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
6
Ranked in top 100
3
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| social matchmaking | #4 | |||||
| loop | #7 | |||||
| matchmaking | #8 | |||||
| friend matchmaker | #12 | |||||
| matchmaker network | #17 | |||||
| matchmaking app | #27 | |||||
| social network | Not ranked | — | — | |||
| meet new people | Not ranked | — | — | |||
| dating through friends | Not ranked | — | — | |||
| friend dating | 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
Dating chart position
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Plenty of Fish : Dating App
Upward: Date, Chat & Meet
Feeld: Open-Minded Dating App
Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Loop: The Matchmaking App shows a solid keyword foundation (79% score) but suffers from zero chart visibility and limited category ranking, making discoverability the top priority.
6 out of the 10 target keywords are already ranked (e.g., loop #7, matchmaking #8, social matchmaking #4), giving a 79% keyword score. Leverage these wins by reinforcing them in the title, short description, and visual assets.
Charts Score is 0% – the app does not appear in any global or category charts, which drastically limits organic installs. Immediate focus on improving conversion rate (CTR & install rate) is required.
The primary brand keyword "loop" has a very high difficulty (90) and currently ranks only #7, while a competitor (Loop EV Charger) occupies top spots. This dilution hurts visibility; consider adding a unique qualifier (e.g., "Loop dating") to differentiate.
Keywords like "social network" (traffic 55), "meet new people" (traffic 47) and "friend dating" (traffic 47) have decent search volume but are not ranked. Incorporate them naturally into the description, short description, and recent update notes.
"social matchmaking" ranks #4 with difficulty 34 and traffic 48. Target similar low‑difficulty, high‑traffic terms (e.g., "matchmaker network" #17, difficulty 31) to push them into the top‑3 positions.
The current description stops mid‑sentence, missing chances to embed keywords and convey value. A full, compelling description of ~2,500 characters can improve relevance signals and conversion.
Actionable recommendations to improve your visibility
21 screenshots give users a comprehensive view of your app.
Ranking in top 10 for 1 keyword(s): social matchmaking.
Score of 63/100 indicates solid app store presence.
No significant issues found
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
Loop: The Matchmaking App has a visibility score of 63 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 June 3, 2026.
Loop: The Matchmaking App is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 6 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 Loop: The Matchmaking App are Loop EV Charger, O Loop, Plenty of Fish : Dating App. These apps appear next to Loop: The Matchmaking App on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Loop: The Matchmaking App is listed in the Dating category on the Google Play.
Based on this audit, Loop: The Matchmaking App 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 Loop: The Matchmaking App.
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.