This audit was generated on March 31, 2026
The data may no longer be up to date.
USVisibility Breakdown
How your app performs across different visibility factors
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Start tracking for freeKeyword Rankings
Your 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 soundsOpportunity | #76 |  |  |  | ||
| tinnitus reliefOpportunity | Not ranked | — | — |      |
Keyword Competitors
Apps positioned directly before or after yours on keywords
Sleep Sounds: White Noise
Health & Fitness
Binaural Beats Brainwaves
Health & Fitness
Sleep Sounds - relaxing sounds
Health & Fitness
Calm - Sleep, Meditate, Relax
Health & Fitness
Brown Noise and Pink Noise
Health & Fitness
White Noise Lite
Health & Fitness
White Noise Baby
Lifestyle
White Noise - Sleep And Relax
Health & Fitness
White Noise Deep Sleep Sounds
Health & Fitness
Green Noise Sleep Sounds
Music & Audio
Occurrence count shows how many keywords each competitor appears on
Category Ranking
Health & Fitness chart position
Blood Pressure Tracker
Planet Fitness
AllTrails: Hike, Bike & Run
Yuka - Food & Cosmetic Scanner
Finch: Self-Care Pet
Step Tracker Launcher
Health Sense: Track & Record
Strava: Run, Bike, Walk
Lazy exercise at home
MyFitnessPal: Calorie Counter
Flo Ovulation & Period Tracker
Step Counter - Pedometer
healow
Sweatcoin・Walking Step Counter
BitePal: AI Calorie Counter
Improve your ratings and downloads to climb the category charts.
AI-Powered Analysis
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.
- 1Rewrite the app title and short description to embed top‑ranking keywords (e.g., "Noise Machine – White, Brown, Pink, Green, Fan Sounds for Sleep & Focus").
- 2Create high‑resolution screenshots, a 15‑second promo video, and a refreshed icon that highlight the most popular sound categories to raise the quality score.
- 3Expand the long description with natural language inclusion of "white noise," "sleep sounds," "tinnitus relief," and related LSI terms, ensuring each appears at least twice.
- 4A/B test multiple icon and feature‑graphic variations to improve click‑through rate and drive the app into the Google Play charts.
- 5Launch a targeted user‑acquisition campaign (e.g., Google UAC) focused on the high‑traffic keywords to increase install volume and improve chart ranking.
ASO Insights
Actionable recommendations to improve your visibility
Detailed description
Your description is 3244 characters, providing good keyword density and information for users.
Strong visual presence
35 screenshots give users a comprehensive view of your app.
Strong keyword positions
Ranking in top 10 for 5 keyword(s): fan noise, brown noise, green noise.
Good visibility score
Score of 78/100 indicates solid app store presence.
Infrequent updates
Last updated 7 months ago. Regular updates signal active development and improve rankings.
Not in category top charts
Improving ratings and downloads can help reach category top charts.
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Audit FAQ
Common questions about this ASO audit.
What is the ASO visibility score of Noise Machine - Green, White?
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.
On how many keywords does Noise Machine - Green, White rank?
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.
Who are the main competitors of Noise Machine - Green, White?
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.
What category is Noise Machine - Green, White in on the Google Play?
Noise Machine - Green, White is listed in the Health & Fitness category on the Google Play.
How can Noise Machine - Green, White improve its App Store Optimization?
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.
How was this ASO audit generated?
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.