This audit was generated on March 31, 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
9
Ranked in top 100
6
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| noise machine | #2 | |||||
| green noise | #2 | |||||
| pink noise | #4 | |||||
| fan noise | #5 | |||||
| brown noise | #6 | |||||
| focus sounds | #7 | |||||
| white noise | #13 | |||||
| sleep sounds | #25 | |||||
| relaxation sounds | #76 | |||||
| tinnitus relief | Not ranked | — | — |
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Occurrence count shows how many keywords each competitor appears on
Health & Fitness chart position
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
The app has an excellent keyword footprint with 6 of the top 10 target terms in the top 10 positions, but its overall visibility suffers from a low quality score and lack of chart presence. Immediate focus should be on improving app assets and expanding rankings for high‑traffic keywords like "white noise" and "sleep sounds" to boost rankings and install volume.
Six of the ten analyzed keywords rank within the top 10 (e.g., noise machine #2, fan noise #5, pink noise #4, green noise #2, brown noise #6, focus sounds #7), driving strong organic traffic potential.
The app maintains a 4.5‑star rating with 3,652 reviews, indicating solid user satisfaction that can be leveraged in the store listing to improve conversion rates.
A 50% quality score suggests deficiencies in visual assets, metadata completeness, or in‑app experience, which likely hampers conversion and chart eligibility.
Charts score is 0% and the app is unranked in its Health & Fitness category, limiting discoverability beyond keyword searches.
The keyword "white noise" sits at rank 13 with high traffic (69) and difficulty (75), while "sleep sounds" is at rank 25 with traffic 73. Optimizing metadata for these terms can push them into the top 10 and capture additional high‑volume searches.
Keywords like "tinnitus relief" (traffic 32) and "relaxation sounds" (traffic 72) are not currently ranked; targeting them with dedicated copy and localized assets can open new user segments.
Actionable recommendations to improve your visibility
Your description is 3244 characters, providing good keyword density and information for users.
35 screenshots give users a comprehensive view of your app.
Ranking in top 10 for 5 keyword(s): fan noise, brown noise, green noise.
Score of 78/100 indicates solid app store presence.
Last updated 7 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.
Noise Machine - Green, White has a visibility score of 78 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 31, 2026.
Noise Machine - Green, White is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 9 keywords, with 6 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 Noise Machine - Green, White are White Noise Lite, Sleep Sounds: White Noise, Binaural Beats Brainwaves. These apps appear next to Noise Machine - Green, White on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Noise Machine - Green, White is listed in the Health & Fitness category on the Google Play.
Based on this audit, Noise Machine - Green, White 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 Noise Machine - Green, White.
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.