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
8
Ranked in top 100
8
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| icoder | #1 | — | ||||
| hcpcs lookup | #1 | — | ||||
| ndc codes | #1 | — | ||||
| icd10 cross coding | #1 | — | ||||
| cpt codes | #2 | |||||
| cpt rvu calculator | #3 | |||||
| icd10 codes | #6 | |||||
| medical coding | #10 | |||||
| medical billing | Not ranked | — | — | |||
| rvu calculator | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
iCoder ranks strongly for its core medical coding keywords (8/10 top positions) but lacks visibility in charts and category rankings, with moderate quality metrics and few reviews. Priority should be boosting chart presence and expanding keyword coverage while improving user feedback.
The app holds #1 positions for icoder, hcpcs lookup, ndc codes, and icd10 cross coding, and top‑3 for cpt codes and cpt rvu calculator, generating the highest traffic volumes (67, 44, 42, 25). Maintain these placements with regular metadata checks.
Charts Score is 0% with no global or category rankings, preventing organic discovery beyond keyword search. This directly caps the visibility score despite strong keyword performance.
Only 39 reviews yield a 4.3 rating, pulling the Quality Score to 78%. More positive reviews would improve trust and the algorithm’s quality assessment.
Keywords "medical billing" (traffic 35) and "rvu calculator" (traffic 24) have moderate difficulty yet are not ranked. Adding these terms to the title, short description, and long description can capture additional search volume.
The app is not ranked in the Medical category, limiting exposure to users browsing by category. Optimizing category‑specific metadata and acquiring category‑related reviews can unlock this channel.
Current description is cut off and lacks clear calls‑to‑action. Updating the first 150 characters with top keywords and a compelling benefit statement can raise install conversion rates, boosting quality score.
Actionable recommendations to improve your visibility
Your description is 3253 characters, providing good keyword density and information for users.
23 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 7 keyword(s): medical coding, cpt codes, icd10 codes.
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.
iCoder CPT RVU ICD10 HCPCS NDC 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 June 2, 2026.
iCoder CPT RVU ICD10 HCPCS NDC is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 8 keywords, with 8 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 iCoder CPT RVU ICD10 HCPCS NDC are Learn Python Coding - Mimo, Accurate Medical Coding, CPC Medical Coding Prep 2026. These apps appear next to iCoder CPT RVU ICD10 HCPCS NDC on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
iCoder CPT RVU ICD10 HCPCS NDC is listed in the Medical category on the Google Play.
Based on this audit, iCoder CPT RVU ICD10 HCPCS NDC 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 iCoder CPT RVU ICD10 HCPCS NDC.
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.