This audit was generated on April 8, 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
5
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| pikacalc | #1 | — | ||||
| pokémon damage calc | #11 | |||||
| pokémon damage calculator | #13 | |||||
| pokémon battle calculator | #33 | |||||
| pokémon team builder | #99 | |||||
| pokédex | Not ranked | — | — | |||
| pokémon stats | Not ranked | — | — | |||
| pokémon moves | Not ranked | — | — | |||
| pokémon team planner | Not ranked | — | — | |||
| pokémon calculator | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
PikaCalc ranks #1 for its brand keyword but overall visibility is low (44/100) due to poor keyword coverage, no reviews, and lack of category ranking. Immediate focus should be on expanding high‑traffic Pokémon keywords and boosting user credibility.
The app’s own name "pikacalc" ranks #1 with 40 traffic and low difficulty (31), securing a solid anchor for ASO. Maintain this position while using the brand term in the title and subtitle for consistent reinforcement.
Four of the top 10 analyzed keywords (e.g., "pokédex", "pokémon stats", "pokémon moves", "pokémon team planner") have traffic >40 but are not ranked. Incorporate these exact phrases into the title, subtitle, and keyword field to capture their demand.
The app has a 0.0 rating with no reviews, dragging the Quality Score to 50%. Implement in‑app prompts after a successful calculation to solicit 5‑star reviews and aim for at least 20 reviews within the next month.
PikaCalc is not ranked in the Utilities category. Adding the primary category keyword "calculator" and secondary keywords like "damage calculator" to the keyword list, plus updating the category to "Utilities > Calculator", can unlock chart placement.
Competitors such as Pokémon UNITE and Teamstuff rank ahead while sharing only one keyword each. By expanding to the unranked Pokémon‑related terms, PikaCalc can surpass them on those high‑volume keywords.
The description truncates after 500 characters and lacks keyword density. Rewrite the first 250 characters to include the top 5 unranked keywords and add compelling bullet points. Refresh screenshots to highlight the team builder and Pokédex features, which are key user interests.
Actionable recommendations to improve your visibility
Your app was updated recently, signaling active maintenance to users and stores.
No significant issues found
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
PikaCalc - Damage Calculator 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 8, 2026.
PikaCalc - Damage Calculator is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 5 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 PikaCalc - Damage Calculator are DataCamp: Learn Coding & AI, Pokémon UNITE, Calculator for iPad!. These apps appear next to PikaCalc - Damage Calculator on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
PikaCalc - Damage Calculator is listed in the Utilities category on the Apple App Store.
Based on this audit, PikaCalc - Damage Calculator 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 PikaCalc - Damage Calculator.
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.