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Skills/aaron-he-zhu/seo-geo-claude-skills/rank-tracker
rank-tracker logo

rank-tracker

aaron-he-zhu/seo-geo-claude-skills
4K installs2K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill rank-tracker

Summary

Use when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks. Not for multi-metric stakeholder reports — use performance-reporter; not for setting alerts — use alert-manager. 排名追踪/SERP监控

SKILL.md

Rank Tracker

Tracks keyword positions, SERP feature ownership, and AI visibility over time.

Quick Start

Set up rank tracking for [domain] targeting these keywords: [keyword list]
Analyze ranking changes for [domain] over the past [time period]

Skill Contract

Expected output: a ranking report or delta summary plus the standard handoff summary for memory/monitoring/.

  • Reads: current rankings, prior baselines, target keyword list, market/device, and any user-provided or tool metrics.
  • Writes: a user-facing monitoring deliverable and reusable summary.
  • Promotes: significant changes, confirmed anomalies, follow-up actions, and pending decisions to memory/open-loops.md.
  • Done when: every tracked keyword shows current position vs baseline with a labeled delta (or N/A); each position cites its source (tool export / user-provided / estimated); and biggest movers and likely causes are named.
  • Primary next skill: alert-manager when recurring monitoring should become automated.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

All integrations optional (see CONNECTORS.md). With tools, pull rankings from ~~SEO tool, impressions from ~~search console, traffic from ~~analytics, and AI citations from ~~AI monitor. Without tools, ask for positions, volumes, competitor data, and SERP feature status.

Decision Gates

Stop and ask the user when:

  • No target keywords are provided and none can be inferred from CLAUDE.md or prior monitoring records — offer: (1) supply a keyword list, (2) track the domain's top known terms, (3) cancel.

Continue silently (never stop for):

  • No prior baseline exists — record the current run as the baseline, label all positions as the first snapshot, and proceed (do not invent a "previous" position).
  • Missing optional tool data (SERP features, AI citations) — mark N/A and proceed.

Instructions

When a user requests rank tracking or analysis:

  1. Set Up Keyword Tracking — configure domain, market, device, language, update frequency, priorities, and competitor watchlist.
  2. Record Current Rankings — output a position table where every row cites its source (tool export / user-provided / estimated), with position ranges, ranking URLs, feature ownership, and movement vs baseline.
  3. Analyze Ranking Changes — highlight biggest wins, declines, stable terms, new rankings, lost rankings, likely causes, and recovery ideas; each delta labeled against its baseline.
  4. Track SERP Features — compare ownership of snippets, PAA, image/video packs, local packs, and related feature shifts.
  5. Track GEO / AI Visibility — monitor AI Overview presence, citation rate, citation position, and trend; mark each value Measured (from an ~~AI monitor) or N/A if unobserved.
  6. Compare Against Competitors — report share of voice, head-to-head comparisons, and threat levels.
  7. Generate Ranking Report — output overall trend, key wins, concerns, opportunities, SERP feature changes, GEO visibility, and recommendations, with each metric carrying its source tag.

Label every metric Measured (tool/export), User-provided, or Estimated (model inference); never present an estimate as measured; if a required metric is unavailable, mark it N/A — do not invent it.

Reference: See Ranking Analysis Templates for the complete output templates for all seven steps.

Example

Sample outcome: average position improves from 15.3 to 12.8, top-10 keywords rise from 12 to 17, and the report highlights the biggest winners, biggest drops, and next actions.

Tips for Success

Track consistently, segment by intent, watch competitors, and include SERP feature plus GEO signals.

Rank Change Quick Reference

Response Protocol

ChangeTimeframeAction
Drop 1-3 positionsWait 1-2 weeksMonitor — may be normal fluctuation
Drop 3-5 positionsInvestigate within 1 weekCheck technical issues and competitor changes
Drop 5-10 positionsInvestigate immediatelyRun a full diagnostic: technical, content, links
Drop off page 1Emergency responseComprehensive audit + recovery plan
Position gainedDocument and learnIdentify what worked and replicate

Reference: See Tracking Setup Guide for tracking setup, root-cause taxonomy, CTR benchmarks, SERP feature impact, and algorithm-update assessment.

Save Results

Ask "Save these results?" If yes, write to memory/monitoring/ — see Skill Contract §Save Results Template.

Reference Materials

  • Tracking Setup Guide — Setup rules, feature tracking, and interpretation guidance

Next Best Skill

Initial setup (no baseline) → alert-manager. Subsequent runs (baseline exists) → Terminal. Visited-set rule applies per skill-contract.md.

Score

0–100
71/ 100

Grade

B

Popularity23/30

4,252 installs — solid traction. Source repo has 2,122 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Rank Tracker skill score badge previewScore badge

Markdown

[![Rank Tracker skill](https://www.claudemarket.ai/skills/aaron-he-zhu/seo-geo-claude-skills/rank-tracker/badges/score.svg)](https://www.claudemarket.ai/skills/aaron-he-zhu/seo-geo-claude-skills/rank-tracker)

HTML

<a href="https://www.claudemarket.ai/skills/aaron-he-zhu/seo-geo-claude-skills/rank-tracker"><img src="https://www.claudemarket.ai/skills/aaron-he-zhu/seo-geo-claude-skills/rank-tracker/badges/score.svg" alt="Rank Tracker skill"/></a>

Rank Tracker FAQ

How do I install the Rank Tracker skill?

Run “npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill rank-tracker” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Rank Tracker skill do?

Use when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks. Not for multi-metric stakeholder reports — use performance-reporter; not for setting alerts — use alert-manager. 排名追踪/SERP监控 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Rank Tracker skill free?

Yes. Rank Tracker is a free, open-source skill published from aaron-he-zhu/seo-geo-claude-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Rank Tracker work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Rank Tracker works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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