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llm-sentry-geo-marketing

Monitor brand mentions and analyze GEO performance in AI search engines.

8|Updated May 16, 2026
Search Tags:#SEO#data analysis#brand monitoring#AI search engine#GEO performance
One-click install
npx skills add https://github.com/Aradotso/marketing-skills --skill llm-sentry-geo-marketing
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-sentry-geo-marketing
Source: https://github.com/Aradotso/marketing-skills/tree/main/skills/llm-sentry-geo-marketing
Command: npx skills add https://github.com/Aradotso/marketing-skills --skill llm-sentry-geo-marketing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, playwright, wails, uvicorn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides automated monitoring and analysis of brand mentions in AI search engines, enabling real-time tracking and analysis of brand visibility and performance.

Core Features & Use Cases

  • Brand Mention Monitoring: Tracks brand mentions in AI search engines like DeepSeek and Doubao.
  • Citation Source Analysis: Extracts and analyzes citation sources from AI search engine responses.
  • Multi-Round Query Execution: Executes multiple queries for stability testing.
  • Desktop Client & API: Offers a desktop client for local storage and a RESTful API for task automation.
  • Use Case: For marketing teams looking to measure the visibility and impact of their brand across AI search engines.

Quick Start

Set up AI search monitoring for your brand using the llm-sentry-geo-marketing skill.

Frequently Asked Questions about llm-sentry-geo-marketing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor brand mentions in AI search engines like DeepSeek and Doubao?▼

To monitor brand mentions in AI search engines, this Skill utilizes browser automation to execute queries on platforms like DeepSeek and Doubao, extracting citation sources and tracking real-time brand visibility. It persists tracking data in PostgreSQL and offers a desktop client for local storage.

What is GEO performance analysis and how does it work for AI search results?▼

GEO performance analysis evaluates brand visibility within AI-generated search responses. This Skill automates multi-round query execution to test stability, parses citation sources from AI search engine responses, and analyzes extracted reference links to measure brand impact.

Do I need PostgreSQL and a desktop client to track AI search engine visibility?▼

Yes, PostgreSQL is required for data persistence and a desktop client is needed for local storage when tracking AI search engine visibility. These components manage automated query execution, store parsed citation sources, and maintain real-time monitoring data.

Can I automate GEO performance tracking and brand monitoring tasks via an API?▼

Yes, you can automate brand monitoring and GEO performance tracking tasks via a RESTful API. Alongside the desktop client, the API allows marketing teams to integrate automated query execution and citation source analysis into existing task automation workflows.

How do I extract and analyze citation sources from AI search engine responses?▼

To extract and analyze citation sources from AI search engine responses, the Skill uses Playwright browser automation to execute queries and parse the returned reference links. This enables marketing teams to analyze brand visibility and performance impact.

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