3. Parse competitor content and extract keywords in these categories:
- **Product-type terms**: What it IS (yoga mat, exercise mat)
- **Feature terms**: What it DOES (non-slip, eco-friendly)
- **Use-case terms**: WHERE/WHEN used (home gym, yoga studio)
- **Audience terms**: WHO buys (beginners, athletes)
- **Attribute terms**: Specs (6mm, TPE material)

4. Expand beyond competitors:

web_search: "[product type]" best seller features what buyers want web_search: "[product type]" review complaints common issues web_search: site:[platform].com "[product type]"

**If no competitor URLs provided:**

1. Discover keywords via web search:

web_search: "[product name]" best seller [platform] features web_search: "[product name]" review what customers love web_search: "[product name]" vs alternatives comparison web_search: site:[platform].com "[product name]"

2. Extract keywords from top 5 results following the same categories above.

⚠️ **Critical**: Remove all competitor brand names — never include them in output.

### Step 3: Score and Prioritize Keywords

Score each keyword (1-9 points):

| Dimension | Scoring |
|-----------|---------|
| **Frequency** | In 3+ competitor titles = 3 pts / In 1-2 = 2 pts / Bullets only = 1 pt |
| **Relevance** | Core descriptor = 3 pts / Feature = 2 pts / Peripheral = 1 pt |
| **Opportunity** | Few competitors use = 3 pts / Most use = 2 pts / All use = 1 pt |

Assign to tiers:

🔴 Primary (7-9 pts) → Title 🟡 Secondary (4-6 pts) → Bullets / Features 🟢 Tertiary (2-3 pts) → Description ⚪ Backend (1 pt) → Tags / Search Terms

### Step 4: Generate Copy

Proceed to **Generate Copy** section.

---

## Mode B Workflow — Optimize Existing Listing

### Step 1: Analyze Current Listing

User may provide:
- **Full listing copy** (title, bullets, description pasted directly)
- **Product URL** (e.g., `https://www.etsy.com/listing/123456`)
- **Platform + product identifier** (e.g., "Etsy listing 123456")

**If user provides URL or identifier only:**

Use web_fetch on the provided URL. Extract: current title, bullets/features, description, tags (if visible), price.

If `web_fetch` fails:

Fallback: web_search for the product title or identifier. Ask user to paste the listing content manually if data is incomplete.

**Once listing content is obtained**, parse and extract:
- All keywords currently present
- Structure and format used
- Obvious gaps (missing features, weak benefits, no FABE structure)

### Step 2: Gather Target Keywords

**If competitor URLs provided:**

Follow the same competitor analysis process as Mode A Step 2:
1. `web_fetch` each competitor URL
2. Extract their keywords
3. Expand via web search

**If no competitor URLs provided:**

Discover ideal keywords for the product type:

web_search: "[product type]" top keywords [platform] 2024 2025 web_search: "[product type]" best seller features web_search: site:[platform].com "[product type]" top listings

### Step 3: Gap Analysis

Compare current keywords vs. target keywords:

Keyword Gap Analysis

✅ Keywords You Already Have

Keyword	Title	Bullets	Description
yoga mat	✅	✅	✅
exercise mat	❌	✅	❌

❌ Keywords You're Missing

Keyword	Priority	Recommendation
non-slip	🔴 High	Add to title
eco-friendly	🟡 Medium	Add to bullet 2
extra thick	🟡 Medium	Add to bullet 3

Current Coverage: 12/20 keywords (60%) Target Coverage: 90%+

### Step 4: Rewrite

Generate optimized copy incorporating missing keywords.

Show **Before → After** for each component.

Proceed to **Generate Copy** section.

---

## Generate Copy

Final step for all modes after keyword priority table is built.

