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.

API Usage

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/junglescout_keyword_sov.py directly to run queries.

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.

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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