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 |
|---|---|---|---|---|---|---|
| cipher ai | #1 | — | ||||
| private llm chat | #29 | |||||
| private ai chat | #98 | |||||
| offline ai assistant | Not ranked | — | — | |||
| on-device ai | Not ranked | — | — | |||
| llama ai models | Not ranked | — | — | |||
| ai agent automation | Not ranked | — | — | |||
| ai assistant iphone | Not ranked | — | — | |||
| local ai models | Not ranked | — | — | |||
| ai chatbot no internet | Not ranked | — | — |
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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
Cipher AI has a strong primary keyword (cipher ai rank 1) but overall visibility is low (21/100) due to poor keyword coverage, no ratings, and no category ranking. Immediate focus should be on expanding keyword rankings and building social proof.
The brand keyword "cipher ai" ranks #1 with traffic 44 and moderate difficulty (41), giving the app immediate visibility for its exact name.
Only 3 of 10 target keywords rank (cipher ai #1, private llm chat #29, private ai chat #98); the remaining high‑traffic terms (e.g., offline ai assistant, on‑device ai) are not ranked, capping discovery potential.
The app has a 0.0 rating with no reviews, causing a quality score penalty and discouraging downloads; competitors show higher engagement.
Incorporate unranked high‑traffic terms such as "offline ai assistant" (traffic 46), "on‑device ai" (traffic 44), and "local ai models" (traffic 47) into the title, subtitle, and keyword field to improve rankings.
Emphasize the privacy‑by‑design claim in the description and screenshots; this differentiates Cipher AI from competitors like Trillian and can attract users searching for "private ai chat" (traffic 48).
Target the Productivity category by adding relevant keywords (e.g., "ai assistant iphone") and consider a sub‑category like "Utilities" to capture additional organic traffic.
Actionable recommendations to improve your visibility
Your description is 2190 characters, providing good keyword density and information for users.
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 21/100 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.
Cipher AI: Private LLM Chat has a visibility score of 21 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 June 2, 2026.
Cipher AI: Private LLM Chat 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 Cipher AI: Private LLM Chat are Sakura - Chat with AI Bots, Socrates AI - Chat Characters, LocalLLM - Offline Private AI. These apps appear next to Cipher AI: Private LLM Chat on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Cipher AI: Private LLM Chat is listed in the Productivity category on the Apple App Store.
Based on this audit, Cipher AI: Private LLM Chat 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 Cipher AI: Private LLM Chat.
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.