Amazon Listing Optimization 📝

Build keyword-optimized listings from scratch, or audit and optimize existing ones. No API key — works out of the box.

Installation

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Two Modes

Mode	When to Use	Input	Output
A — Create	Building a new listing	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
• 8-dimension audit & scoring: Title, bullets, description, images, A+ content, pricing, reviews, SEO coverage
• 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

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Mode A — Create from Competitor ASINs

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Mode A — Create from Keywords + Competitor ASINs

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Mode B — Optimize Existing

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Mode A Workflow — Create Listing from Keywords

Step A1: Collect Keywords

Keywords can come from four sources (use one or combine multiple):

1. 1. From amazon-keyword-research skill (recommended): Run keyword research first, then feed results directly. Install: INLINECODE0
2. 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.
3. From user's keyword list: User pastes their own keyword list (e.g. from Helium 10 Cerebro, Jungle Scout, or manual research)
4. 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:

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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)

Step A3: Collect Product Characteristics

Ask or extract from user input:

• - Product name / type
• Brand name
• Key attributes: Material, color, size, weight, capacity, quantity
• Key features: What makes it different (3-5 features)
• Target audience: Who buys this?
• Use cases: Top 3 scenarios
• What's in the box: Everything included

Step A4: Select Tone

Tone	Style	Best for
Professional	Authoritative, spec-focused, trust-building	Electronics, tools, B2B
Friendly

Conversational, benefit-focused, relatable | Kitchen, lifestyle, gifts | | Urgent | Scarcity-driven, action words, problem-solving | Health, safety, seasonal | | Luxury | Premium, sensory language, exclusivity | Beauty, fashion, premium goods |

Default: Professional if not specified.

Step A5: Generate Listing Copy

Generate each component following these rules:

Title (max 200 characters):

• - Format: INLINECODE3
• Primary keyword as close to the front as possible (after brand)
• No ALL CAPS except brand name
• No promotional claims ("best", "#1", "top rated")
• Include size/color/quantity if relevant to search

Bullet Points (5 bullets, max 500 chars each):

• - Each bullet: INLINECODE4
• Bullet 1: Primary feature + primary keyword
• Bullet 2: Key use case + secondary keyword
• Bullet 3: Quality/material + trust signal
• Bullet 4: What's included / compatibility
• Bullet 5: Guarantee / differentiator / social proof hint
• Each bullet should contain at least 1 target keyword

Description (max 2000 characters):

• - Opening: Problem/pain point the product solves
• Middle: Features → benefits (expand on bullets, don't repeat verbatim)
• Close: Call to action + what's in the box
• Embed remaining keywords not used in title/bullets
• Use line breaks for readability

Step A6: Keyword Coverage Score

After generating, produce a coverage map:

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Scoring:

• - 🟢 90%+ coverage = Excellent
• 🟡 70-89% = Good, minor gaps
• 🔴 <70% = Needs work, significant keywords missing

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Mode B Workflow — Optimize Existing Listing

Step B1: Fetch Listing Data

Run the bundled script:

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Parameters:

• - ASIN (required): e.g. B09V3KXJPB
• INLINECODE6 (optional): us (default), uk, de, fr, it, es, jp, ca, au, in, mx, INLINECODE18

Extracts: Title, brand, price, bullet points, description, image count, A+ content presence, rating, review count, BSR, categories, date first available.

If script returns incomplete data, fall back to web_fetch on the product URL.

Step B2: Discover Target Keywords

If user provides keywords, use those. Otherwise, auto-discover:

1. 1. Extract apparent keywords from current title and bullets
2. Run web_search for site:amazon.com "[product type]" to find competitors
3. Extract keywords from top 3 competitor titles and bullets
4. (Optional) Chain with amazon-keyword-research skill for deeper analysis
5. Compile a combined keyword list with estimated priority

Step B3: Keyword Gap Analysis

Compare current listing against target keywords:

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Step B4: 8-Dimension Audit

Score each on the scale shown, with keyword integration factored in:

Dimension	Max Score	Key Criteria
Title	/15	Primary keyword near front? Brand? Attributes? Under 200 chars? Not truncated on mobile?
Bullet Points

/15 | All 5 used? Benefit-first? Keywords embedded naturally? Under 500 chars each? |
| Images | /15 | 7+ images? White bg main? Infographic? Lifestyle? Size ref? Video? |
| A+ Content | /10 | Present? Brand story? Comparison chart? Lifestyle imagery? |
| Description | /10 | Keywords not in title/bullets? Readable? Problem→solution flow? |
| Pricing | /10 | Competitive? Coupon/deal present? |
| Reviews | /15 | 4.0+ stars? 100+ reviews? Recent reviews positive? |
| SEO Coverage | /10 | 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

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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

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Mode B Output — Audit + Optimized Listing

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Competitive Comparison (if requested)

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Key principles

1. 1. 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.

1. 2. 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.

Integration with amazon-keyword-research

This skill works best when chained with amazon-keyword-research:

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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.

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Part of the Nexscope suite — AI-powered Amazon seller tools.