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
7
Ranked in top 100
3
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| oigetit | #1 | — | ||||
| fake news filter | #1 | — | ||||
| fake news detector | #2 | |||||
| news verification | #11 | |||||
| news checker | #25 | |||||
| ai news | #34 | |||||
| trusted news | #56 | |||||
| news aggregator | Not ranked | — | — | |||
| real news | Not ranked | — | — | |||
| reliable news | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Oigetit Fake News Filter has strong keyword fundamentals with a 100% Keywords Score and top rankings for its brand and primary terms, but suffers from zero chart visibility and missing rankings for several high‑traffic keywords, limiting overall discoverability.
The app ranks #1 for both "oigetit" and "fake news filter" and #2 for "fake news detector", covering 3 of the top‑10 positions and driving the highest traffic scores (55, 47, 50). This solid foundation should be leveraged to maintain dominance and cross‑promote related terms.
Charts Score is 0%, meaning the app does not appear in any top‑charts (global or category). Without chart placement, organic install volume is constrained, especially for users browsing top lists rather than searching.
High‑traffic keywords like "news aggregator" (traffic 56), "real news" (traffic 54) and "reliable news" (traffic 58) are not ranked at all. These terms have moderate difficulty (44‑48) and represent untapped discovery potential.
The app is currently unranked in the News & Magazines category. Optimizing the subtitle, short description, and adding category‑specific LSI keywords can push the app into the top‑50, boosting category‑based searches.
Competitors like NewsNation and NewsBreak are ahead despite sharing only one keyword each. Analyzing their keyword mix and incorporating missing high‑traffic terms (e.g., "trusted news" rank 56) can close the gap and capture their install share.
A/B testing new screenshots that highlight the AI verification process and adding a call‑to‑action banner can improve click‑through rates, supporting higher chart rankings and overall quality score maintenance.
Actionable recommendations to improve your visibility
Your description is 1747 characters, providing good keyword density and information for users.
8 screenshots give users a comprehensive view of your app.
Your app was updated recently, signaling active maintenance to users and stores.
Ranking in top 10 for 1 keyword(s): fake news detector.
Score of 79/100 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.
Oigetit Fake News Filter has a visibility score of 79 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 May 16, 2026.
Oigetit Fake News Filter is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 7 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 Oigetit Fake News Filter are Manus AI, Fake News Paper, NewsNation. These apps appear next to Oigetit Fake News Filter on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Oigetit Fake News Filter is listed in the News & Magazines category on the Google Play.
Based on this audit, Oigetit Fake News Filter 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 Oigetit Fake News Filter.
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.