This audit was generated on March 19, 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
3
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| brown noise | #3 | |||||
| pink noise | #3 | |||||
| slo | #7 | |||||
| ambient sounds | #11 | |||||
| focus sounds | #15 | |||||
| sleep noise | #18 | |||||
| white noise | #21 | |||||
| rain sounds | #26 | |||||
| nature sounds | #45 | |||||
| sleep sounds | Not ranked | — | — |
Apps positioned directly before or after yours on keywords
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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 boasts a strong keywords profile (98% score) and solid quality (88%) but lacks visibility in charts and misses rankings for high‑traffic core terms like "sleep sounds". Prioritizing keyword integration and chart optimization will drive higher discoverability.
9 out of 10 target keywords are ranked, with top positions for "brown noise" (rank 3) and "pink noise" (rank 3), contributing to a 98% keywords score. Maintain this momentum by preserving current on‑page SEO tactics.
Charts Score is 0% and the app is not ranked in the Health & Fitness category, indicating no organic traction into top charts. This limits algorithmic boost and user discovery.
The primary term "sleep sounds" (traffic 73, difficulty 79) is not ranked, despite being central to the app’s purpose. Missing this keyword reduces exposure to the broadest search audience.
Keywords with strong traffic such as "white noise" (rank 21) and "rain sounds" (rank 26) have moderate difficulty; boosting them to top‑20 can capture additional searches. Refine metadata to include these terms naturally.
Competitors like "Brown Noise, Sleep Sounds: BRW" rank ahead on shared keywords. Differentiate by adding unique value statements (e.g., "scientifically proven"), and incorporate long‑tail variants like "brown noise for focus" to outrank them.
Actionable recommendations to improve your visibility
Your app was updated recently, signaling active maintenance to users and stores.
Ranking in top 10 for 1 keyword(s): pink noise.
Score of 78/100 indicates solid app store presence.
You have 3 screenshots. Adding more (8-10) helps showcase features and increases conversion.
Improving ratings and downloads can help reach category top charts.
This audit gives you a snapshot. With Applyra, you get continuous monitoring, competitor alerts, and AI-powered recommendations to grow your app.
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Common questions about this ASO audit.
Slo: Sleep Sounds, Brown Noise 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 19, 2026.
Slo: Sleep Sounds, Brown Noise is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 9 keywords, with 3 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 Slo: Sleep Sounds, Brown Noise are SLO Country Club, SLO County Public Libraries, Brown Noise, Sleep Sounds: BRW. These apps appear next to Slo: Sleep Sounds, Brown Noise on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Slo: Sleep Sounds, Brown Noise is listed in the Health & Fitness category on the Google Play.
Based on this audit, Slo: Sleep Sounds, Brown Noise 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 Slo: Sleep Sounds, Brown Noise.
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.