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
5
Ranked in top 100
2
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| curiouscats | #1 | — |  |     | ||
| ai news digest | #1 | — |  |    | ||
| news digest | #35 |  |  |      | ||
| ai curated news | #39 |  |  |      | ||
| ai news | #80 |  |  |     | ||
| personalized news | Not ranked | — | — |    | ||
| news summary | Not ranked | — | — |  | ||
| news brief | Not ranked | — | — |  | ||
| fact check news | Not ranked | — | — |      | ||
| news without bias | Not ranked | — | — |    |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
The app owns two №1 ranks (brand + “ai news digest”) but is invisible in high-traffic generic searches (80 traffic “ai news” at 80, “personalized news”, “news summary” un-ranked) and has zero chart presence, capping installs. With a 78 % quality score and 4.2 rating but zero reviews, ASO focus must shift from on-metadata polish to aggressive keyword expansion & review velocity.
Dominates exact brand “curiouscats” and compound term “ai news digest”. Maintain these by keeping the terms in title/subtitle and updating every 4-6 weeks to avoid Apple resets.
Sitting at rank 80 for the highest-traffic relevant term while the app already contains both words. Reweight title to start with “AI News” and repeat it once in subtitle; expect 30-40 rank jump within one cycle.
4.2 rating is calculated from 0 reviews, killing conversion. Trigger an in-app Apple Review API prompt after 3 digest opens; aim for 50 new reviews in first 30 days to lift conversion ±15 %.
Three adjacent mid-traffic terms (summary, brief, digest) are un-ranked. Swap secondary subtitle keyword to “News Summary & Brief” and create screenshots 2-3 that show 30-second summary cards. Ranks 15-25 achievable.
News category top-150 requires ~2.5k US DAU. A $3-4k Apple Search Ads burst on “ai news”+“personalized news” for 48h can push the app into top-100, creating organic uplift that outlives ad spend.
Competitors describe themselves as “intelligence” or “now”. Emphasize “fact-first, bias-free in 2 min” in first description para and screenshot caption to own the angle “news without bias” (48 traffic, difficulty 42).
Actionable recommendations to improve your visibility
Your description is 1586 characters, providing good keyword density and information for users.
8 screenshots give users a comprehensive view of your app.
No significant issues found
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
CuriousCats.ai: AI News Digest has a visibility score of 44 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 April 26, 2026.
CuriousCats.ai: AI News Digest is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 5 keywords, with 2 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 CuriousCats.ai: AI News Digest are Curious Cat: Paid Surveys, Sage AI - News Intelligence, Chat Smith: AI Chatbot & Agent. These apps appear next to CuriousCats.ai: AI News Digest on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
CuriousCats.ai: AI News Digest is listed in the News category on the Apple App Store.
Based on this audit, CuriousCats.ai: AI News Digest 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 CuriousCats.ai: AI News Digest.
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.
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