✦ Pricing
ASO tool
Keyword Difficulty Score
Model competition for an App Store keyword from observed search-result and competitor signals.
- Best for
- Teams prioritizing candidate keywords
- Access
- Full Access
Start an analysis
Enter a keyword and storefront. The run prepares metadata, checks Apple Search competitors, calculates modeled components and saves the result.
- Difficulty is modeled, not an official Apple metric.
- The same term can differ by country.
- Compare difficulty with relevance and current rank.
Interpret the score
A lower score can indicate less observed competition, but it does not guarantee traffic or conversion. Review the competitor table and evidence date.
- Use score bands for prioritization, not certainty.
- Inspect top competitors and rating depth.
- Validate chosen terms with a rank check.
Data statuses
Results identify how their underlying data was produced. Always read the source and update time before making a decision.
- Live: returned by the source during the current request.
- Observed: public source data stored with an observation time.
- Cached: a previous source response shown when live collection is limited.
- Estimated: a modeled score or range, not private Apple-reported performance.
- Exact: authorized first-party data only.
- Beta: provider-dependent coverage that may be incomplete.
Partial and failed runs
Individual Apple queries may use cache or remain unavailable without invalidating every saved component.
- Using cached data is displayed as a source state.
- A queued retry should be allowed to complete.
- No source data means the score should not be treated as current.