linkfox-product-title-analyze

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Product Title Analyzer

产品标题分析工具

This skill guides you on how to tokenize and analyze product titles from previously queried products, helping Amazon sellers extract keyword patterns, scene words, audience words, and other attribute dimensions from product listing titles.

此技能将指导你对之前查询到的产品标题进行分词和分析，帮助亚马逊卖家从产品Listing标题中提取关键词模式、场景词、人群词及其他属性维度。

Core Concepts

核心概念

Product Title Analysis performs intelligent tokenization on product titles that have already been retrieved in the current conversation. It uses LLM-powered analysis to extract structured attributes (scene words, audience words, materials, colors, etc.) from free-text titles, then groups and counts them for pattern discovery.

Automatic data aggregation: The tool automatically collects products from all prior steps in the current conversation turn -- even across paginated queries. You do NOT need to manually pass product data unless you are referencing data from a previous conversation turn.

One dimension per request: Each call should analyze exactly ONE attribute dimension (e.g., scene words OR audience words). Do NOT request multiple dimensions in a single call.

产品标题分析会对当前对话中已获取的产品标题进行智能分词。它借助LLM驱动的分析，从自由文本标题中提取结构化属性（场景词、人群词、材质、颜色等），然后对这些属性进行分组和统计，以发现规律。

自动数据聚合：该工具会自动收集当前对话轮次中所有先前步骤的产品数据——即使是分页查询的数据。除非你要引用之前对话轮次的数据，否则无需手动传递产品数据。

单次请求单维度：每次调用应仅分析一个属性维度（例如：场景词或人群词）。请勿在单次请求中同时分析多个维度。

Data Fields

数据字段

Request Fields

请求字段

Field	API Name	Required	Description	Example
Analysis Request	tokenizationAndCountingRequest	Yes	Natural-language instruction describing which attribute dimension to extract from titles	"Count scene words in product titles"
Output Mode	outputMode	No	How multi-value attributes are returned. `MULTIPLE_RECORDS` (default): one record per value. `COMMA_SEPARATED` : all values in one record	MULTIPLE_RECORDS
Reference Data	refResultData	No	Externally supplied product data (only needed when referencing data from a previous conversation turn)	(JSON string)

字段	API名称	是否必填	描述	示例
分析请求	tokenizationAndCountingRequest	是	描述要从标题中提取哪个属性维度的自然语言指令	"Count scene words in product titles"
输出模式	outputMode	否	多值属性的返回方式。 `MULTIPLE_RECORDS` （默认）：每个值对应一条记录。 `COMMA_SEPARATED` ：所有值在一条记录中用逗号分隔	MULTIPLE_RECORDS
参考数据	refResultData	否	外部提供的产品数据（仅当引用之前对话轮次的数据时需要）	(JSON字符串)

Response Fields -- Product Attributes

响应字段 -- 产品属性

Field	API Name	Description	Example
ASIN	asin	Product ASIN identifier	B0XXXXXXXX
Product Title	title	Original product title	Portable Camping Lantern...
Attribute Name	attributeName	Extracted attribute category	Scene Word
Attribute Value	attributeValue	Extracted attribute value	Outdoor / Camping
Price	price	Product price	29.99
Monthly Sales	monthlySalesUnits	Monthly unit sales	1200
Monthly Revenue	monthlySalesRevenue	Monthly sales revenue	35988
Rating	rating	Product rating	4.5
Rating Count	ratings	Number of ratings	3820
Available Date	availableDate	Listing date	2024-03-15
Brand	brand	Brand name	BrandX
Image URL	imageUrl	Main product image	https://...

字段	API名称	描述	示例
ASIN	asin	产品ASIN标识符	B0XXXXXXXX
产品标题	title	原始产品标题	Portable Camping Lantern...
属性名称	attributeName	提取的属性类别	Scene Word
属性值	attributeValue	提取的属性值	Outdoor / Camping
价格	price	产品价格	29.99
月销量	monthlySalesUnits	月度销售数量	1200
月销售额	monthlySalesRevenue	月度销售营收	35988
评分	rating	产品评分	4.5
评分数量	ratings	评分总数	3820
上架日期	availableDate	Listing上架日期	2024-03-15
品牌	brand	品牌名称	BrandX
图片URL	imageUrl	产品主图链接	https://...

Response Fields -- Attribute Groups

响应字段 -- 属性分组

Field	API Name	Description
Attribute Name	attributeName	The attribute category for this group (e.g., "Scene Word")
Attribute Value	attributeValue	A specific value within the group (e.g., "Outdoor")
Count	count	Number of products sharing this attribute value
ASIN List	asins	List of ASINs that share this attribute value

字段	API名称	描述
属性名称	attributeName	此分组的属性类别（例如："Scene Word"）
属性值	attributeValue	分组内的具体值（例如："Outdoor"）
数量	count	拥有该属性值的产品数量
ASIN列表	asins	拥有该属性值的ASIN列表

Response Metadata

响应元数据

Field	API Name	Description
Render Type	type	UI rendering style
Columns	columns	Column definitions for table rendering
Source Type	sourceType	Data source type
Token Cost	costToken	Total LLM tokens consumed (input + output)

字段	API名称	描述
渲染类型	type	UI渲染样式
列定义	columns	表格渲染的列定义
数据源类型	sourceType	数据源类型
Token消耗	costToken	消耗的LLM总Token数（输入+输出）

Parameter Guide

参数指南

tokenizationAndCountingRequest Examples

tokenizationAndCountingRequest示例

The

tokenizationAndCountingRequest

parameter is a natural-language instruction telling the tool which dimension to analyze. Keep it focused on a single dimension.

