listing-battle

name	listing-battle
description	Stage your Amazon listing vs top 2-3 competitors on a ProductPinion Amazon Search Simulation, get real shoppers to pick favorites + explain why. Use when running `listing-battle {ASIN}`, when evaluating competitive positioning before SERP-attack, or when client wants direct head-to-head shopper data.

listing-battle — Listing vs Top Competitors on Real SERP Mockup

ProductPinion's Amazon Search Simulation lets you stage a SERP — your listing alongside top competitors — and have shoppers tell you which one they'd click and why. The single best signal for "are we winning the SERP".

Prerequisites

• ProductPinion MCP
• Top 2-3 competitor ASINs from competitor-sweep

Invocation

listing-battle {ASIN}                          # auto-pick top 3 competitors
listing-battle {ASIN} --competitors=B0X,B0Y    # specify
listing-battle {ASIN} --shoppers=200
listing-battle {ASIN} --keyword="protein powder for women"   # SERP context

Output

/tmp/cro-content/{ASIN}-listing-battle-{date}.md

Phase 1 — Source Competitors

If not provided, pull from latest competitor-sweep matrix or run it. Pick top 2-3 by SERP rank for the primary keyword.

Phase 2 — Stage the SERP Mockup

ProductPinion Amazon Search Simulation accepts:

• 4 listings (yours + 2-3 competitors)
• Each: image, title, price, rating, review count
• Mobile or desktop simulation (mobile recommended)

Pull each ASIN's title/image/price via SellerApp Get_Product_Details.

Phase 3 — Configure Pinion Test

Test type: Pinion Polls → Amazon Search Simulation

Setup:

• Internal name: {ASIN}-battle-{YYYY-MM-DD}
• Keyword shown above the SERP (for context)
• 4 product cards
• Question: "Which would you click on?" + "Why?"
• Sample: 100-200 shoppers
• Audience: research-brief demographic
• Display: Mobile (default per MASTER-CRO-REFERENCE.md §1: 80%+ browse mobile)

Phase 4 — Analyze

Quantitative:

• % click share per listing
• Statistical confidence

Qualitative themes (group "why" answers):

• Visual clarity
• Title clarity
• Price perception
• Trust (rating + review count)
• Brand recognition
• Stand-out factor

Phase 5 — Output

# Listing Battle — {ASIN} vs Competitors

**Date:** {date} | **Sample:** {N} shoppers | **Keyword context:** "{keyword}"

## SERP Mockup

| Position | Brand | ASIN | % Click Share |
|----------|-------|------|---------------|
| Yours | {brand} | {ASIN} | 28% 🥈 |
| Competitor 1 | ... | ... | 41% 🥇 |
| Competitor 2 | ... | ... | 19% |
| Competitor 3 | ... | ... | 12% |

## Why You Lost / Won

### Why Competitor 1 won (41%)
- "image was clearer" (32%)
- "price felt right for what I'd get" (24%)
- ...

### Why your listing got 28%
- "decent reviews but image was confusing" (18%)
- ...

## Action Items

| Issue | Recommended fix | Skill |
|-------|------------------|-------|
| Image clarity | Refresh main image | `main-image-pipeline` |
| Title brevity | Mobile-truncate test | `copy-split-test` |
| Trust signal | More reviews — outside this skill | (review velocity work) |

Reference Files

• ProductPinion docs — Amazon Search Simulation
• Vault: CRO-Knowledge-Base/01-research/competitor-audit.md
• ~/.claude/skills/cro/main-image-best-practices.md

Quality Bar

• Real SERP simulation (not abstract questions)
• Mobile by default
• Qualitative themes clustered, not just "why" raw text
• Action items per losing dimension

Auto-Triggers

• After competitor-sweep
• serp-attack-plan calls it
• User asks "test my listing vs competitors"