营销与写作

llm-sentry-geo-marketing

reason-machines/marketing-skills

GEO (Generative Engine Optimization) monitoring platform for tracking brand mentions in AI search engines like DeepSeek and Doubao

  • 890 次安装
  • 12 星标
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安装命令

npx skills add https://github.com/reason-machines/marketing-skills --skill llm-sentry-geo-marketing

SKILL.md

LLM Sentry GEO Marketing Skill

Skill by ara.so — Marketing Skills collection.

What This Project Does

LLM Sentry is an automated monitoring and analysis platform for GEO (Generative Engine Optimization). It tracks how AI search engines (DeepSeek, Doubao, Bocha) mention brands and analyze citation sources in their responses. The platform uses browser automation (Playwright) to simulate real user queries, extract AI responses, parse reference links, and calculate Share of Voice (SoV) metrics.

Core capabilities:

  • Real-time brand exposure monitoring in AI search results
  • Citation source extraction and domain analysis
  • Multi-round query execution for stability testing
  • Desktop client (Wails + Go + React) with local SQLite storage
  • RESTful API for task automation
  • PostgreSQL-based data persistence

Project Structure

This is a monorepo with three main components:

LLM Sentry GEO Marketing Skill

Skill by ara.so — Marketing Skills collection.

What This Project Does

LLM Sentry is an automated monitoring and analysis platform for GEO (Generative Engine Optimization). It tracks how AI search engines (DeepSeek, Doubao, Bocha) mention brands and analyze citation sources in their responses. The platform uses browser automation (Playwright) to simulate real user queries, extract AI responses, parse reference links, and calculate Share of Voice (SoV) metrics.

Core capabilities:

  • Real-time brand exposure monitoring in AI search results
  • Citation source extraction and domain analysis
  • Multi-round query execution for stability testing
  • Desktop client (Wails + Go + React) with local SQLite storage
  • RESTful API for task automation
  • PostgreSQL-based data persistence

Project Structure

This is a monorepo with three main components: