Seo Rank Tracking logo

Seo Rank Tracking

OrganizationPopular
rampstackco
seo-rank-tracking

Set up and run rank tracking using Ahrefs MCP: pick the right keywords to track, segment them by purpose, set baselines, and define alert thresholds. Use this skill when starting a new tracking project, baselining for a campaign, choosing what to monitor, or building a rank reporting cadence. Triggers on rank tracking, keyword tracking, monitor rankings, track positions, what should we track, ranking dashboard, baseline rankings, alert thresholds. Also triggers when a stakeholder wants weekly or monthly ranking visibility.

Overview

Publisherrampstackco
Repositoryclaude-skills
Skill nameseo-rank-tracking
Stars
1K
Forks
134
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rampstackco on GitHub. Read the source before you install it.

Installation

Install the Seo Rank Tracking AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rampstackco/claude-skills/tree/main/skills/seo-rank-tracking
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rampstackco/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/seo-rank-tracking .claude/skills/seo-rank-tracking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Rank Tracking in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Rank Tracking on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Rank Tracking is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SEO Rank Tracking

Set up and run an ongoing rank tracking program using Ahrefs MCP data. Stack-agnostic. Produces a tracked keyword set, segmentation, baseline, alert thresholds, and a review cadence.


When to use

  • Starting rank tracking for a new property or section
  • Baselining before a campaign, content launch, or major site change
  • Deciding what keywords are worth tracking
  • Setting up a ranking dashboard for stakeholders
  • Establishing alert thresholds for ranking drops
  • Reviewing whether the current tracked set is still meaningful

When NOT to use

  • Keyword discovery (use seo-keyword)
  • Competitor keyword analysis (use seo-keyword-gap-audit)
  • Diagnosing a ranking change that already happened (use seo-traffic-diagnosis)
  • Single-page audits (use seo-onpage)

Required inputs

  • Target property
  • Target market and language
  • Business priorities (which segments matter)
  • Existing ranked keywords (Ahrefs Site Explorer)
  • Stakeholder reporting cadence (weekly, monthly, quarterly)
  • Confirmation of Ahrefs MCP and Rank Tracker access, write access included: workflow step 5 creates Rank Tracker projects

The framework: tracking taxonomy

A good tracked keyword set has structure. Random keyword lists produce noisy dashboards. Segmented keyword sets produce signal.

Group every tracked keyword into one of four buckets.

Bucket 1: Brand keywords

Queries containing the brand name (and major variants and misspellings).

Why track:

  • Detect brand visibility issues
  • Catch competitors bidding on the brand
  • Spot reputation problems early

Volume in this bucket: typically 10-30 keywords for most brands.

Healthy signal: position 1 for all variants. Anything else is investigate-worthy.

Bucket 2: Money keywords

Queries that drive (or should drive) revenue: high-intent transactional and evaluation-stage queries directly tied to the business model.

Why track:

  • These are the keywords that pay the bills
  • Movement here directly affects revenue
  • Stakeholders care most about these

Volume in this bucket: 30-100 keywords for most properties. More for ecommerce.

Healthy signal: top 3-5 positions. Watch for position drift in either direction.

Bucket 3: Opportunity keywords

Queries the property is currently ranking on page 2-3 (positions 11-30) with potential to break into top 10.

Why track:

  • These are the active growth bets
  • Movement reflects whether content investment is working
  • Quick wins typically come from this bucket

Volume in this bucket: 50-200 keywords typically.

Healthy signal: trending toward page 1 over a 90-day window.

Bucket 4: Competitor benchmark keywords

A representative sample of head and torso queries shared with the competitor set, used to track relative position over time.

Why track:

  • Measure share of voice
  • Spot competitor gains in real time
  • Provide industry context for movement

Volume in this bucket: 50-150 keywords.

Healthy signal: relative position improving or holding within a defined competitive band.


Selection criteria

Brand bucket

  • Brand name (exact)
  • Brand name + product or service
  • Brand name common misspellings
  • Brand name + "review", "vs", "alternative"
  • Brand-owned product names if relevant

Money bucket

  • Top 20 ranked keywords by traffic value (Ahrefs Site Explorer)
  • Top transactional queries from Search Console with non-trivial impressions
  • Conversion-driving queries identified in analytics
  • Strategic head terms from seo-keyword-gap-audit output

Quality over volume. 50 well-chosen money keywords beats 500 noisy ones.

Opportunity bucket

  • All keywords currently ranking positions 11-30 with monthly volume above a relevance-appropriate threshold
  • Queries with rising impression volume in Search Console
  • Output from the keyword gap audit's quick wins list

Refresh this bucket quarterly. Opportunity is a moving target.

Competitor benchmark bucket

  • Keywords where 3+ competitors rank in top 20
  • Mix of head, torso, and informational queries
  • Sized to represent the broader category

This bucket is for relative comparison, not absolute targeting.


Segmentation beyond buckets

Tag every tracked keyword on additional dimensions for filtering:

TagPurpose
Topic or pillarGroup by editorial theme
Funnel stageTOFU, MOFU, BOFU
Content type expectedArticle, product page, calculator, etc.
Page mappedWhich URL is targeting this query
Country and languageFor multi-market sites
DeviceDesktop, mobile
SERP feature presenceFeatured snippet, AI overview, video, etc.

