Jungle Scout-关键词声量份额

Jungle Scout — 关键词市场份额 Share of Voice

This skill queries Share of Voice (SOV) data for Amazon keywords via the Jungle Scout data source, returning brand visibility distribution across the first 3 pages of search results, along with search volume, PPC bid estimates, and top ASIN click/conversion metrics across 10 Amazon marketplaces.

Core Concepts

Share of Voice measures how much of the search results real estate a brand occupies for a given keyword. Jungle Scout analyzes the first 3 pages of Amazon search results and calculates each brand's presence in three dimensions:

• Organic SOV: Brand visibility from organic (non-sponsored) search result positions
• Sponsored SOV: Brand visibility from sponsored/advertising placements
• Combined SOV: Overall brand visibility merging both organic and sponsored results

Each dimension has two calculation methods:

• Basic SOV: Simple product count ratio — number of a brand's products ÷ total products on the 3 pages
• Weighted SOV: Position-adjusted ratio that gives higher weight to top positions and factors like Amazon's Choice badge; this is the more meaningful metric for competitive analysis

The tool also returns:

• 30-day exact search volume: Total estimated searches in the past 30 days
• PPC bid median: Median suggested bid for this keyword, useful for advertising cost estimation
• TOP3 ASIN click & conversion data: The top 3 ASINs by clicks, with click count, conversion count, and conversion rate

Data Fields

brands (Brand SOV Breakdown)

topAsins (TOP 3 ASIN Click & Conversion)

Top-Level Summary Fields

Supported Marketplaces

us (United States), uk (United Kingdom), de (Germany), in (India), ca (Canada), fr (France), it (Italy), es (Spain), mx (Mexico), jp (Japan)

Default marketplace is us. Use us when the user doesn't specify a marketplace.

调用方式

• API 端点：POST /tool-jungle-scout/keywords/share-of-voice（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/junglescout_keyword_sov.py '' [--inline]
• 成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

输出策略（脚本默认行为）：

• 始终将完整响应写入 /linkfox///data/linkfox-junglescout-keyword-share-of-voice-.json（ 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）
• 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
• 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本）
• 加 --inline 强制全量打印到 stdout（同样落盘）

读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

解决认证和积分问题

发生以下异常情况时，采用 references/onboarding.md 引导解决问题：

异常情况

• 未配置API Key：环境变量未配置 LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
• 响应401或402状态码
• 响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

How to Build Queries

Only two parameters are needed: marketplace and keyword.

Principles for Building API Calls

1. Marketplace mapping: "美国站" → us, "日本站" → jp, "德国站" → de; default to us when unspecified
2. Keyword: Pass the user's keyword as-is (lowercase English preferred)
3. One keyword per call: Each request analyzes one keyword; for multi-keyword comparison, make separate calls

Common Query Scenarios

1. Brand dominance check — Who owns this keyword?

{
  "marketplace": "us",
  "keyword": "portable charger"
}

Focus on combinedWeightedSov to see which brands dominate the search results page.

2. PPC competitive analysis — Is this keyword worth bidding on?

{
  "marketplace": "us",
  "keyword": "wireless earbuds"
}

Compare exactSuggestedBidMedian with the keyword's search volume to gauge cost-efficiency. Check sponsoredWeightedSov to see how heavily competitors invest in ads.

3. Conversion efficiency of top ASINs

{
  "marketplace": "de",
  "keyword": "kopfhörer kabellos"
}

Examine the topAsins array to find whether the top-clicked products convert well. High clicks + low conversion rate may indicate opportunity.

4. Identify market gaps — Are there underserved positions?

{
  "marketplace": "jp",
  "keyword": "ヨガマット"
}

If no single brand has a combinedWeightedSov above 0.15, the keyword is fragmented and may be easier to enter. Combine with search volume to assess market size.

5. Compare organic vs sponsored presence

{
  "marketplace": "uk",
  "keyword": "running shoes"
}

A brand with high sponsoredWeightedSov but low organicWeightedSov relies heavily on ads; this can inform competitive strategy.

Display Rules

1. Brand table: Show the brands table sorted by combinedWeightedSov descending; highlight the top 5 brands for quick comprehension
2. SOV as percentage: Display SOV values as percentages (multiply by 100), e.g., 0.152 → 15.2%
3. Context header: Before the table, show the keyword's 30-day search volume (estimated30DaySearchVolume) and PPC bid median (exactSuggestedBidMedian) as context
4. Top ASINs section: Show the TOP 3 ASIN table separately with click count, conversion count, and conversion rate
5. Competitive summary: After the data, provide a brief competitive landscape summary: whether the keyword is dominated by a few brands or fragmented, and note any large gaps between organic and sponsored presence
6. Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters

Important Limitations

• Coverage: Only the first 3 pages of Amazon search results are analyzed (typically ~48–60 products)
• Single keyword: One keyword per API call; multi-keyword comparison requires separate calls
• SOV is a snapshot: Data reflects a point-in-time crawl, not a historical trend
• No historical SOV: This tool does not provide SOV changes over time; use the keyword history tool for volume trends

User Expression & Scenario Quick Reference

Applicable — Brand market share and competitive analysis on Amazon search results:

Not applicable — Beyond keyword Share of Voice scope:

• Historical search volume trends (use keyword history tool)
• Keyword suggestions / keyword mining (use ABA or keyword explorer tools)
• Product-level sales estimation or review analysis
• Listing optimization or copywriting advice
• Non-Amazon platform data

Boundary judgment: When users say "竞争分析", "品牌分析", or "市场格局", if the intent is to understand which brands occupy the search results page for a specific keyword (share of voice / brand distribution), this skill applies. If they want product-level sales data, profit margins, or historical trends, it does not apply.

积分消耗规则

消耗 64 积分。

用户会因积分消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对积分消耗量预期不足时，务必提醒用户，由用户决定是否继续。

Feedback:

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

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

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

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