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Llm Sentry Geo Marketing

  • 830 installs
  • 6 repo stars
  • Updated July 18, 2026
  • aradotso/marketing-skills

llm-sentry-geo-marketing is a marketing agent skill that monitors brand mentions and citation sources in AI search engines such as DeepSeek and Doubao using Playwright automation, REST APIs, and Share of Voice metrics fo

About

llm-sentry-geo-marketing is a Marketing & SEO agent skill from aradotso/marketing-skills that implements LLM Sentry, an automated GEO (Generative Engine Optimization) monitoring platform. The monorepo spans 3 components—geo_db PostgreSQL service, llm_sentry_monitor Python Playwright service, and geo_client2 Wails desktop client—tracking brand exposure across DeepSeek, Doubao, and Bocha. Playwright simulates real user queries, extracts AI responses, parses reference links into PostgreSQL records and citations tables, and calculates Share of Voice by domain. Developers reach for llm-sentry-geo-marketing when they need REST API task automation, multi-round stability testing, or desktop GEO dashboards with local SQLite storage. Setup requires Python 3.11+ with uv, Docker Compose for PostgreSQL 15+, and playwright install chromium for browser automation.

  • Playwright-based monitoring for DeepSeek, Doubao, and Bocha
  • Share of Voice and citation domain analysis with SQLite desktop client
  • Monorepo with PostgreSQL service, Python monitor, and Wails client
  • Makefile setup with Dockerized PostgreSQL and REST task automation

Llm Sentry Geo Marketing by the numbers

  • 830 all-time installs (skills.sh)
  • +2 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #527 of 1,881 Marketing & SEO skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/aradotso/marketing-skills --skill llm-sentry-geo-marketing

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Listed on Skillselion
Installs830
repo stars6
Last updatedJuly 18, 2026
Repositoryaradotso/marketing-skills

How do you track brand citations in AI search?

Monitor brand mentions and citation sources in AI search engines such as DeepSeek and Doubao with Playwright automation, REST APIs, and Share of Voice metrics.

Who is it for?

Marketing engineers building GEO dashboards who need automated DeepSeek and Doubao brand monitoring with citation extraction and Share of Voice reporting.

Skip if: Traditional Google Search Console SEO audits that do not involve generative AI answer engines or Playwright-based query simulation.

When should I use this skill?

A developer needs to monitor brand mentions, extract citation links, or measure Share of Voice across AI search engines like DeepSeek and Doubao.

What you get

PostgreSQL records and citations rows, Share of Voice domain percentages, and Playwright-captured AI response archives.

  • GEO monitoring records
  • citation domain reports
  • Share of Voice metrics

By the numbers

  • Monorepo includes 3 components: geo_db, llm_sentry_monitor, and geo_client2
  • Monitors 3 AI search platforms: DeepSeek, Doubao, and Bocha
  • PostgreSQL schema defines 2 core tables: records and citations

Related skills

How it compares

Pick llm-sentry-geo-marketing over traditional SEO rank trackers when the goal is citation and mention monitoring inside generative AI answer engines.

FAQ

Which AI search engines does llm-sentry-geo-marketing support?

llm-sentry-geo-marketing monitors DeepSeek, Doubao, and Bocha using Playwright browser automation to simulate queries, capture AI responses, and extract citation reference links.

What database does llm-sentry-geo-marketing use for monitoring results?

llm-sentry-geo-marketing persists monitoring results in PostgreSQL 15+ via the geo_db service with records and citations tables, while the Wails desktop client can use local SQLite storage.

How does llm-sentry-geo-marketing measure brand performance?

llm-sentry-geo-marketing parses citation URLs from AI answers, groups them by domain, and calculates Share of Voice percentages showing each domain's citation share per query.

Marketing & SEOseocontent

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