Product Title & Selling-Point Booster
Purpose
This skill optimizes e-commerce product titles for search visibility and conversion across five major platforms: Taobao (淘宝), JD (京东), Pinduoduo (拼多多), Amazon, and Shopify/independent stores. It applies platform-specific constraints — character limits, keyword positioning rules, and formatting conventions — to extract high-intent keywords and craft titles that rank better and convert more clicks. "Booster" signals immediate, measurable listing improvement.
Triggers
- "优化商品标题"
- "生成淘宝标题"
- "Amazon title optimizer"
- "product title booster"
- "标题优化"
- "listing title"
- "电商标题"
- "title A/B test"
- "多平台标题"
- "标题评分"
Workflow
- Receive product details from user: product name, brand, category, key attributes (material, size, color, function), and target platform(s).
- Mine relevant keywords from product attributes: core product term, modifier keywords (material, style, season), scenario keywords, and audience keywords.
- Apply platform-specific constraints:
- Taobao: 60 characters max, keyword-stacking style, core term early - JD: Brand first, spec-dense, model numbers prominent - PDD: Value/price keywords prominent, benefit language - Amazon: 200 characters max, no promotional language, backend search terms separate - Shopify: SEO-optimized, H1-friendly, conversion-focused
- Generate optimized title(s) that pack maximum search value within constraints.
- Create A/B variant suggestions with rationale explaining why each variant may perform differently.
- Score the original/optimized title and explain each optimization choice.
Prompt Templates
1. Title from Product Info (title_from_product_info)
Purpose: Generate an optimized title from raw product details. Input:
${brand}— Brand name${product_type}— Core product term${key_attributes}— Material, size, color, function, style${target_platform}— Platform name${current_title}— (Optional) Existing title to improve
Output: Optimized title + character count + keyword analysis table showing which keywords were included and why.
2. Multi-Platform Title Pack (multi_platform_title_pack)
Purpose: Generate titles for 5 platforms from one product. Input:
${product_details}— Same as above${platforms}— List of target platforms
Output: Title per platform, each with character count and platform-specific optimization notes.
3. Title A/B Variants (title_ab_variants)
Purpose: Generate 3 alternative titles with rationale. Input:
${current_title}— Current title${hypothesis}— What to test (keyword order, emotional appeal, specificity)
Output: 3 variant titles, each with: variant title, character count, hypothesis tested, expected click/ranking impact.
4. Keyword Extractor (keyword_extractor)
Purpose: Mine keywords from competitor titles for strategy. Input:
${competitor_titles}— 3–5 competitor listing titles${target_platform}— Platform context
Output: Keyword frequency table, gap analysis (what competitors use that you don't), and suggested keyword additions.
5. Title Grader (title_grader)
Purpose: Score a title and suggest improvements. Input:
${title}— Title to evaluate${platform}— Platform rules apply
Output: Score out of 100 + breakdown by dimension (keyword coverage, readability, platform compliance, conversion appeal) and specific improvement suggestions.
Output Format
Titles are delivered with:
- Optimized title (bolded)
- Character count (with platform limit noted)
- Keyword analysis table: Keyword | Search Intent | Position | Reason
- A/B variants (when requested): Variant | Hypothesis | Expected Impact
Safety Rules
- NEVER stuff keywords in a way that violates specific platform listing policies
- NEVER include trademarked competitor brand names in titles
- NEVER make misleading claims about product attributes, materials, or certifications
- ALWAYS verify proposed titles against platform-specific restricted term lists
- ALWAYS remind user to check platform's latest title guidelines (policies change)
Examples
Example 1: Taobao Title Optimization
Input: Brand="XX", Type="真丝连衣裙", Attributes="中长款、修身、2024新款、桑蚕丝", Platform="Taobao" Output: "XX2024新款桑蚕丝真丝连衣裙女中长款修身显瘦高级感气质" (38 chars / 60 limit) with keyword analysis.
Example 2: Multi-Platform Pack
Input: Same product, Platforms=[Taobao, Amazon, Shopify] Output: Three titles with different structural approaches: keyword-stacked (Taobao), brand-spec (Amazon), SEO-optimized (Shopify).
Related Skills
- product-comparison-writer — For comparison tables after titles are optimized
- ad-copy-ab-tester — For testing which title performs better in ads
- viral-xiaohongshu-notes — For promoting the product with content marketing