linkfox-junglescout-keyword-share-of-voiceJungle Scout关键词市场份额（Share of Voice）分析，返回亚马逊搜索结果前3页的品牌声量占比（自然/广告/综合）、30天精确搜索量、PPC竞价中位数及TOP3 ASIN点击转化数据，覆盖10个站点。当用户提到品牌市场份额、品牌声量占比、搜索结果品牌分布、Share of Voice、SOV分...
Install via ClawdBot CLI:
clawdbot install linkfox-ai/linkfox-junglescout-keyword-share-of-voiceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://tool-gateway.linkfox.com/junglescout/keywords/share-of-voiceCalls external URL not in known-safe list
https://skill.linkfox.com/AI Analysis
The skill's external API calls (tool-gateway.linkfox.com, skill.linkfox.com) are consistent with its stated purpose of fetching Jungle Scout data, and there is no evidence of credential harvesting, hidden instructions, or obfuscation. However, the data flow to an undocumented external endpoint warrants a low-risk classification due to the lack of transparency about data handling.
Audited Apr 18, 2026 · audit v1.0
Generated May 9, 2026
An Amazon seller wants to see which brands dominate search results for 'wireless headphones'. The skill returns SOV (organic, sponsored, combined) for each brand, search volume, PPC bid median, and top ASIN click data across the first 3 pages. This helps the seller understand market share and decide whether to compete or niche down.
A brand manager evaluates 'bluetooth speaker' to determine PPC bid median and sponsored SOV. The skill shows median bid and distribution of sponsored vs organic placements, enabling the manager to gauge advertising costs and the level of competition for ad space.
Before launching a new yoga mat, a product developer uses the skill to analyze 'yoga mat non slip'. The combined SOV by brand reveals how concentrated the market is, and top ASIN click/conversion data shows which products convert best, informing product features and positioning.
An international seller compares 'phone case' across US, UK, and Germany marketplaces. The skill returns SOV data per marketplace, helping the seller identify where brand competition is lower and where their brand might have an edge.
A brand analyst runs weekly queries for 'protein bars' to monitor changes in their brand's organic weighted SOV vs competitors. While the skill returns point-in-time data, combining multiple queries over time reveals trends in visibility and competitive shifts.
Integrate this skill into a subscription-based SaaS platform for Amazon sellers. Users pay monthly to run keyword SOV queries, track brand share, and get competitive insights. Revenue comes from recurring subscriptions or per-query credits.
Offer paid consulting where you use the skill to produce detailed market reports for brands entering new Amazon categories or marketplaces. Deliverables include SOV breakdown, PPC bid analysis, and top ASIN benchmarks. Revenue per project or retainer.
Ad agencies serving Amazon sellers can use this skill to enhance PPC campaign planning by identifying sponsored SOV and optimal bid ranges. Bundle the analysis as a value-add service for clients, charging a premium on top of standard management fees.
💬 Integration Tip
The skill requires only a marketplace code and keyword. For automated workflows, call the API directly via LinkFox gateway or run the provided Python script with arguments.
Scored May 9, 2026
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