €9 and Studio at €29 at the stated launch prices; annual billing is priced at ten months.
Going over a keyword cap does not delete existing keywords or stop the morning read. It prevents adding more until keywords are removed or the plan is changed.
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