asokit
Browser-first ASO research

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.

See the angle
109
App Store markets
100
keywords per batch
0
downloads required
256 keywordsResearching United States🇺🇸 United StatesSpy on a competitorFilter
KeywordPopDiffAppsAdded
habit tracker67382482m
sleep sounds667125014m
mood tracker536024726m
budget planner51422461h
meal planner48642493h
daily planner47682485h
gratitude journal34282431d
water reminder29242312d
USUnited States67 pop / 38 diff
GBUnited Kingdom58 pop / 31 diff
BRBrazil33 pop / 19 diff

Apple Search Ads demand, difficulty scoring, and country-by-country keyword context.

Built for the metadata decisions that happen before rank tracking.
Why it wins

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.

Opportunity mappopularity x difficulty
higher popularitylower difficultybudget plannerGB / 51 / 42gratitude journalAU / 34 / 28meal plannerUS / 48 / 64sleep soundsCA / 66 / 71
Input100 terms

Batch a full metadata draft instead of checking ideas one by one.

Coverage109 stores

The same list can move across every supported App Store market.

Outputpop + diff

Demand and ranking pressure sit together, so weak bets are easier to cut.

Competitor teardown

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.

Finch: Self-Care PetDaily Journal & Habit Tracker108 keywords
KeywordPopDiff
finch6861
habit tracker6767
how we feel5755
mental health5573
daylio5567
No app required

You do not have to publish, or even name, an app of your own to read someone else's.

Straight from the rankings

Open any keyword, then use the eye on a competing app to read its full set.

Names and subtitles too

Every app in a ranking list shows the 30 characters it chose to compete on.

Workflow

From raw ideas to a ranked shortlist.

01

Paste the messy list

Names, subtitles, competitor ideas, review language, and raw Search Ads terms can land in the same batch.

02

Move through markets

Run the same terms in your main storefront, then jump to secondary countries when a keyword looks blocked.

03

Ship the reachable set

Keep the terms with demand and a realistic path into the ranking set. Leave the vanity keywords out.

Positioning

Browser speed against desktop-heavy ASO tools.

Decision pointDesktop ASO toolsASOKit
First actionInstall, create a tracked app, then configure storesPaste keywords and read the market immediately
Best useOngoing rank tracking after you already know the listFast keyword discovery before the next metadata update
Market viewCountry switching is usually a secondary workflow109 storefronts are part of the core research loop
Team accessTied to a Mac workflowRuns in the browser with a saved workspace
FAQ

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.

Ready when the keyword list is messy.

Score the terms before they reach your next App Store update.