Know which App Store searches you rank for, and which ones are worth it.
Apptiller starts from the keywords you already chose, tracks your rank for each search every day, and shows who holds the top spot and how hard it would be to get in.
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| Search | Your rank | #1 now | Difficulty | Fits the app |
|---|---|---|---|---|
| meal planner | 38 | Competitor A | Hard | Fits |
| healthy recipes | 12 | Competitor B | Contested | Fits |
| weekly meal plan | 4 | Competitor A | Open | Fits |
Example. Names and numbers are illustrative.
It starts from the keywords you already chose
Every locale of your app has a 100-character keyword field in App Store Connect. Most tools ask you to type your keywords in again. Apptiller reads those fields with your App Store Connect key, in every locale, and starts tracking their terms in the storefronts that read them. A Turkish keyword field is tracked in Turkey, and the US store reads more locales than English alone, so its terms come from all of them.
If you change a keyword field in App Store Connect, Apptiller picks that up the next morning. Terms you dropped stay dropped, and terms already tracked keep their history.
Then it finds the searches you are missing
Apptiller builds a list of candidates from where people already look: your listing, the Google searches that reach your website, the questions people ask AI about apps like yours, and your Apple Ads keywords if you run ads. Where Apple Ads is connected, it also adds Apple's own related ideas.
A model then judges whether each term fits your app, three times over, and tells you why. A term that does not fit is one to leave out of your listing. It is also a likely negative keyword if you run ads.
What you see for each search
- Your rank as a 7-day median against the 7 days before, so one odd day does not look like a change
- Who holds #1 today
- How hard the search is, read from the ratings the top 10 apps hold
- Whether it fits the app, with the reason
- Where the term came from: your keyword field, your listing, Google, AI questions or Apple Ads
- What Apple Ads measured for that exact search, if your ads showed on it, and Apple's popularity score
Why a median and not a daily number
App Store ranks move around from day to day without anything changing on your side. If you read every daily number you end up reacting to noise. A 7-day median smooths that out, and comparing it with the week before shows whether something really moved. Apptiller only raises a change as news when it is bigger than the usual day-to-day movement for that app.
What it can't tell you
Nobody outside Apple knows how many organic impressions each search term brings. Apple gives one total for all of App Store search, and per-term numbers only for your ads. Apptiller shows that total next to the tracked terms that moved in the same days and labels the link as a likely cause, not proof. Any tool that claims exact organic impressions per keyword is estimating.
From a keyword to a change
A rank is only useful if it leads somewhere. When a search that fits your app is missing from your title, subtitle or keyword field, Apptiller drafts the change and puts it in To review with the evidence behind it. You see the text before and after, and nothing goes to App Store Connect until you approve it. See how that works on the App Store optimization page.
A worked example
Say you make a meal planner. Your keyword field holds "recipes, meals, diet", and your subtitle says "Weekly meal plan". On your first day Apptiller reads that field, finds that people reaching your website search for "meal planner for two", and sees that AI answers keep being asked about budget meal plans. It ranks each of those.
A week later the board shows you are #4 for "weekly meal plan", #12 for "healthy recipes" and outside the top 100 for "meal planner", which the top apps all hold in their subtitles. "Healthy recipes" is contested and "meal planner" is hard, but "meal planner for two" is open: the apps above you there have few ratings. That is the term worth your next 15 characters, and it is the one Apptiller proposes.
How to choose which searches to chase
Rank alone is a poor guide. A #3 on a search nobody types brings nothing, and a #40 on a search your whole category depends on may be out of reach for a new app. Look for three things together: the term fits what your app does, the top 10 is not full of apps with tens of thousands of ratings, and people actually type it. Apple's popularity score helps with the last one where Apple Ads is connected.
Start narrow. Winning several specific searches usually brings more downloads in your first year than sitting at #60 for one broad word. As your ratings grow, the harder terms come within reach, and because your history is kept, you can see that happen.
Getting started
Paste your App Store link. Apptiller reads public data and shows the searches that fit, with your rank for each, in a few minutes. Add an App Store Connect key with the App Manager role when you want your own keyword fields read in every locale.
Questions
How many keywords can I track?
Solo tracks 15 search terms in one storefront per app. Pro and Studio track 25 terms in up to three storefronts per app. On Free, your five best-fitting terms are ranked once a week.
Do I need an App Store Connect key?
To read your keyword fields, yes: a key with the App Manager role. Without one, Apptiller still finds and ranks searches from public data, and you can add terms by hand.
Can I track competitors' keywords?
You see who holds #1 for every term you track, and the top apps for it. Apptiller does not read a competitor's private keyword field, because nobody can.
App Store optimization
Listing changes drafted from your data, written when you approve, then measured and undoable.
App Store analytics
Where downloads come from: sources, referrers and product pages, with history Apple deletes.
AI visibility
What ChatGPT and Google's AI recommend for your category, daily, and which pages they cite.
See how people find your app.
Search for it and see who beats it, free. Sign up for one full check: exact ranks, what ChatGPT names and a subtitle to try.
Questions: hello@apptiller.com