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 |
|---|---|---|---|---|---|---|
| lm manager pro | #1 | — | ||||
| language model | Not ranked | — | — | |||
| ai model management | Not ranked | — | — | |||
| inference node | Not ranked | — | — | |||
| tailscale vpn | Not ranked | — | — | |||
| cloud ai integration | Not ranked | — | — | |||
| model inference | Not ranked | — | — | |||
| ai team management | Not ranked | — | — | |||
| language model studio | Not ranked | — | — | |||
| cross provider streaming | Not ranked | — | — |
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No competitors ranking directly ahead
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Occurrence count shows how many keywords each competitor appears on
Productivity chart position
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
LM Manager Pro ranks #1 for its exact name but lacks visibility for broader, high‑traffic keywords and has no chart or category ranking. Immediate focus should be on expanding keyword coverage, improving metadata quality, and generating reviews.
The app holds the #1 position for the keyword "lm manager pro" with a traffic potential of 65 and a modest difficulty of 33, confirming strong brand ownership.
Only 1 of the 10 target keywords is ranked, resulting in a Keywords Score of 19%. The remaining high‑traffic terms (e.g., "language model", "ai model management", "inference node") are unranked despite traffic 37‑51 and difficulty 25‑41.
Charts Score is 0% and the app is not ranked in the Productivity category, indicating insufficient download volume and discoverability.
The app has a 0.0 rating with 0 reviews, which hurts credibility and conversion rates; Apple’s algorithm also penalizes unrated apps.
Keywords like "language model" (traffic 37, difficulty 39) and "inference node" (traffic 51, difficulty 33) are within reach. Adding them to the title, subtitle, and keyword field can boost visibility dramatically.
Terms such as "tailscale vpn" and "cloud ai integration" have decent traffic (53 & 41) and low competition. Positioning the app as the go‑to solution for Tailscale‑based AI infra can differentiate it from the sole competitor Meraki Systems Manager.
Actionable recommendations to improve your visibility
Your description is 3643 characters, providing good keyword density and information for users.
10 screenshots give users a comprehensive view of your app.
Your app was updated recently, signaling active maintenance to users and stores.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 17/100 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.
LM Manager Pro has a visibility score of 17 out of 100 on the Apple App Store (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on May 22, 2026.
LM Manager Pro 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 LM Manager Pro are Meraki Systems Manager. These apps appear next to LM Manager Pro on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
LM Manager Pro is listed in the Productivity category on the Apple App Store.
Based on this audit, LM Manager Pro 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 LM Manager Pro.
This audit was generated automatically by Applyra by scraping public Apple App Store 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.