Search demand map
A structured universe of themes, terms, intent, relevance, and competitive context.
Keyword intelligence
Keyword research connects the language customers use with the problems your product genuinely solves, then translates that evidence into metadata priorities.
In one sentence
App store keyword research identifies relevant search terms, estimates their strategic value, and maps them to metadata, creative messaging, and measurement.
Why it matters
What you get
A structured universe of themes, terms, intent, relevance, and competitive context.
Recommendations for the fields and messaging that should carry the highest-priority terms.
A transparent scoring approach that makes prioritization explainable to the wider team.
A baseline, reporting cadence, and set of signals for understanding what changed.
How it works
Clarify audience, use cases, differentiation, geography, and the job the app performs.
Combine store suggestions, competitor language, category patterns, user language, and existing performance.
Evaluate relevance, intent, difficulty, current coverage, and strategic value.
Map the strongest opportunities to metadata, creative messaging, and a measurement plan.
Questions, answered
A valuable keyword balances relevance, user intent, discoverability potential, and the app’s ability to convert the resulting traffic. Search volume alone is not a strategy.
No. The stores expose different metadata fields and ranking signals, so the research foundation can be shared but implementation should be store-specific.
Refresh when the product, category, seasonality, geography, or competitive set changes, and review performance on a regular cadence so the strategy learns from actual results.
Start with clarity
A focused audit connects the opportunity to an executable plan.
Share your app's store link, the markets you care about and the main question you're trying to answer. No logins or reports needed.