文档

Rank Tracker

追踪关键词排名、SERP 特性与 AI 可见性,输出带基线标签的位移变化。

它能做什么

按时间记录关键词排名、SERP 特性归属与 AI Overview 引用情况。每条数据都会标注来源——实测、用户提供还是模型估计;每个位移变化都对照基线标注,绝不凭空编造。输出排名报告,列出最大波动项、可疑原因与下一步动作,并把异常写入待办台账。即便没有付费工具,通过本地账本脚本也能完成零依赖的测量循环。

什么时候用它

  • 逐周追踪目标关键词排名变化
  • 诊断某个核心词突然下滑的原因
  • 对比自身与竞品的 SERP 特性归属
  • 监控域名的 AI Overview 引用率

技能文档

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 --source rank --data '{"": , ...}', then ledger.py diff --source rank for the change since the last check and ledger.py trend --source rank --field "" 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.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

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

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) → performance-monitor. Subsequent runs (baseline exists) → Terminal. Visited-set rule applies per skill-contract.md.

常见问题

支持哪些数据源?
所有集成都是可选的。接入工具时,会拉取排名、搜索控制台曝光、流量与 AI 引用数据;没有工具时,会请用户直接提供排名、搜索量、竞品与 SERP 特性信息。
没有历史基线怎么办?
把本次记录作为首个快照、所有位置标记为基线,然后继续运行——不会凭空捏造"上一次"的位置。每个位移变化都对照对照组关键词或竞品计算,而不是对照零。
没提供关键词列表会怎样?
会停下来询问,并给出三个选项:提供关键词清单、追踪域名已知的头部词、或取消。SERP 特性或 AI 引用这类可选项缺失时,会标记为 N/A 后继续运行。

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