This audit was generated on April 23, 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
3
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| llmterminal | #1 | — | ||||
| language model interface | #37 | |||||
| large language modelOpportunity | #76 | |||||
| ai chatbotOpportunity | Not ranked | — | — | |||
| openai connectorOpportunity | Not ranked | — | — | |||
| ai model browserOpportunity | Not ranked | — | — | |||
| chat with aiOpportunity | Not ranked | — | — | |||
| language generatorOpportunity | Not ranked | — | — | |||
| ai image generator | Not ranked | — | — | |||
| stable diffusion appOpportunity | Not ranked | — | — |
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Productivity chart position
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
LLMTerminal has a strong brand presence with its exact name ranking #1, but suffers from low overall visibility due to poor keyword coverage, no user ratings, and missing category placement. Immediate focus should be on expanding high‑traffic keywords and generating reviews to lift the visibility score.
The exact app name "llmterminal" ranks #1 with a traffic score of 29, providing a solid anchor for discoverability. Leverage this by keeping the name unchanged and using it prominently in the title and short description.
A quality score of 50% indicates the app meets basic technical and UI standards, giving a foundation to build upon without major stability issues.
Only 3 out of 10 target keywords rank (21% keywords score). High‑traffic terms like "ai chatbot" (traffic 82) and "openai connector" (traffic 56) are not ranked, severely limiting organic reach.
The app has 0 reviews, resulting in a N/A rating that discourages installs. Lack of social proof also hurts the quality score and chart eligibility.
LLMTerminal is not placed in the Productivity category charts, preventing exposure to category‑specific browsers and reducing install momentum.
Integrate high‑traffic, medium‑difficulty keywords (e.g., "ai chatbot", "openai connector", "ai image generator") into the title, short description, and keyword field. This can quickly boost the keywords score from 21% toward 60%+.
Implement an in‑app prompt after successful sessions and offer a small incentive (e.g., extra model credits) to encourage 5‑star reviews. Aim for at least 20 reviews within 30 days to improve rating perception and quality score.
Actionable recommendations to improve your visibility
Your description is 2846 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 19/100 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.
LLMTerminal has a visibility score of 19 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 23, 2026.
LLMTerminal is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 3 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 LLMTerminal are DiamondMcNabb, Lingo.ing AI Language Tutor, Lingopie: Language Learning. These apps appear next to LLMTerminal on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
LLMTerminal is listed in the Productivity category on the Google Play.
Based on this audit, LLMTerminal 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 LLMTerminal.
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.