Scene words (where / when the product is used)

Count scene words appearing in product titles

Audience / target-user words (who the product is for)

Count audience words appearing in product titles

Material words

Count material-related words appearing in product titles

Function / feature words

Count function or feature words appearing in product titles

Incorrect -- multiple dimensions in one request (do NOT do this)

Count scene words AND audience words in product titles

Split this into two separate calls instead.

tokenizationAndCountingRequest

参数是告诉工具要分析哪个维度的自然语言指令，请聚焦于单一维度。

场景词（产品使用的地点/时间）

Count scene words appearing in product titles

人群/目标用户词（产品面向的人群）

Count audience words appearing in product titles

材质词

Count material-related words appearing in product titles

功能/特性词

Count function or feature words appearing in product titles

错误示例——单次请求包含多个维度（请勿这样做）

Count scene words AND audience words in product titles

请将其拆分为两次单独调用。

outputMode

Value	Behavior	When to Use
MULTIPLE_RECORDS	Each attribute value becomes its own record (default)	Most analysis -- easier to count, sort, and group
COMMA_SEPARATED	Multiple values stay in one record, comma-separated	When you want to see all attributes per ASIN at a glance

值	行为	使用场景
MULTIPLE_RECORDS	每个属性值对应一条单独记录（默认）	大多数分析场景——便于统计、排序和分组
COMMA_SEPARATED	多个值保留在同一条记录中，用逗号分隔	希望快速查看每个ASIN的所有属性时

Display Rules

展示规则

Present data in tables: Show extracted attributes and their frequencies in clear, sortable tables
Highlight top keywords: Call out the most frequent attribute values so patterns are immediately visible
Group summary first: When
```
attributeGroups
```
is returned, present the grouped summary before the per-product detail
One dimension at a time: If the user wants multiple dimensions analyzed, run separate calls and present results sequentially
Token cost awareness: The response includes
```
costToken
```
; do not display it unless the user asks about usage
Error handling: If the tool returns an error, explain the reason and suggest corrective action (e.g., "No products found in current conversation -- please query products first")

以表格形式呈现数据：将提取的属性及其频率以清晰、可排序的表格展示
高亮热门关键词：突出显示出现频率最高的属性值，以便立即发现规律
先展示分组汇总：当返回
```
attributeGroups
```
时，先展示分组汇总数据，再展示单产品明细
一次分析一个维度：如果用户需要分析多个维度，请进行多次调用并依次展示结果
Token消耗提示：响应中包含
```
costToken
```
，除非用户询问使用情况，否则无需展示
错误处理：如果工具返回错误，请解释原因并建议纠正措施（例如："当前对话中未找到产品——请先查询产品"）

Applicable Scenarios

适用场景

User Says	Scenario
"What scene words appear in these titles?"	Scene-word extraction
"Analyze title keywords", "title word frequency"	General title tokenization
"What audience are these products targeting?"	Audience-word extraction
"Common materials in these listings"	Material-word extraction
"Help me optimize my title based on competitors"	Competitive title keyword analysis
"What words do top sellers use in titles?"	High-frequency keyword discovery
"Group these products by title attributes"	Attribute-based product grouping

用户表述	场景
"这些标题里有哪些场景词？"	场景词提取
"分析标题关键词"、"标题词频"	通用标题分词
"这些产品针对的是哪些人群？"	人群词提取
"这些Listing中的常见材质"	材质词提取
"帮我根据竞品优化我的标题"	竞品标题关键词分析
"头部卖家在标题中使用了哪些词？"	高频关键词挖掘
"根据标题属性对这些产品分组"	基于属性的产品分组

Not Applicable Scenarios

不适用场景

No products queried yet: The tool requires products to already exist in the conversation context. Prompt the user to search for products first.
Advertising / PPC keyword suggestions: This tool analyzes existing titles, not ad keywords.
Full listing copywriting: This tool extracts and counts words; it does not generate new titles.
Backend search term analysis: This is for visible title analysis, not hidden search terms.
ABA search term data: Use the ABA Data Explorer skill instead.

尚未查询产品：该工具需要对话上下文已存在产品数据。请提示用户先搜索产品。
广告/PPC关键词建议：此工具分析现有标题，而非广告关键词。
完整Listing文案撰写：此工具仅提取和统计词汇，不生成新标题。
后台搜索词分析：此工具用于可见标题分析，而非隐藏搜索词。
ABA搜索词数据：请使用ABA Data Explorer技能。

API Usage

API使用说明

This tool calls the LinkFox tool gateway API. See

references/api.md

for calling conventions, request parameters, and response structure. You can also execute

scripts/title_analyze.py

directly to run queries.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

The functionality or purpose described in this skill does not match actual behavior
The skill's results do not match the user's intent
The user expresses dissatisfaction or praise about this skill
Anything you believe could be improved

Call the feedback API as specified in

references/api.md

. Do not interrupt the user's flow.

For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.

此工具调用LinkFox工具网关API。调用规范、请求参数和响应结构请参考

references/api.md

。你也可以直接执行

scripts/title_analyze.py

来运行查询。

反馈：

当出现以下任意情况时，请自动检测并通过Feedback API提交反馈：

本技能描述的功能或用途与实际行为不符
技能结果与用户意图不符
用户表达了对本技能的不满或赞扬
任何你认为可以改进的地方

请按照

references/api.md

中的说明调用反馈API，请勿中断用户的操作流程。

如需更多高质量、专业的跨境电商技能，请访问LinkFox Skills。