Batch a full metadata draft instead of checking ideas one by one.
Find App Store keywords before your competitors do.
ASOKit turns raw keyword ideas into a usable metadata shortlist with Apple Search Ads popularity, ranking difficulty, and storefront context in one workspace.
- 109
- App Store markets
- 100
- keywords per batch
- 0
- downloads required
Apple Search Ads demand, difficulty scoring, and country-by-country keyword context.
Built for the metadata decisions that happen before rank tracking.A leaner research loop for serious ASO work.
ASOKit should win the first research session: no install friction, no heavy suite, just the numbers that decide what goes into App Store metadata.
The same list can move across every supported App Store market.
Demand and ranking pressure sit together, so weak bets are easier to cut.
Read the keyword set behind any app in the chart.
Paste a competitor's App Store link and get the keywords they show up for, each with its own popularity and difficulty. Take the ones worth having straight into your list.
You do not have to publish, or even name, an app of your own to read someone else's.
Open any keyword, then use the eye on a competing app to read its full set.
Every app in a ranking list shows the 30 characters it chose to compete on.
From raw ideas to a ranked shortlist.
Paste the messy list
Names, subtitles, competitor ideas, review language, and raw Search Ads terms can land in the same batch.
Move through markets
Run the same terms in your main storefront, then jump to secondary countries when a keyword looks blocked.
Ship the reachable set
Keep the terms with demand and a realistic path into the ranking set. Leave the vanity keywords out.
Browser speed against desktop-heavy ASO tools.
Questions worth answering upfront.
ASOKit is built for the research pass before tracking. Open it in the browser, paste a keyword batch, switch storefronts, and decide which terms are worth testing.