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I built HijackWatch to investigate brand-search ads. Here's a sample report.

I'm building HijackWatch for the people responsible for a brand's affiliate programme and paid search. The attached image is an anonymized summary of a real investigation. The search-ad findings came from eight desktop queries, requesting Berlin and Munich locations on 10 October: 17 text-ad observations in total 6 showing the merchant's own domain 11 showing third-party domains, representing 8 distinct third-party display domains Those numbers gave me a list to investigate. The

五维评分

付费意愿
45
需求真实度
55
个人可落地
60
竞争空间
35
新鲜度
50

AI 分析

痛点:品牌联盟经理难以系统性发现并取证联盟客或第三方在品牌词上投放搜索广告(品牌劫持),导致佣金浪费和规则违规。

目标用户:品牌方联盟营销经理、付费搜索经理、联盟营销代理机构

证据:I'm building HijackWatch for the people responsible for a brand's affiliate programme and paid search. / The report shows what was observed, the evidence sources and what the merchant needs to verify next.

变现:订阅制SaaS(按品牌词/地区/监控频率收费)或按次调查服务,也可向联盟代理机构提供白标报告。

MVP:输入品牌词与地区,抓取Google/Bing搜索结果页广告主域名并截图存档,自动标记非品牌自有域名,输出带证据链接的异常报告,支持导出PDF,先做人工审核的半自动服务。

竞品:BrandVerity、Adthena、Optmyzr、Affise、Trackier

摘要:开发者发布HijackWatch,用于调查品牌搜索广告劫持与联盟规则违规,示例报告基于柏林/慕尼黑8次桌面搜索,发现17条文字广告中11条来自8个第三方域名。帖子未提供付费客户或收入证据,且该赛道已有BrandVerity等成熟竞品。