Tagging up front pays off when filtering reports later.


Baselines

Capture the starting state on day one.

For each keyword, record:

  • Current position
  • Current SERP composition (top 10 domains, dominant content type, SERP features present)
  • Current click-through rate at that position (from Search Console if available)
  • Date of baseline

Baselines are the reference for measuring future movement. Without one, every dashboard is just current state.


Alert thresholds

Not every position change deserves attention. Set thresholds that filter noise.

Default thresholds

BucketAlert if
BrandPosition drops below 1 for any tracked variant
MoneyPosition drops by 5+ places, or out of top 10
OpportunityPosition rises into top 10 (positive alert), or drops past 30
Competitor benchmarkAggregate share-of-voice changes by 10%+

Adjust thresholds based on volatility of the niche. High-competition spaces need looser thresholds to reduce false alarms.

Alert routing

  • Brand alerts: notify SEO lead and brand manager immediately
  • Money alerts: notify SEO lead within a daily digest
  • Opportunity alerts: weekly summary
  • Competitor alerts: monthly summary

Workflow

  1. Define scope. Target property, market, language, stakeholders.
  2. Pull starting data. Existing ranked keywords, Search Console queries, competitor overlap.
  3. Build the tracked set. Size each of the 4 buckets to its own volume band. Those bands sum to roughly 140 at every minimum and 480 at every maximum, so a small property landing near 140 is correctly scoped, not under-scoped. Most properties land between 200 and 500.
  4. Segment with tags. Topic, funnel stage, page mapped, etc.
  5. Configure tracking. Set up Ahrefs Rank Tracker projects with tags and locations.
  6. Capture baseline. Day-one positions and SERP composition.
  7. Define alert thresholds. By bucket. Wire to notification system.
  8. Build the dashboard. See references/dashboard-template.md.
  9. Set the cadence. Weekly review of money + brand. Monthly review of all. Quarterly rebuild of opportunity bucket.
  10. Iterate. Drop dead keywords. Add new ones. Recalibrate thresholds based on noise.

Failure patterns

  • Tracking too many keywords. A 5,000-keyword tracker is unreadable. Pick fewer, watch closer.
  • Tracking too few. A 30-keyword tracker misses the picture. The floor is one populated bucket band per bucket, which is 140 keywords; most properties need 200 to 500.
  • No segmentation. Untagged tracked keywords produce dashboards that cannot be filtered.
  • No baseline. Without day-one snapshots, "did the campaign work" becomes unanswerable.
  • Alert fatigue. Loose thresholds produce too many alerts. Stakeholders stop reading. Tighten.
  • Set and forget. Tracked keyword sets need quarterly review. Opportunity moves. Money keywords shift.
  • Conflating position with traffic. A position-1 keyword with no clicks is worse than a position-5 keyword with steady traffic. Layer in CTR and clicks data.
  • Single-device tracking on a mobile-dominant business. Track the device that matches the audience.
  • Tracking aggregate position only. Aggregate position averages can hide important movement in specific buckets. Always show by bucket.
  • Reporting absolute position without context. "We are position 4" means nothing. "Up from position 11 over 60 days" means something.

Output format

A rank tracking setup document with:

  1. Tracking charter. Property, scope, stakeholders, cadence.
  2. Tracked keyword set. All keywords with bucket and tag assignments.
  3. Baseline snapshot. Position, SERP composition, CTR per keyword, or state the gap per the data-availability rule.
  4. Alert configuration. Thresholds by bucket, routing.
  5. Dashboard layout. What charts, what filters, what is visible.
  6. Review cadence. Weekly, monthly, quarterly responsibilities.
  7. Methodology notes. Country and device settings, refresh frequency, data caveats.

Plus a recurring rank report at the chosen cadence (typically weekly or monthly).


If required data is unavailable

This skill's output depends on data, measurements, or tool results it cannot generate on its own. When a required input, tool, or data source is unavailable or unverifiable, the sanctioned output is the deliverable with the gap stated: what was needed, what was actually obtained or verified, and which parts of the output are affected. Fabricating, estimating, or interpolating a required number to complete the deliverable is never sanctioned. A stated gap is a complete answer.


Reference files

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Rank Tracking AI skill do?

Set up and run rank tracking using Ahrefs MCP: pick the right keywords to track, segment them by purpose, set baselines, and define alert thresholds. Use this skill when starting a new tracking project, baselining for a campaign, choosing what to monitor, or building a rank reporting cadence. Triggers on rank tracking, keyword tracking, monitor rankings, track positions, what should we track, ranking dashboard, baseline rankings, alert thresholds. Also triggers when a stakeholder wants weekly or monthly ranking visibility.

Why use Seo Rank Tracking on TypingMind?

Because you install it once and use it with any model. Seo Rank Tracking is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Rank Tracking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rampstackco/claude-skills/tree/main/skills/seo-rank-tracking. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Rank Tracking?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Rank Tracking?

As many as you like. As long as a model supports skills, you can use Seo Rank Tracking with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Rank Tracking AI skill free?

Yes. It is published on GitHub by rampstackco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