Rank tracker
Skill aaron-he-zhu/aaron-marketing-skills/seo-geo/evaluate/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From its SKILL.md
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SKILL.md
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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: 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, device, language, update frequency, priorities, and competitor watchlist.
- 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 (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
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
- 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.
What ships with it: 2 files
9.3 KB alongside SKILL.md