Keywords and/or competitor ASINs + product info + tone
Full listing copy + keyword coverage score
B — Optimize
Improving an existing listing
Your ASIN or URL (+ optional keywords or competitor ASINs)
Optimized listing copy + audit report + gap analysis
Mode A — Three Ways to Start
Input Source
How it Works
Keywords
User provides keyword list → skill prioritizes and generates listing
Competitor ASINs
User provides 1-3 competitor ASINs → skill fetches their listings, extracts their keywords, then generates a listing that covers all their keywords and more
Both
User provides keywords + competitor ASINs → skill merges both sources for maximum coverage
Capabilities
Keyword-driven listing generation: Import keywords (from amazon-keyword-research, manual list, or extracted from competitor ASINs), rank by priority, generate copy that maximizes keyword coverage
Competitor keyword extraction: Fetch competitor listings and automatically extract their title/bullet keywords as your baseline
Keyword coverage tracking: Visual map showing which keywords appear in title / bullets / description / missing
Tone selection: Professional, Friendly, Urgent, Luxury — affects AI copywriting style
Competitive benchmarking: Compare your listing against competitors
Multi-marketplace: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
Usage Examples
Mode A — Create from Keywords
Create a listing for a portable blender. Keywords: portable blender, smoothie maker, USB rechargeable, travel blender, personal blender. Material: BPA-free Tritan. Color: White. Capacity: 380ml. Tone: Friendly.
I have these keywords from my research: [paste keyword list]. Product: silicone kitchen utensil set, 12 pieces, heat resistant to 480°F. Generate a full listing.
Mode A — Create from Competitor ASINs
I want to sell a dog t-shirt on Amazon US. Here are 3 competitors I want to beat: B0D72TSM62, B0ABC12345, B0XYZ67890. My product is 100% cotton, 6 colors, XS-XL, funny print. Analyze their listings and create one that's better. Friendly tone.
Create a listing for my yoga mat. Look at this competitor: B09V3KXJPB. Extract their keywords, find what they're missing, and build a listing that covers more keywords than them. Product: 6mm TPE, non-slip, carrying strap included. Tone: Professional.
Mode A — Create from Keywords + Competitor ASINs
Use amazon-keyword-research to find keywords for "portable blender", also analyze these competitors: B0CPY1GFVZ, B0CXLF3Y19. Combine all keywords and create a listing. Product: 380ml, USB-C, BPA-free Tritan. Tone: Professional.
Mode B — Optimize Existing
Audit the listing for ASIN B0D72TSM62 on Amazon US
Optimize B0D72TSM62 using these keywords: dog shirt, pet clothes, puppy clothing — show me what's missing and rewrite
Optimize my listing B0D72TSM62 by analyzing these competitors: B0ABC12345, B0XYZ67890. Find what keywords they have that I don't, and rewrite my listing to beat them.
Mode A Workflow — Create Listing from Keywords
Step A1: Collect Keywords
Keywords can come from four sources (use one or combine multiple):
From amazon-keyword-research skill (recommended): Run keyword research first, then feed results directly. Install: npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
From competitor ASINs: User provides 1-3 competitor ASINs → run <skill>/scripts/fetch-listing.sh on each → extract keywords from their titles, bullets, and descriptions → use as your keyword baseline. This is the fastest way to start — you inherit what's already working for competitors, then add more.
From user's keyword list: User pastes their own keyword list (e.g. from Helium 10 Cerebro, Jungle Scout, or manual research)
Auto-discover: Use web_search to find top keywords for the product category
When competitor ASINs are provided, always fetch and analyze them first. Extract every meaningful keyword from their titles and bullets, then merge with any user-provided keywords. The goal: cover everything competitors cover, plus keywords they missed.
Step A2: Prioritize Keywords
Organize keywords into tiers:
🔴 Primary (must appear in Title):
- [keyword] — [search volume if known]
- [keyword] — [search volume if known]
🟡 Secondary (must appear in Bullets):
- [keyword]
- [keyword]
🟢 Tertiary (should appear in Description or Backend):
- [keyword]
- [keyword]
⚪ Long-tail (use where natural):
- [keyword phrase]
- [keyword phrase]
Priority rules:
Highest search volume → Title (front-loaded)
Medium volume + high relevance → Bullets (one primary keyword per bullet)
Lower volume / long-tail → Description
Remaining → Backend search terms (advise seller to add in Seller Central)
Primary kw in title+bullets+desc? Long-tail present? No wasted repeats? Keyword coverage %
Step B5: Generate Optimized Copy
Rewrite the listing incorporating missing keywords:
Show before vs after for each component
Highlight which keywords were added and where
Maintain the brand's existing tone unless a different tone is requested
Output Formats
The primary deliverable is always a ready-to-use listing that the seller can copy-paste directly into Seller Central. Diagnostic data (scores, keyword analysis) comes after as supporting evidence.
