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
6
Ranked in top 100
4
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| bike repair assistant | #2 | |||||
| motorbike ai mechanic | #2 | |||||
| motorcycle part identification | #5 | |||||
| motorcycle diagnostics | #6 | |||||
| motorcyclerepairai | #18 | |||||
| repair cost estimator | #96 | |||||
| maintenance tracker | Not ranked | — | — | |||
| camera diagnosis | Not ranked | — | — | |||
| chat repair guide | Not ranked | — | — | |||
| ride safety tips | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Motorcycle Repair AI shows decent keyword rankings (4/10 in top 10) but suffers from low quality signals and poor brand keyword visibility, resulting in a modest 49/100 visibility score.
The app ranks #2 for "bike repair assistant" and "motorbike ai mechanic" and #5‑6 for "motorcycle part identification" and "motorcycle diagnostics", indicating strong relevance for primary user intents. Leverage these positions by reinforcing the same terms in the title, short description, and feature graphic.
Only one shared keyword with each listed competitor, meaning the niche is not saturated. This gives room to capture additional related terms without fierce direct battles. Focus on expanding keyword set around existing high‑ranking terms.
The exact brand phrase "motorcyclerepairai" sits at rank 18, outside the top 10, limiting discoverability for users searching the app name. Elevate this keyword by placing it at the front of the app title and ensuring it appears early in the short description.
A Quality Score of 13% and zero user reviews indicate poor conversion and trust signals, which hurt rankings and install rates. Implement in‑app review prompts to gather at least 20 five‑star ratings and add a compelling FAQ/feature list in the description.
The moderate‑KEI keyword "chat repair guide" (traffic 22, KEI 0.41) and "camera diagnosis" (traffic 12, KEI 0.31) are currently unranked. Integrating these exact phrases into the long description and subtitle can improve relevance and unlock new traffic without high difficulty.
Actionable recommendations to improve your visibility
Your description is 1923 characters, providing good keyword density and information for users.
10 screenshots give users a comprehensive view of your app.
Ranking in top 10 for 4 keyword(s): motorcycle diagnostics, bike repair assistant, motorbike ai mechanic.
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.
Motorcycle Repair AI has a visibility score of 49 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 July 5, 2026.
Motorcycle Repair AI is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 6 keywords, with 4 keywords 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 Motorcycle Repair AI are Repair Log: Moto & Car, OBD2 Scanner: Code Fix Guide, BikeSensor motorbike dashboard. These apps appear next to Motorcycle Repair AI on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Motorcycle Repair AI is listed in the Auto & Vehicles category on the Google Play.
Based on this audit, Motorcycle Repair AI 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 Motorcycle Repair AI.
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.