This audit was generated on April 13, 2026
The data may no longer be up to date.
This audit was generated on April 13, 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
2
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| dbmb | #1 | — |  |     | ||
| call silencer | #48 |  |  |      | ||
| block unknown calls | Not ranked | — | — |      | ||
| silence spam calls | Not ranked | — | — |     | ||
| robocall blocker | Not ranked | — | — |  | ||
| spam call filter | Not ranked | — | — |   | ||
| anonymous call blocker | Not ranked | — | — | | ||
| unwanted call blocker | Not ranked | — | — | | ||
| private number silencer | Not ranked | — | — |      | ||
| mute unknown numbers | Not ranked | — | — | |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
DBMB has a solid quality score (78%) and its brand term ranks #1, but its overall visibility is low (27/100) due to poor keyword coverage and no chart rankings. Immediate focus should be on keyword expansion in the title, short description, and long description to capture high‑traffic terms.
The app's Quality Score is 78%, indicating good performance, low crash rates, and positive user experience. Maintain this level while making ASO changes to avoid degrading app stability.
The brand term "dbmb" ranks #1 with a traffic potential of 63 and a modest difficulty of 31. Leverage this brand equity in metadata and promotional assets to reinforce recognizability.
Only 2 of the top 10 target keywords are ranked (dbmb #1, call silencer #48). High‑traffic keywords such as "block unknown calls" (traffic 75) and "robocall blocker" (traffic 76) are not ranked, costing visibility.
The app is not appearing in any global or category charts, reflecting low install volume and discoverability. Without chart rankings, organic traffic remains limited.
Current title "DBMB–Mute Unknown Calls & Spam" lacks high‑traffic terms like "robocall blocker" and "spam call filter." Adding 2–3 top keywords can boost relevance and click‑through rates.
RealCall.AI, a direct competitor, is ahead and shares only one keyword. Analyzing its metadata reveals additional terms (e.g., "call silencer," "spam call filter") that DBMB can adopt and expand upon.
Actionable recommendations to improve your visibility
Your description is 2449 characters, providing good keyword density and information for users.
24 screenshots give users a comprehensive view of your app.
Your app was updated recently, signaling active maintenance to users and stores.
No significant issues found
Score of 27/100 suggests room for ASO optimization. Focus on keywords and category ranking.
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
DBMB–Mute Unknown Calls & Spam has a visibility score of 27 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 April 13, 2026.
DBMB–Mute Unknown Calls & Spam is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 2 keywords, 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 DBMB–Mute Unknown Calls & Spam are BlazeMe - Spark Connections!, RealCall.AI: Spam Call Blocker, Whitetail Deer Calls Pro. These apps appear next to DBMB–Mute Unknown Calls & Spam on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
DBMB–Mute Unknown Calls & Spam is listed in the Tools category on the Google Play.
Based on this audit, DBMB–Mute Unknown Calls & Spam 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 DBMB–Mute Unknown Calls & Spam.
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.
US