Amazon listing builder and optimizer for sellers. Two modes: (A) Create — build keyword-optimized listings from scratch using keyword lists + product characteristics + AI copywriting, (B) Optimize — audit existing listings, find keyword gaps, score across 8 dimensions, and rewrite with missing keywo

Amazon Listing Optimization 📝 Build keyword optimized listings from scratch, or audit and optimize existing ones. No API key — works out of the box. Installation 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 Mode A — Create from Competitor ASINs Mode A — Create from Keywords + Competitor ASINs Mode B — Optimize Existing Mode A Workflow — Create Listing from Keywords Step A1: Collect Keywords Keywords can come from four sources (use one or combine multiple): 1. From [amazon keyword research](https://github.com/nexscope ai/Amazon Skills/tree/main/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 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: 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: [Brand] + [Primary Keyword] + [Key Attribute 1] + [Key Attribute 2] + [Secondary Keyword] + [Differentiator] 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: [BENEFIT HEADER IN CAPS] — [Benefit explanation with keyword naturally embedded] 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: Scoring: 🟢 90%+ coverage = Excellent 🟡 70 89% = Good, minor gaps 🔴 <70% = Needs work, significant keywords missing Mode B Workflow — Optimize Existing Listing Step B1: Fetch Listing Data Run the bundled script: Parameters: ASIN (required): e.g. B09V3KXJPB marketplace (optional): us (default), uk , de , fr , it , es , jp , ca , au , in , mx , br 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. 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: 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 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 Mode B Output — Audit + Optimized Listing Competitive Comparison (if requested) Key principles 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. 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](https://github.com/nexscope ai/Amazon Skills/tree/main/amazon keyword research): 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, check out [Nexscope](https://www.nexscope.ai/?co from=skill) — Your AI Assistant for smarter E commerce decisions. Built by [Nexscope](https://www.nexscope.ai/?co from=skill) — research, validate, and act on e commerce opportunities with AI.

amazon-listing-optimization