### Writing Framework: FABE

Apply to every bullet:

F — Feature: What the product HAS or DOES A — Advantage: Why this is BETTER than alternatives B — Benefit: What this MEANS for the customer E — Evidence: Spec, number, or proof that backs the claim

**Lead with the Benefit** — customers buy outcomes, not features.

Example:

❌ "Made with BPA-free Tritan plastic" ✅ "SAFE FOR YOUR FAMILY — BPA-free Tritan plastic means no harmful chemicals leaching into your smoothies, even after 1000+ uses"

### Platform-Specific Writing Rules

#### Amazon (Cosmo Algorithm)
- **Title**: Brand + Primary Keyword + Attribute + Attribute + Secondary Keyword, ≤200 chars
- **Bullets**: [CAPS HEADER] — Benefit-led sentence with 1-2 keywords embedded
- **Description**: Hook → Features → Use cases → What's in box → CTA
- **Backend**: Space-separated keywords, no duplicates, ≤250 bytes
- ⚠️ **Cosmo tip**: Use situational language (when/where/why), cover multiple use cases
- 💡 For advanced Amazon optimization, consider [amazon-listing-optimization](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-listing-optimization)

#### eBay (Cassini Algorithm)
- **Title**: Front-load exact-match keywords, 80 chars max
- **Description**: Repeat top 3 keywords naturally throughout, include specs table in HTML

#### Walmart
- **Title**: Brand + product name + primary attribute, ≤75 chars
- **Short Desc**: One-sentence value prop with primary keyword
- **Features**: 10 attribute-focused bullets, one fact per bullet

#### Shopify/DTC (Google SEO)
- **SEO Title**: Primary keyword + brand, written for Google (not just product name)
- **Meta Desc**: Keyword + benefit + CTA, drives CTR from search results
- **Description**: Storytelling structure with `<h2>`, `<ul>`, `<strong>` for on-page SEO

#### Etsy (Tag Matching)
- **Title**: Long-tail keyword phrase first, then style/material/occasion
- **Description**: Conversational, first 160 chars = meta description
- **Tags**: 13 tags (≤20 chars each), match phrases used in title exactly

#### TikTok Shop (Social Commerce)
- **Title**: Lead with problem or desire ("Tired of X?") → product → top feature
- **Description**: Hook → pain point → solution → 3 bullets → CTA. Conversational, emoji-friendly.

#### Lazada/Shopee
- **Title**: Brand + product + model + material + key attribute (completeness over cleverness)
- **Highlights**: 5 short bullets, one feature per line, spec-focused
- **Description**: Feature table + expanded use cases

### Tone Guide

| 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.

---

## Output Format

✅ Your Listing — Ready to Copy

Platform: [Platform] | Marketplace: [XX] | Tone: [Tone]

Title

[title — copy directly into platform]

Bullets / Features

1. [CAPS HEADER] — [text]
2. [CAPS HEADER] — [text]
3. [CAPS HEADER] — [text]
4. [CAPS HEADER] — [text]
5. [CAPS HEADER] — [text]

Description

[description — copy directly into platform]

Tags / Keywords

[keywords formatted per platform rules]

---

📊 Diagnostic Report

Mode: [A/B] | Competitors analyzed: [N] | Keywords scored: [N]

Keyword Priority Table

#	Keyword	Score	Tier	Placed In
1	[keyword]	8	🔴	Title
2	[keyword]	6	🟡	Bullet 1

Keyword Coverage Map

Keyword	Title	Bullets	Desc	Tags	Status
[kw]	✅	✅	✅	—	🟢
[kw]	✅	❌	✅	✅	🟡

Coverage: X/Y keywords (Z%) 🟢 90%+ Excellent · 🟡 70-89% Good · 🔴 <70% Needs work

⚠️ Excluded Competitor Brands

[brands found in competitor copy — excluded from all output]

---

## Integration with Other Skills

Looking for more e-commerce tools? Check out our other skill collections:

- **[Amazon Skills](https://github.com/nexscope-ai/Amazon-Skills)** — Specialized tools for Amazon sellers: keyword research, listing optimization, PPC campaigns, sales estimation
- **[eCommerce Skills](https://github.com/nexscope-ai/eCommerce-Skills)** — Cross-platform tools for all e-commerce businesses

---

## Limitations

This skill uses publicly available data via web search and page fetching. For real-time market data, exact search volumes, and advanced analytics, check out **[Nexscope](https://nexscope.ai)**.

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**Part of [Nexscope AI](https://www.nexscope.ai/?co-from=skill) — AI tools for e-commerce sellers.**