| name | iblai-marketing-aso-audit |
| description | When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't people downloading my app,' 'improve my app conversion,' 'keyword optimization for app,' or 'compare my app to competitors.' Use when the user shares an App Store or Google Play URL and wants to improve it. |
| globs | null |
| alwaysApply | false |
| metadata | {"version":"1.0.0"} |
/iblai-marketing-aso-audit
Audit App Store and Google Play listings against ASO best practices. Fetches
live listing data, scores metadata / visuals / ratings, and ships a
prioritized action plan.
When to Use
- The user shares an App Store or Google Play URL
- The user asks to audit or optimize an app listing
- The user wants to compare their app against competitors
- The user asks about app store ranking, visibility, or download conversion
Step 0: Context Check
Read .agents/product-marketing-context.md (or .claude/product-marketing-context.md
on older setups) first. Only ask for what isn't there.
Phase 1 — Identify Store & Fetch
Detect Store From URL
Apple: apps.apple.com/{country}/app/{name}/id{digits}
Google: play.google.com/store/apps/details?id={package}
If the user gives a name rather than a URL, search:
site:apps.apple.com "{app name}" or site:play.google.com "{app name}"
Fetch the Listing
Use WebFetch. Extract every available field.
Apple App Store fields:
- App name (title) — 30 char limit
- Subtitle — 30 char limit
- Description (long) — not indexed for search, matters for conversion
- Promotional text — 170 chars, updatable without a new release
- Category (primary + secondary)
- Screenshots (count, order, caption text)
- Preview video (presence, duration)
- Rating (average + count)
- Recent reviews (visible ones)
- Price / in-app purchases
- Developer name
- Last updated date
- Version history notes
- Age rating
- Size
- Languages / localizations listed
- In-app events (if any visible)
Google Play fields:
- App name (title) — 30 char limit
- Short description — 80 char limit
- Full description — 4,000 char limit, IS indexed for search
- Category + tags
- Feature graphic (presence)
- Screenshots (count, order)
- Preview video (presence)
- Rating (average + count)
- Recent reviews (visible ones)
- Price / in-app purchases
- Developer name
- Last updated date
- What's new text
- Downloads range
- Content rating
- Data safety section
- Languages listed
If WebFetch returns incomplete data (stores render client-side), note gaps and work with what's available. Ask the user to paste missing fields if critical.
Visual Asset Assessment
WebFetch can't extract screenshot images or caption text. Take a screenshot of the listing page:
- Navigate to the listing URL and capture a full-page screenshot
- Assess: icon quality, screenshot count, caption text, messaging, preview-video presence, feature graphic (Google Play)
- If browser tools aren't available, ask the user to share a screenshot
Promotional text (Apple): This 170-char field appears above the description but is often indistinguishable from it in scraped HTML. If you can't confirm presence, note it and recommend the user check App Store Connect.
Phase 1.5 — Assess Brand Maturity
Classify the app into a tier before scoring. A deliberate brand choice by a household name isn't the same as a missed opportunity by an unknown app.
Tier Definitions
| Tier | Signals | Examples |
|---|
| Dominant | Household name, 1M+ ratings, top-10 in category, near-universal brand recognition. Users search by brand name, not generic keywords. | Instagram, Uber, Spotify, WhatsApp, Netflix |
| Established | Well-known in their category, 100K+ ratings, strong organic installs, recognized brand but not universally known. | Strava, Notion, Duolingo, Cash App, Calm |
| Challenger | Building awareness, <100K ratings, needs discovery through keywords and ASO tactics. Most apps fall here. | Your app, most indie/startup apps |
How Tier Affects Scoring
Dominant apps get adjusted scoring in these areas:
- Title: Brand-only or brand-first titles are valid (score 8+ if brand is the keyword). They don't need generic keyword discovery.
- Description: Score on conversion quality, not keyword presence. A well-crafted brand description beats a keyword-stuffed one when the app is a household name.
- Visual Assets: Lifestyle/brand photography instead of UI demos is a legitimate conversion strategy. No video is acceptable if the product is hard to demo in 30s or brand awareness is near-universal.
- What's New: Generic release notes at weekly+ cadence are acceptable (score 8+). At scale, detailed changelogs have minimal ROI and risk backlash.
- In-app events: Missing events for utility apps with massive install bases (Uber, WhatsApp) isn't a penalty. They don't need discovery help.
- Localization: Score relative to actual market, not absolute count. A US-only fintech with 2 languages (English + Spanish) is appropriately localized.
Established apps get partial adjustment:
- Brand-first titles are fine but should still include 1-2 keywords
- Strategic description choices get benefit of the doubt
- Other dimensions scored normally
Challenger apps are scored strictly against textbook ASO best practices — every character, screenshot, and keyword matters.
Key principle: Before docking points, ask: "Is this a mistake or a deliberate choice by a team with data I don't?" If the app has 1M+ ratings and a dedicated ASO team, assume choices are data-informed unless clearly wrong.
Phase 2 — Score Each Dimension
Score each dimension 0-10 using the criteria in references/scoring-criteria.md. Apply tier adjustments from Phase 1.5.
Reference files for platform specs and benchmarks:
references/apple-specs.md — Apple character limits, screenshot/video specs, CPP/PPO rules, rejection triggersreferences/google-play-specs.md — Google Play limits, screenshot specs, Android Vitals thresholds, policiesreferences/benchmarks.md — Conversion data, rating impact, video lift, screenshot behavior, CPP/event benchmarks
Dimensions and Weights
| # | Dimension | Weight | What It Covers |
|---|
| 1 | Title & Subtitle | 20% | Character usage, keyword presence, clarity, brand + keyword balance |
| 2 | Description | 15% | First 3 lines, keyword density (Google), CTA, structure, promotional text |
| 3 | Visual Assets | 25% | Screenshot count/quality/messaging, video, icon, feature graphic |
| 4 | Ratings & Reviews | 20% | Average rating, volume, recency, developer responses |
| 5 | Metadata & Freshness | 10% | Category choice, update recency, localization count, data safety |
| 6 | Conversion Signals | 10% | Price positioning, IAP transparency, social proof, download range |
Final score = weighted sum, out of 100.
