asc ASO audit

Run a two-phase ASO audit: offline checks against local metadata files, then keyword gap analysis via Astro MCP.

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).

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

2. Underutilized Fields

Flag fields using less than their recommended minimum:

Field	Minimum	Limit	Rationale
Keywords	90 chars	100	90%+ usage maximizes indexing
Subtitle	20 chars	30	65%+ usage recommended

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.

2. Ensure multi-store tracking: For each locale with a corresponding App Store territory (e.g.,

   ar-SA

   → Saudi Arabia,

   fr-FR

   → France,

   tr

   → Turkey), use

   add_keywords

   to add keyword tracking in that store. Without this,

   search_rankings

   returns empty for non-US stores.

3. 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.

4. Get suggestions: Call

   get_keyword_suggestions

   with the app ID for additional recommendations based on category analysis.

5. Check current rankings: Call

   search_rankings

   to see where the app currently ranks for tracked keywords in each store.

6. Diff against metadata: Compare suggested and competitor keywords against the tokens present in

   subtitle

   ,

   name

   (if available), and

   keywords

   fields from the local metadata.

7. Surface gaps: Report all gaps ranked by popularity score (highest first). Include the source (competitor analysis vs. suggestion).

Cross-Field Combo Strategy

When recommending keyword additions, consider how single words combine across indexed fields (title + subtitle + keywords). For example:

• Adding "namaz" to keywords when "vakti" is already present enables matching the search "namaz vakti" (66 popularity)
• Adding "holy" to keywords when "Quran" is in the subtitle enables matching "holy quran" (58 popularity)

Flag high-value combos in recommendations.

Skip Conditions

• Astro MCP not connected → skip with note: "Connect Astro MCP for keyword gap analysis"
• App not tracked in Astro → skip with note: "Add app to Astro with

  mcp__astro__add_app

  for gap analysis"
• Store not tracked for a locale → add tracking with

  add_keywords

  before querying

Output Format

Present results as a single audit report. The report covers only the latest version directory.

### ASO Audit Report

**App:** [name] | **Primary Locale:** [locale]
**Metadata source:** [path including version number]

#### Field Utilization

| Field | Value | Length | Limit | Usage |
|-------|-------|--------|-------|-------|
| Name | ... | X | 30 | X% |
| Subtitle | ... | X | 30 | X% |
| Keywords | ... | X | 100 | X% |
| Promotional Text | ... | X | 170 | X% |
| Description | (first 50 chars)... | X | 4000 | X% |

#### Offline Checks

| # | Check | Severity | Field | Locale | Detail |
|---|-------|----------|-------|--------|--------|
| 1 | Keyword waste | ⚠️ | keywords | en-US | "quran" duplicated in subtitle |

**Summary:** X errors, Y warnings across Z locales

#### Keyword Gap Analysis (Astro MCP)

| Keyword | Popularity | In Metadata? | Suggested Action |
|---------|-----------|--------------|-----------------|
| quran recitation | 72 | ❌ | Add to keywords |

#### Recommendations

1. [Highest priority action — errors first]
2. [Next priority — keyword waste]
3. [Utilization improvements]
4. [Keyword gap opportunities]

Notes

• Offline checks work without any network access — they read local files only.
• Astro gap analysis is additive — the audit is useful even without it.
• Run this skill after

  asc metadata pull

  to ensure canonical metadata files are current.
• For keyword-only follow-up after the audit, prefer the canonical keyword workflow:

  • asc metadata keywords diff --app "APP_ID" --version "1.2.3" --dir "./metadata"

  • asc metadata keywords apply --app "APP_ID" --version "1.2.3" --dir "./metadata" --confirm

  • asc metadata keywords sync --app "APP_ID" --version "1.2.3" --dir "./metadata" --input "./keywords.csv"

    when importing external keyword research
• After making changes, re-run the audit to verify fixes.
• The Field Utilization table includes promotional text for completeness, but no check validates its content (it is not indexed by Apple).