Does this skill provide automated alerts for ranking drops?

Rank Tracker identifies and flags changes during analysis; however, for automated real-time alerting based on these findings, it is recommended to use this skill alongside the 'alert-manager' skill.

What is the difference between SEO and GEO tracking in this skill?

SEO tracking focuses on traditional search engine result pages (SERPs), while GEO (Generative Engine Optimization) tracking monitors your visibility and citations within AI-generated responses like Google's AI Overviews.

How often should I run rank checks with this skill?

While the skill can perform daily automated checks when connected to data sources, it is most effective when used weekly for trend analysis or immediately following major content updates.

Can I integrate this with third-party SEO tools?

Yes, the skill supports MCP network access to integrate with popular SEO tools like Ahrefs, Google Search Console, and various AI monitoring platforms using your specific API keys.

Rank Tracker

Name: Rank Tracker
Author: aaron-he-zhu

byaaron-he-zhu

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377

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Marketing Automation

Monitors keyword ranking positions across traditional search results and AI-generated responses to provide actionable search visibility insights.

Rank Tracker is a specialized SEO and GEO monitoring skill designed for Claude Code and AI agents to systematically track keyword performance over time. It identifies significant ranking shifts, benchmarks against competitors, and monitors visibility within AI Overview (GEO) citations and traditional SERP features like featured snippets and People Also Ask. This skill is essential for digital marketers and developers who need to quantify the impact of content updates, technical SEO changes, or algorithm shifts on their search visibility using automated or manual data inputs.

Key Features

01Real-time detection and movement flagging for ranking drops or improvements

02Automated tracking of keyword positions in traditional SERPs and AI responses

03SERP feature monitoring for snippets, local packs, and PAA visibility

04377 GitHub stars

05In-depth trend analysis to identify long-term search visibility patterns

06Competitive benchmarking to compare share of voice against industry rivals

Use Cases

01Tracking AI Overview (GEO) citation frequency to measure brand visibility in LLM responses

02Generating automated performance reports for stakeholders comparing organic growth against competitors

03Monitoring ranking fluctuations after a major website migration or technical SEO update

Key Features

01Real-time detection and movement flagging for ranking drops or improvements

02Automated tracking of keyword positions in traditional SERPs and AI responses

03SERP feature monitoring for snippets, local packs, and PAA visibility

04377 GitHub stars

05In-depth trend analysis to identify long-term search visibility patterns

06Competitive benchmarking to compare share of voice against industry rivals

Use Cases

01Tracking AI Overview (GEO) citation frequency to measure brand visibility in LLM responses

02Generating automated performance reports for stakeholders comparing organic growth against competitors

03Monitoring ranking fluctuations after a major website migration or technical SEO update