| name | listing-quality-audit |
| description | Run SellerApp's Listing Quality Index (LQI) across an ASIN portfolio (up to 100 ASINs per request) to surface section-level issues — title, bullets, description, images, videos, Q&A, ratings, reviews. Outputs a triage list ranked by lowest score. Use when running `listing-quality-audit {ASIN1,ASIN2,...}`, when onboarding a new client (LQI sweep across catalog), or when picking which ASINs need urgent fixes. |
listing-quality-audit — Portfolio LQI Sweep
LQI scores every section of a listing against Amazon best practices, returning a numeric score per section + an overall total. Best for onboarding a new client with a 20-100 ASIN catalog: surface the worst offenders fast.
Invocation
listing-quality-audit {ASIN1,ASIN2,B0...}
listing-quality-audit --portfolio={path-to-asin-list.csv}
listing-quality-audit {ASIN} # single-ASIN deep dive
Output
/tmp/cro-research/lqi-audit-{date}.md — sortable triage list + per-ASIN section detail for the bottom 5.
Tools Used
n8n MCP wrapper.
| Step | Tool | Purpose |
|---|
| Schedule | LQI request endpoint | Submits batch — returns request_id |
| Poll | Fetch_LQI-Report (poll until complete) | Retrieve results — ~5-10 min for 100 ASINs |
Phase 1 — Submit
Batch request for all ASINs (max 100 per call). Save the request_id.
Phase 2 — Poll
Poll Fetch_LQI-Report with request_id every 60s. Show user a wait estimate.
Phase 3 — Parse
For each ASIN, parse the 8 LQI sections:
- Title Analysis
- Bullet Points Analysis
- Description Analysis
- Image Analysis
- Videos Analysis
- Q&A Analysis
- Ratings Analysis
- Review Analysis
Each has its own score. Total = aggregate.
Phase 4 — Build Triage List
Sort ASINs by total score (ascending = worst first). For the bottom 5:
- List the 2-3 weakest sections
- Cross-reference with
04-data-analysis/metric-to-action-framework.md to suggest the right fix:
- Low Image Analysis →
main-image-pipeline or lifestyle-stack-generator
- Low Title/Bullet →
copy-split-test
- Low Q&A →
rufus-answer-pack
- Low Reviews → cannot fix directly; flag for review-velocity work
Phase 5 — Output
# Listing Quality Audit — Portfolio
**Date:** {date} | **ASINs scanned:** {N} | **Avg score:** {score} | **Median:** {score}
## Data Sources
| Source | Records | Status |
|---|---|---|
| LQI scheduled | {N} ASINs | ✅ |
| Reports retrieved | {N} | ✅ |
## Portfolio Triage (sorted, worst first)
| Rank | ASIN | Title | Total | Title | Bullets | Desc | Images | Video | Q&A | Ratings | Reviews | Recommended Fix |
|------|------|-------|-------|-------|---------|------|--------|-------|-----|---------|---------|------------------|
| 1 | B0... | ... | 42/100 | 8 | 4 | 6 | 3 | 0 | 5 | 8 | 8 | `main-image-pipeline` + `aplus-module-generator` |
| 2 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
## Bottom 5 — Detailed View
### 1. {ASIN} — {Title} (LQI {score}/100)
- **Title:** {LQI-flagged issue}
- **Bullets:** {issue}
- **Images:** {issue}
- **Recommended skill chain:** {ordered list}
### 2. ...
## Recommended Workflow
Tackle bottom 5 in score order — each is highest opportunity-size for that catalog. Use `/cro-priority-tracker` to layer in revenue weighting if you have SQP/sessions data.
Reference Files
- Vault:
CRO-Knowledge-Base/04-data-analysis/metric-to-action-framework.md
~/.claude/skills/cro/sellerapp-api.md (LQI endpoint detail)~/.claude/skills/cro/data-analysis.md (how to combine LQI + revenue for true priority)
Quality Bar
Common Mistakes
- ❌ Treating LQI score as ground truth — it scores compliance, not conversion. A 90 LQI listing can still convert poorly. Pair with sessions/CVR data.
- ❌ Running on 1 ASIN when you have 50 (waste — schedule the batch)
- ❌ Not following up with the actual fixes — the audit is the start, not the end
Auto-Triggers
- User asks "audit our portfolio" / "which ASINs need work" / "LQI sweep"
- New client onboarding workflow
- Quarterly portfolio review
