Rank Tracker

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](../alert-manager/SKILL.md) when recurring monitoring should become automated.

Handoff Summary

> Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../references/skill-contract.md).

Data Sources

All integrations optional (see [CONNECTORS.md](../../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](../../references/measurement-protocol.md). See [scripts/connectors/README.md](../../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](references/ranking-analysis-templates.md) 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](references/tracking-setup-guide.md) 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](../../references/skill-contract.md) §Save Results Template.

Reference Materials

• [Tracking Setup Guide](references/tracking-setup-guide.md) — Setup rules, feature tracking, and interpretation guidance

Next Best Skill

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: aaron-he-zhu
• Source: aaron-he-zhu/aaron-marketing-skills
• License: Apache-2.0

Install and usage instructions live in the source repository linked above.