This audit was generated on March 11, 2026
The data may no longer be up to date.
How your app performs across different visibility factors
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Start tracking for freeYour app's position for key search terms
10
Keywords analyzed
3
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| runbox | #1 | — | ||||
| ai running coach | #11 | |||||
| chatgpt running | #15 | |||||
| marathon training plan | Not ranked | — | — | |||
| running tracker | Not ranked | — | — | |||
| gps running | Not ranked | — | — | |||
| personalized running | Not ranked | — | — | |||
| ai fitness coach | Not ranked | — | — | |||
| running training app | Not ranked | — | — | |||
| adaptive running plan | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
RunBox ranks #1 for its brand keyword but lacks visibility for high‑traffic generic terms, resulting in a modest 57/100 visibility score. Immediate focus should be on expanding keyword coverage, boosting user ratings, and improving conversion assets to drive installs and chart rankings.
The app ranks #1 for "runbox" with traffic potential of 72 and moderate difficulty (39), securing a solid anchor keyword. Leverage this position by reinforcing the brand name in the title and short description to maintain top‑of‑search visibility.
Only 3 of the 10 analyzed keywords are ranked (runbox #1, ai running coach #11, chatgpt running #15). High‑traffic terms like "marathon training plan", "running tracker", and "gps running" (traffic 52‑75) are not ranked, indicating missed discovery opportunities.
Quality score sits at 38% with a 3.9 rating based on just 10 reviews, suggesting poor user perception and limited social proof. This negatively impacts conversion and eligibility for featured placements.
Charts score is 0% – the app does not appear in global or category top charts, limiting organic install velocity. Driving a surge of installs (e.g., via targeted ad campaigns) can trigger chart placement and improve overall visibility.
Keywords such as "ai running coach" and "chatgpt running" have decent traffic (69 and 56) with moderate difficulty (45‑42). Incorporating these phrases naturally into the app title, short description, and full description can capture emerging search intent.
Actionable recommendations to improve your visibility
Your description is 2225 characters, providing good keyword density and information for users.
A 3.9 rating may deter potential users. Focus on fixing bugs and improving UX.
Last updated 8 months ago. Regular updates signal active development and improve rankings.
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
RunBox - AI Running Coach has a visibility score of 57 out of 100 on the Google Play (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on March 11, 2026.
RunBox - AI Running Coach is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 3 keywords, with 1 keyword reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Based on shared keyword rankings, the most frequent competitors of RunBox - AI Running Coach are RunBox Demo, FitRunner - Running Coach, running.COACH - training plan. These apps appear next to RunBox - AI Running Coach on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
RunBox - AI Running Coach is listed in the Health & Fitness category on the Google Play.
Based on this audit, RunBox - AI Running Coach should focus on the keywords where it ranks 11 to 50 (closest to the top 10), benchmark its title and subtitle against the most frequent competitors, and refresh its listing regularly to maintain quality signals. The full audit lists specific weaknesses, opportunities, and AI-generated suggestions tailored to RunBox - AI Running Coach.
This audit was generated automatically by Applyra by scraping public Google Play data: app metadata, keyword rankings, category positions, and competitor listings. Visibility, keyword and listing quality scores are computed from those signals. Audits are free and do not require an Applyra account.