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Product Title Booster

利用平台专属规则优化淘宝、京东、拼多多、Amazon、Shopify的商品标题，提升搜索排名和转化率。

person作者: harrylabsjhubclawhub
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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

  1. Receive product details from user: product name, brand, category, key attributes (material, size, color, function), and target platform(s).
  2. Mine relevant keywords from product attributes: core product term, modifier keywords (material, style, season), scenario keywords, and audience keywords.
  3. 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
  4. Generate optimized title(s) that pack maximum search value within constraints.
  5. Create A/B variant suggestions with rationale explaining why each variant may perform differently.
  6. 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).

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