reddit · SaaS · 09-27 16:50 63 分 ← 返回列表

How we measure AI search visibility, the method and the tools

We look at it in two layers. First, visibility: how often the brand actually gets named when you run real buyer questions across ChatGPT, Perplexity, and Google AI Mode. Then there’s sourcing: which pages and sources the engines are pulling from to build those answers. That’s usually where you find the content gaps. We use Slate to track both, but you can absolutely start by logging a few prompts manually each week. It gets tedious pretty quickly though. For me, the useful metric is sha

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：手动追踪品牌在 ChatGPT、Perplexity、Google AI Mode 中的曝光和引用来源非常繁琐，且难以衡量品类问题中的声量份额。

目标用户：SaaS 和 B2B 营销人员、SEO/GEO 负责人、内容营销团队。

证据：We use Slate to track both, but you can absolutely start by logging a few prompts manually each week. It gets tedious pretty quickly though.

变现：SaaS 订阅制，按监控提示词数量、引擎数量或座位数收费，提供自动化报告和内容缺口分析。

MVP：2 周内做出：输入品牌和品类问题，每周自动查询 ChatGPT/Perplexity/Google AI Mode，检测品牌是否被提及、引用来源，计算 share of voice，生成简单报告。

竞品：Slate、Profound、Peec AI、Otterly.ai、Athena、Scrunch AI

摘要：该帖分享了衡量 AI 搜索可见性的两层方法：品牌提及频率和引用来源，并提到用 Slate 追踪或手动记录提示词。手动记录很快变得繁琐，说明存在自动化追踪 AI 搜索曝光和声量份额的工具需求，但该赛道已有多个竞品。