Score Interpretation
| Score | Grade | Meaning |
|---|
| 85-100 | A | Well-optimized; focus on A/B testing and iteration |
| 70-84 | B | Good foundation; clear opportunities to improve |
| 50-69 | C | Significant gaps; prioritized fixes will have high impact |
| 30-49 | D | Major optimization needed across multiple dimensions |
| 0-29 | F | Listing needs a complete overhaul |
Phase 3 — Competitor Comparison (Optional)
If the user supplies competitor URLs or asks for comparison:
- Fetch 2-3 top competitors in the same category
- Run the same scoring on each
- Build a comparison table flagging where the user's app is weaker/stronger
- Identify keyword gaps — terms competitors rank for that the user's app doesn't target
If no competitors are specified, ask for 2-3 or offer to search the top of their category.
Phase 4 — Generate Report
Use the template in references/report-template.md.
The report must include:
- Score card — table with all 6 dimensions, scores, and grade
- Top 3 quick wins — changes that take <1 hour and have highest impact
- Detailed findings — per-dimension breakdown with specific issues and fixes
- Keyword suggestions — based on title/description analysis and competitor gaps
- Visual asset recommendations — specific screenshot/video improvements
- Priority action plan — ordered list of changes by impact vs effort
Report Rules
- Every recommendation is specific and actionable — "Change subtitle from X to Y," not "Improve subtitle"
- Include character counts for all text recommendations
- Flag platform-specific differences (Apple vs Google) when relevant
- Note what CANNOT be assessed without paid tools (search volume, exact rankings)
- When suggesting keyword changes, explain WHY each one matters
Platform-Specific Rules
Apple App Store — Key Facts
- Title (30 chars) + Subtitle (30 chars) + Keyword field (100 bytes, hidden) = indexed text
- Keywords field is bytes not chars — Arabic/CJK use 2-3 bytes per char
- Long description is NOT indexed for search — optimize for conversion only
- Promotional text (170 chars) does NOT affect search (Apple confirmed)
- Never repeat words across title/subtitle/keyword field (Apple indexes each word once)
- Keyword field: commas, no spaces (
photo,editor,filter, not photo, editor, filter)
- Screenshots: up to 10 per device. First 3 visible in search — 90% never scroll past 3rd
- Screenshot captions indexed since June 2025 (AI extraction)
- In-app events: max 10 published at once, max 31 days each. Indexed and appear in search
- Custom Product Pages (up to 70) in organic search since July 2025. +5.9% avg conversion lift
- App preview video: up to 3, 15-30s each. Autoplays muted — +20-40% conversion lift
- SKStoreReviewController: max 3 prompts per 365 days
- Apple has human editorial curation — quality and design matter more
- Full specs and rejection triggers:
references/apple-specs.md
Google Play — Key Facts
- Title (30 chars) + Short description (80 chars) + Full description (4,000 chars) = indexed text
- Full description IS indexed — target 2-3% keyword density naturally
- No hidden keyword field — every keyword lives in visible text
- Google NLP/semantic understanding — keyword stuffing detected and penalized
- Prohibited in title: emojis, ALL CAPS, "best"/"#1"/"free", CTAs (enforced since 2021)
- Screenshots: min 2, max 8 per device (not 10 like Apple)
- Feature graphic (1024x500, exact) required for featured placements
- Video does NOT autoplay — only ~6% of users tap play (low ROI vs iOS)
- Android Vitals directly affect ranking: crash >1.09% or ANR >0.47% = reduced visibility
- Promotional Content: submit 14 days early for featuring. Apps see 2x explore acquisitions
- Custom Store Listings: up to 50 (target churned users, specific countries, ad campaigns)
- Store Listing Experiments: test up to 3 variants, run 7+ days, 1 experiment at a time
- Full specs and policy details:
references/google-play-specs.md
What Apple Indexes vs What Google Indexes
| Field | Apple Indexed? | Google Indexed? |
|---|
| Title | Yes | Yes (strongest signal) |
| Subtitle / Short desc | Yes | Yes |
| Keyword field | Yes (hidden) | Does not exist |
| Long description | No | Yes (heavily) |
| Screenshot captions | Yes (since 2025) | No |
| In-app events | Yes | N/A (LiveOps instead) |
| Developer name | No | Partial |
| IAP names | Yes | Yes |
Common Issues Checklist
Items marked (tier-dependent) should be evaluated against the app's tier — they may be deliberate choices for Dominant apps.
Always flag (all tiers):
Flag for Challenger/Established only (not mistakes for Dominant apps):
Flag for all tiers but note context:
Task-Specific Questions
- What is the App Store or Google Play URL?
- Is this your app or a competitor's?
- What category does the app compete in?
- Do you have competitor URLs to compare against?
- Focused on search visibility, conversion rate, or both?
- Do you have access to App Store Connect or Google Play Console data?
Related Skills
- iblai-marketing-page-cro: For optimizing web-based landing pages that drive app installs
- iblai-marketing-ad-creative: For App Store and Google Play ad creatives
- iblai-marketing-analytics-tracking: For install attribution and in-app event tracking
- iblai-marketing-customer-research: For user needs and language that inform listing copy
