Pain Spotter
全部商機

此商機基於舊版分析管線生成，部分新欄位（痛點敘事 / GTM / MVP / 失敗原因）將在下次重新分析後展示。

本商機洞察由 AI 基於公開社群討論合成生成。我們不展示用戶原始貼文或留言原文，所有內容已經過改寫聚合。請在實際行動前自行核實。

92分
r/Entrepreneur
Tiered SaaS subscription based on number of queries/keywords tracked
Build

AEO/GEO Brand Visibility Tracker

A B2B SaaS platform that automates the tracking of brand visibility across major LLMs (ChatGPT, Perplexity, Gemini). It categorizes AI responses into 'mentioned', 'recommended', and 'cited', smoothing out non-deterministic swings to give marketers actionable week-over-week metrics.

在 Reddit 檢視
發現於 2026年5月9日

得分構成

痛點強度9/10
付費意願9/10
實現難度（易建構）4/10
永續性8/10

差異化

我們的切入角度
There is a massive gap for a dedicated AEO (AI Engine Optimization) analytics platform that treats LLMs as search engines, specifically categorizing visibility into mentions, recommendations, and citations while smoothing out session-to-session variance.

社群原聲

直接影響該商機判斷的真實 Reddit 評論引用

  • “AI recommendation systems feel much more unstable and opaque than traditional SEO”
  • “no pattern at all”
  • “AI recommendations feel more like trying to reverse engineer a raccoon with internet access.”
  • “recommendations swung wildly week to week”
  • “data's still messy”
  • “the real issue is none of these platforms explain how they rank sources.”
  • “The part most people skip is logging the same prompts consistently over time.”
  • “tracked it manually for 3 months is kinda insane”

行動計畫

在寫程式之前，先驗證這個商機

建議下一步

直接做

需求訊號強烈。痛點真實、付費意願明確——啟動 MVP 開發。

落地頁文案包

基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁

主標題

AEO/GEO Brand Visibility Tracker

副標題

A B2B SaaS platform that automates the tracking of brand visibility across major LLMs (ChatGPT, Perplexity, Gemini). It categorizes AI responses into 'mentioned', 'recommended', and 'cited', smoothing out non-deterministic swings to give marketers actionable week-over-week metrics.

目標使用者

適合：SEO professionals, digital marketers, and SaaS founders

功能列表

✓ Automated weekly query tracking across multiple LLMs ✓ Categorization of visibility (Mention vs. Recommendation vs. Citation) ✓ Data smoothing algorithms to filter out hallucination noise ✓ Competitor position tracking

使用者原聲

“AI recommendation systems feel much more unstable and opaque than traditional SEO”— Reddit 使用者，r/r/Entrepreneur

“no pattern at all”— Reddit 使用者，r/r/Entrepreneur

“AI recommendations feel more like trying to reverse engineer a raccoon with internet access.”— Reddit 使用者，r/r/Entrepreneur

“recommendations swung wildly week to week”— Reddit 使用者，r/r/Entrepreneur

“data's still messy”— Reddit 使用者，r/r/Entrepreneur

“the real issue is none of these platforms explain how they rank sources.”— Reddit 使用者，r/r/Entrepreneur

“The part most people skip is logging the same prompts consistently over time.”— Reddit 使用者，r/r/Entrepreneur

“tracked it manually for 3 months is kinda insane”— Reddit 使用者，r/r/Entrepreneur

去哪裡驗證

把落地頁連結發布到 r/r/Entrepreneur——這裡就是這些痛點被發現的地方。