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amz-attributes-completer

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Chinese

Attributes Completer

属性完善工具

The Seller Central Attributes section is the most important SEO field most sellers ignore. Amazon's AI ranking (Rufus, Alexa+, COSMO) reads attributes before bullets or A+. Most listings fill under 40 percent of available fields. This skill closes that gap with the right values.
卖家中心的属性板块是大多数卖家忽略的最重要SEO字段。亚马逊的AI排名系统（Rufus、Alexa+、COSMO）会先读取属性信息，再看项目符号或A+页面。大多数listing仅填写了不到40%的可用字段。本Skill能帮你填补这一空白，提供合适的属性值。

When to use this

使用场景

  • A new listing being set up and attributes are mostly empty.
  • An old listing where attributes were never revisited.
  • AI search visibility is weak (long-tail queries return competitors).
  • A category template was updated and new fields appeared.
  • 新建listing且属性大多为空时
  • 从未更新过属性的旧listing
  • AI搜索可见性弱（长尾搜索词返回竞品）
  • 分类模板更新后出现新字段时

The framework. The Three-Tier Field Priority

框架：三级字段优先级

Not all attribute fields weigh equally. Fill in this order.
TierFieldsWhy
Tier 1. IdentityMaterial, dimensions, weight, color, size, countHard filters. shoppers narrow by these. AI uses them as facts
Tier 2. Use caseCompatibility, audience, age range, use, occasionDrives long-tail and AI question matching
Tier 3. Compliance and brandCountry of origin, batteries, warnings, brand, manufacturerRequired for some categories. avoids suppression
Within each tier, fill every field the category template offers, even if a value seems obvious from the title. The AI does not read inference. it reads the field.
并非所有属性字段的权重都相同，请按以下顺序填写。
层级字段原因
层级1：身份属性材质、尺寸、重量、颜色、规格、数量硬性筛选条件。买家会通过这些缩小范围。AI将其视为事实依据
层级2：使用场景兼容性、受众、年龄范围、用途、场合驱动长尾搜索及AI问题匹配
层级3：合规与品牌原产国、电池信息、警示说明、品牌、制造商部分分类必填。避免listing被下架
在每个层级内，填写分类模板提供的所有字段，即使某个值从标题中看似显而易见。AI不会进行推断，只会读取字段内容。

Step by step

操作步骤

  1. Collect inputs. The category, current Attributes section snapshot (what's filled vs empty), the product, any spec sheet.
  2. Pull the category template. Identify every available field. categories vary, and the template adds fields over time.
  3. Diff filled vs available. Build the list of empty fields.
  4. Classify each empty field into Tier 1, 2, or 3.
  5. Propose the optimal value for each empty field. Be specific. "Material: Stainless Steel 304", not "Metal".
  6. Prioritize. Tier 1 first, then 2, then 3. Within a tier, by AI search impact.
  7. Flag any field that requires evidence (compliance, certifications). these need source documents before filling.
  8. Run the quality check, then deliver.
  1. 收集输入信息：分类类目、当前属性板块快照（已填写/未填写字段）、商品信息、任何规格表。
  2. 获取分类模板：确定所有可用字段。类目会有所不同，且模板会随时间新增字段。
  3. 对比已填写与可用字段：列出所有空字段。
  4. 对每个空字段分类：划分为层级1、2或3。
  5. 为每个空字段提出最优值：内容要具体。例如填写“材质：304不锈钢”，而非“金属”。
  6. 确定优先级：先填层级1，再填层级2，最后填层级3。同一层级内，按AI搜索影响排序。
  7. 标记需提供证明的字段（合规、认证类）：这些字段在填写前需要原始文件支撑。
  8. 进行质量检查，然后交付结果。

Output format

输出格式

undefined
undefined

Attributes Audit. [ASIN]

属性审核报告. [ASIN]

Category: [category] Filled: [%] Empty fields: [count]
类目：[category] 已填写占比：[%] 空字段数量：[count]

Fill order

填写顺序

Tier 1 (Identity)
  • [field] . current: [empty/value] . proposed: [value] ... Tier 2 (Use case) ... Tier 3 (Compliance and brand) ...
层级1（身份属性）
  • [字段] . 当前状态：[空/已有值] . 建议值：[value] ... 层级2（使用场景） ... 层级3（合规与品牌） ...

Evidence required

需提供证明的字段

[fields that need source documents before filling]
[填写前需要原始文件的字段]

Estimated lift

预估提升效果

[expected AI-search lift from filling Tier 1 + 2]
undefined
[填写层级1+2后，AI搜索排名的预期提升]
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Worked example

实操示例

A kitchen knife listing in Home and Kitchen. Audit shows 9 of 24 category fields filled. Empty Tier 1: blade material, handle material, exact dimensions, weight. Empty Tier 2: handedness, cut type, intended use, knife type, dishwasher safe. Empty Tier 3: country of origin, warranty type.
Plan: fill all Tier 1 fields with specific values (Blade material: VG-10 Damascus steel, not "stainless"). Tier 2 fields with the exact use case wording (Intended use: home cooking, professional chef). Tier 3 last, with documentation where needed. Lift: long-tail queries like "8-inch chef knife Damascus stainless" now match this listing strongly through the AI ranking layer.
家居厨房类的菜刀listing。审核显示24个类目字段中仅填写了9个。层级1空字段：刀刃材质、刀柄材质、精确尺寸、重量。层级2空字段：适用手型、切割类型、用途、刀具类型、是否可洗碗机清洗。层级3空字段：原产国、保修类型。
方案：为所有层级1字段填写具体值（刀刃材质：VG-10大马士革钢，而非“不锈钢”）。层级2字段填写精准的场景描述（用途：家庭烹饪、专业厨师使用）。最后填写层级3字段，必要时提供相关文件。提升效果：像“8英寸大马士革不锈钢厨师刀”这类长尾搜索词，现在能通过AI排名层与该listing实现精准匹配。

Quality check

质量检查

  • Every field is classified into a tier.
  • Tier 1 is filled first, with specific values not generic placeholders.
  • Compliance fields are flagged for evidence before filling.
  • Empty fields are prioritized by AI-search impact, not alphabetical.
  • The estimated lift is realistic, not vague.
  • 所有字段均已划分到对应层级
  • 层级1优先填写，且使用具体值而非通用占位符
  • 合规字段已标记需提前提供证明
  • 空字段按AI搜索影响优先级排序，而非字母顺序
  • 预估提升效果真实合理，而非模糊表述

Common mistakes

常见错误

  • Generic values. "Material: Metal" instead of "Material: Stainless Steel 304". the AI reads specifics.
  • Skipping fields that "feel obvious". The AI does not infer from the title. it reads the field directly.
  • Filling Tier 3 first. Compliance and brand fields are important but lower impact on search than the Tier 1 identity fields.
  • Set and forget. Categories add fields over time. attributes need a quarterly re-audit.
  • 使用通用值：填写“材质：金属”而非“材质：304不锈钢”。AI只会读取具体内容。
  • 跳过“看似显而易见”的字段：AI不会从标题中推断信息，只会直接读取字段内容。
  • 先填层级3字段：合规与品牌字段虽重要，但对搜索排名的影响低于层级1的身份属性字段。
  • 一劳永逸：类目会随时间新增字段，属性需每季度重新审核。

Built by Jay GPT Pro

由Jay GPT Pro开发

Part of Amazon Pro Skills. Production-grade skills for serious Amazon sellers. Free and open. Built by Jay Margaliot.
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属于Amazon Pro Skills系列。为专业亚马逊卖家打造的生产级Skill。免费开源。开发者：Jay Margaliot。
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