App Store
App Store Keyword Research
Find terms that describe the problem your iOS app solves, then turn them into a focused title, subtitle and keyword-field plan instead of an unprioritized keyword list.
Use your connected store dataWhat the analysis provides
- Keyword themes grouped by user intent
- Placement plan for title, subtitle and keyword field
- Impressions, product page views and downloads from connected App Store reports
- Recent-period comparison without estimated search-volume claims
What the analysis provides
Use the workflow to produce a defensible keyword set, then use connected App Store data to see whether discovery and conversion moved after release.
How to use it
- 1
Write down the task or problem that brings a user to your app.
- 2
Collect close variants, category language and competitor positioning without copying brand terms.
- 3
Assign only the most relevant phrases to App Store metadata fields.
- 4
Publish one controlled change and compare impressions, page views and downloads after Apple has processed enough data.
Why this matters
Apple gives each metadata field a different role and limited space. A deliberate keyword map reduces cannibalization, keeps the listing readable and makes the impact of a release easier to interpret.
Frequently asked questions
What is App Store keyword research?
It is the process of finding phrases potential users use, matching them to your app and deciding where they belong in App Store metadata.
Does Appnaly show estimated keyword search volume?
No. Appnaly avoids unverifiable volume estimates and uses connected App Store performance data to evaluate published changes.
How often should App Store keywords change?
Change them when positioning or demand changes, and leave enough time after each release to compare complete reporting periods.
Turn the next store update into a measurable decision
Connect your store reports, make one focused change and compare observed outcomes instead of relying on invented scores.