Mode A Output — New Listing
# ✅ Your Listing — Ready to Use
## Title
[title text — copy this directly into Seller Central]
## Bullet Points
1. [BENEFIT HEADER] — [text with keyword]
2. [BENEFIT HEADER] — [text with keyword]
3. [BENEFIT HEADER] — [text with keyword]
4. [BENEFIT HEADER] — [text with keyword]
5. [BENEFIT HEADER] — [text with keyword]
## Description
[description text — copy this directly into Seller Central]
## Backend Search Terms
[comma-separated keywords to paste into Seller Central → Keywords → Search Terms]
---
# 📊 How We Built This Listing (Diagnostic)
**Marketplace:** Amazon [XX] | **Tone:** [tone] | **Keywords imported:** [count]
**Title characters:** [X]/200 | **Description characters:** [X]/2000
## Keyword Coverage: [X]%
| Keyword | Volume | In Title | In Bullets | In Description | Status |
|---------|--------|----------|------------|----------------|--------|
| [kw] | [vol] | ✅/❌ | ✅/❌ | ✅/❌ | 🟢🟡🔴 |
## Keyword Priority Breakdown
🔴 Primary (Title): [list]
🟡 Secondary (Bullets): [list]
🟢 Tertiary (Description): [list]
⚪ Backend: [list]
Mode B Output — Audit + Optimized Listing
# ✅ Optimized Listing — Ready to Use
## Title
[optimized title — copy this directly into Seller Central]
## Bullet Points
1. [BENEFIT HEADER] — [optimized text]
2. [BENEFIT HEADER] — [optimized text]
3. [BENEFIT HEADER] — [optimized text]
4. [BENEFIT HEADER] — [optimized text]
5. [BENEFIT HEADER] — [optimized text]
## Description
[optimized description — copy this directly into Seller Central]
## Backend Search Terms
[comma-separated keywords to paste into Seller Central → Keywords → Search Terms]
---
# 📊 Audit Report: [ASIN]
**Product:** [title] | **Brand:** [brand]
**Price:** [price] | **Rating:** [stars] ([count] reviews)
## Score: [X/100] → [Y/100] (after optimization)
| Dimension | Before | After | Key Change |
|-----------|--------|-------|-----------|
| Title | /15 | /15 | [what changed] |
| Bullet Points | /15 | /15 | [what changed] |
| Images | /15 | — | [recommendation only] |
| A+ Content | /10 | — | [recommendation only] |
| Description | /10 | /10 | [what changed] |
| Pricing | /10 | — | [observation] |
| Reviews | /15 | — | [observation] |
| SEO Coverage | /10 | /10 | [what changed] |
## Keyword Coverage: [X]% → [Y]%
| Keyword | Before | After | Where Added |
|---------|--------|-------|-------------|
| [kw] | ❌ | ✅ | Title + Bullet 2 |
| [kw] | ✅ Title only | ✅ Title + Bullets | Bullet 4 |
## What Changed (Before → After)
**Title:**
> ❌ [original]
> ✅ [optimized]
**Bullets:**
> ❌ 1. [original]
> ✅ 1. [optimized — added: +[kw1], +[kw2]]
## 🔴 Issues Fixed
1. [what was wrong → how we fixed it]
## 🟡 Recommendations (requires seller action)
1. [image improvements, A+ content, pricing — things the skill can't rewrite]
## 🟢 What Was Already Working
1. [positive aspects preserved]
The seller's workflow is: copy the listing → paste into Seller Central → done. The diagnostic section explains WHY those specific words were chosen, but the listing itself must stand alone as a complete, ready-to-use deliverable. Never output only a report without the actual listing copy.
Output language must match the target marketplace. Amazon US/UK/AU/CA/IN → English. Amazon DE → German. Amazon FR → French. Amazon JP → Japanese. Amazon ES/MX → Spanish. Amazon IT → Italian. Amazon BR → Portuguese. The entire output (listing copy AND diagnostic section) must be in the marketplace language, regardless of what language the user is speaking in the conversation.
Step 1: "Research keywords for portable blender on Amazon US"
→ amazon-keyword-research returns keyword list with volumes
Step 2: "Now create a listing using those keywords. Product: 380ml BPA-free blender, USB-C rechargeable. Tone: Friendly."
→ amazon-listing-optimization Mode A uses the keywords to generate optimized copy
Limitations
This skill uses publicly available data from Amazon product pages. It cannot access backend search terms, exact search volumes, or PPC/conversion data. For deeper analytics, stay tuned for Nexscope — coming soon.
Part of the Nexscope suite — AI-powered Amazon seller tools.
