Asc Aso Audit

asc ASO audit

Run a two-phase ASO audit: offline checks against local metadata files, then keyword gap analysis via Astro MCP. When available, include Apple-generated app tags as a discoverability signal.

Preconditions

• Metadata pulled locally into canonical files via asc metadata pull --app "APP_ID" --version "1.2.3" --dir "./metadata".
• If metadata came from asc migrate export or asc localizations download, normalize it into the canonical ./metadata layout before running this skill.
• For Astro gap analysis: app tracked in Astro MCP (optional — offline checks run without it).
• For Apple-generated discoverability tags: asc app-tags list --app "APP_ID" --output json works when the API returns tags for the app.

Before You Start

1. Read references/aso_rules.md to understand the rules each check enforces.
2. Identify the latest version directory under metadata/version/ (highest semantic version number). Use this for all version-level fields.
3. The primary locale is en-US unless the user specifies otherwise.

Metadata File Paths

• App-info fields (subtitle): metadata/app-info/{locale}.json
• Version fields (keywords, description, whatsNew): metadata/version/{latest-version}/{locale}.json
• App name: May not be present in exported metadata. If name is missing from the app-info JSON, fetch it via asc apps info list or ask the user. Do not flag it as a missing-field error.

Phase 1: Offline Checks

Run these 5 checks against the local metadata directory. No network calls required.

1. Keyword Waste

Tokenize the subtitle field (and name if available). Flag any token that also appears in the keywords field — it is already indexed and wastes keyword budget.

Severity: ⚠️ Warning
Example:  "quran" appears in subtitle AND keywords — remove from keywords to free 6 characters

How to check:

1. Read metadata/app-info/{locale}.json for subtitle (and name if present)
2. Read metadata/version/{latest-version}/{locale}.json for keywords
3. Tokenize subtitle (+ name):

• Latin/Cyrillic scripts: split by whitespace, strip leading/trailing punctuation, lowercase
• Chinese/Japanese/Korean: split by 、 ， , or iterate characters — each character or character-group is a token. Whitespace tokenization does not work for CJK.
• Arabic: split by whitespace, then also generate prefix-stripped variants (remove ال prefix) since Apple likely normalizes definite articles. For example, "القرآن" in subtitle should flag both "القرآن" and "قرآن" in keywords.

1. Split keywords by comma, trim whitespace, lowercase
2. Report intersection (including fuzzy matches from prefix stripping)

Optional: App Tag Alignment

App tags are Apple-generated labels that can appear in search results and product pages. They are not editable ASO metadata, but they are useful evidence for whether Apple's classification matches the intended positioning.

asc app-tags list --app "APP_ID" --output json
asc app-tags view --app "APP_ID" --id "TAG_ID" --output json

Use tags as context only:

• If visible tags reinforce the subtitle/keyword strategy, note the alignment.
• If tags point to an unintended category or use case, recommend metadata/category changes that may improve future classification.
• Do not promise that changing metadata will immediately change Apple-generated tags.

Optional: Official Apple Search Plan

When both App Store Connect and Apple Ads credentials are configured, use the experimental, read-only plan to join the selected metadata with official paid search evidence:

asc optimize search plan \
  --app "APP_ID" \
  --version "1.2.3" \
  --ad-account "AD_ACCOUNT_ID" \
  --country "US" \
  --genre "PRODUCTIVITY_UTILITIES" \
  --locale "en-US" \
  --out-dir ".asc/optimization/1.2.3" \
  --output markdown

• Authenticate App Store Connect with asc auth and Apple Ads separately with asc ads auth login; the two credential sets are independent.
• Treat the generated CSV and JSON files as review artifacts. The command does not apply metadata, exact keywords, or negative keywords, and partial Apple Ads source failures stay visible in the report.
• Keep Apple's popularity, app-specific paid reach, paid search outcomes, and metadata coverage distinct. Do not infer organic rank or keyword difficulty from this plan.

2. Underutilized Fields

Flag fields using less than their recommended minimum:

Severity: ⚠️ Warning
Example:  keywords is 62/100 characters (62%) — 38 characters of indexing opportunity unused

3. Missing Fields

Flag empty or missing required fields: subtitle, keywords, description, whatsNew.

Note: name may not be in the export — only flag it if the app-info JSON explicitly contains a name key with an empty value.

Severity: ❌ Error
Example:  subtitle is empty for locale en-US

4. Bad Keyword Separators

Check the keywords field for formatting issues:

• Spaces after commas (quran, recitation)
• Semicolons instead of commas (quran;recitation)
• Pipes instead of commas (quran|recitation)

Severity: ❌ Error
Example:  keywords contain spaces after commas — wastes 3 characters

5. Cross-Locale Keyword Gaps

Compare keywords fields across all available locales. Flag locales where keywords are identical to the primary locale (en-US by default) — this usually means they were not localized.

Severity: ⚠️ Warning
Example:  ar keywords identical to en-US — likely not localized for Arabic market

How to check:

1. Load keywords for all locales
2. Compare each non-primary locale against the primary
3. Flag exact matches (case-insensitive)

6. Description Keyword Coverage

Check whether keywords appear naturally in the description field. While Apple does not index descriptions for search, users who see their search terms reflected in the description are more likely to download — this improves conversion rate, which indirectly boosts rankings.

Severity: 💡 Info
Example:  3 of 16 keywords not found in description: namaz, tarteel, adhan

How to check:

1. Load keywords and description for each locale
2. For each keyword, check if it appears as a substring in the description (case-insensitive)
3. Account for inflected forms: Arabic root matches, verb conjugations (e.g., "memorizar" ≈ "memorices"), and case declensions (e.g., Russian "сура" ≈ "суры")
4. Report missing keywords per locale — recommend weaving them naturally into existing sentences
5. Do NOT flag: Latin-script keywords in non-Latin descriptions (e.g., "quran" in Cyrillic text) — these target separate search paths

Phase 2: Astro MCP Keyword Gap Analysis

If Astro MCP is available and the app is tracked, run keyword gap analysis. Run this per store/locale, not just for the US store — keyword popularity varies dramatically across markets.

Steps

1. Get current keywords: Call get_app_keywords with the app ID to retrieve tracked keywords and their current rankings.

1. Check multi-store tracking: Query existing tracking for each locale's App Store territory. Report untracked stores as unavailable and continue the audit. Use add_keywords only when the user separately authorizes tracking setup; empty rankings for an untracked store do not prove poor performance.

1. Extract competitor keywords: Call extract_competitors_keywords with 3-5 top competitor app IDs to find keyword gaps. This is the highest-value Astro tool — it reveals keywords competitors rank for that you don't. Run this per store when possible.

1. Get suggestions: Call get_keyword_suggestions with the app ID for additional recommendations based on category analysis.