This audit was generated on February 6, 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
1
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| white noise sounds for sleep | #2 | |||||
| white noise | Not ranked | — | — | |||
| sleep sounds | Not ranked | — | — | |||
| relaxing sounds | Not ranked | — | — | |||
| nature sounds | Not ranked | — | — | |||
| rain sounds | Not ranked | — | — | |||
| ocean waves | Not ranked | — | — | |||
| meditation music | Not ranked | — | — | |||
| calm sounds | Not ranked | — | — | |||
| fireplace sounds | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
The app’s ASO performance is very low (13/100) with only one keyword ranked (#2 for "white noise sounds for sleep") and a modest 50% quality score. Immediate focus should be on expanding keyword relevance, boosting app quality assets, and generating user reviews to improve rankings and visibility.
The app already ranks #2 for the primary keyword "white noise sounds for sleep" with a traffic potential of 43 and moderate difficulty (44). Maintaining and protecting this position should be a priority while expanding into related terms.
Only 1 out of 10 target keywords is ranked; the remaining high‑traffic terms (e.g., "white noise" traffic 68, difficulty 78) are not appearing in search results. This severely restricts discoverability across the core sleep‑sound market.
The app’s quality score sits at 50%, indicating sub‑optimal assets such as screenshots, icon, or description. Poor visual and copy quality reduces conversion rates and can affect ranking algorithms.
Keywords like "white noise", "sleep sounds", "relaxing sounds", and "rain sounds" each have traffic scores above 60 but the app is not ranked for any of them. Incorporating these terms into the title, short description, and keyword field can capture significant search volume.
Competitors list only one shared keyword each, meaning many keyword opportunities remain untapped. By targeting additional relevant terms and improving assets, the app can surpass these rivals in the Health & Fitness category.
Actionable recommendations to improve your visibility
Your app was updated recently, signaling active maintenance to users and stores.
You have 4 screenshots. Adding more (8-10) helps showcase features and increases conversion.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 13/100 suggests room for ASO optimization. Focus on keywords and category ranking.
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.
White noise, sounds for sleep has a visibility score of 13 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 February 6, 2026.
White noise, sounds for sleep is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 1 keyword, 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 White noise, sounds for sleep are Sleep Sounds - relaxing sounds, Sleep Sounds: White Noise. These apps appear next to White noise, sounds for sleep on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
White noise, sounds for sleep is listed in the Health & Fitness category on the Google Play.
Based on this audit, White noise, sounds for sleep 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 White noise, sounds for sleep.
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.