
rank-tracker
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 or setting alerts — use performance-monitor (report or alert mode). 排名追踪/SERP监控
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill rank-tracker- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads rank-tracker automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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, locale/language/device/engine, snapshot/source refs, observation times/windows, stable page/content bindings, 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 a current, context-matched position vs baseline with a labeled delta, or Unknown/NEEDS_REFRESH with its reason; each observation cites its source ref, observed time, window, locale/language/device/engine, evidence label, and ranking page ref; conflicts remain visible; and biggest movers and likely causes are named.
- Primary next skill: performance-monitor 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.
Zero-dependency measurement loop (no paid tool needed): never narrate a ranking movement you did not measure — record each check as a snapshot and let the ledger compute the delta. python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/ledger.py" record <domain> --source rank --data '{"<keyword>": <position>, ...}', then ledger.py diff <domain> --source rank for the change since the last check and ledger.py trend <domain> --source rank --field "<keyword>" for the series. Record real Search Console positions when connected, or the positions the user provides at Tier 1. A ranking delta is a week-scale, confounded outcome — attribute it against a control (a holdout keyword/competitor), not against zero; see references/measurement-protocol.md. See scripts/connectors/README.md.
Decision Gates
Stop and ask the user when:
- No target keywords are provided and none can be inferred from
CLAUDE.mdor 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:
- Set Up Keyword Tracking — configure domain, market/locale, device, language, engine, update frequency, priorities, competitor watchlist, and stable page refs. Apply the SEO/GEO Evidence and Cycle Control Profile.
- 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.
- Analyze Ranking Changes — highlight biggest wins, declines, stable terms, new rankings, lost rankings, likely causes, and recovery ideas; each delta labeled against its baseline.
- Track SERP Features — compare ownership of snippets, PAA, image/video packs, local packs, and related feature shifts.
- 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.
- Compare Against Competitors — report share of voice, head-to-head comparisons, and threat levels.
- 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, User-provided, Calculated, Estimated, Proxy, or Unknown; never present an estimate or proxy as measured. An applicable missing metric is Unknown with its reason. A stale or locale/language/device/engine-mismatched position is NEEDS_REFRESH, not a current ranking; N/A is only for a genuinely non-applicable field.
Reference: See Ranking Analysis Templates for the complete output templates for all seven steps.
Example
A ranking report names the biggest winners, biggest drops, and next actions, with each position carrying its source tag and labeled delta against baseline.
Rank Change Quick Reference
Response Protocol
| Change | Timeframe | Action |
|---|---|---|
| Drop 1-3 positions | Wait 1-2 weeks | Monitor — may be normal fluctuation |
| Drop 3-5 positions | Investigate within 1 week | Check technical issues and competitor changes |
| Drop 5-10 positions | Investigate immediately | Run a full diagnostic: technical, content, links |
| Drop off page 1 | Emergency response | Comprehensive audit + recovery plan |
| Position gained | Document and learn | Identify 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
- SEO/GEO Evidence and Cycle Control Profile — exact search observations, freshness, page bindings, and cycle rules
- Tracking Setup Guide — Setup rules, feature tracking, and interpretation guidance
Next Best Skill
Initial setup (no baseline) → performance-monitor. Subsequent runs (baseline exists) → Terminal. Visited-set rule applies per skill-contract.md.
FAQ
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 or setting alerts — use performance-monitor (report or alert mode). 排名追踪/SERP监控
How do I install rank-tracker?
Run npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill rank-tracker in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/rank-tracker/ (personal) or .claude/skills/rank-tracker/ (project).
Which AI agents can use rank-tracker?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is rank-tracker safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains rank-tracker?
It is published by aaron-he-zhu in aaron-he-zhu/aaron-marketing-skills. It has 1,312 recorded installs.
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