Seo Monitoring

Community

kostja94

seo-monitoring

When the user wants to build an SEO data analysis system, monitor indexing/traffic/keywords/backlinks, or set up benchmarks. Also use when the user mentions "SEO data analysis," "SEO monitoring," "article database," "traffic benchmark," "penalty recovery," "SEO work document," "SEO dashboard," "keyword tracking," "ranking monitoring," "indexing report," or "backlink monitoring." For GSC API, use google-search-console.

Overview

Publisher	kostja94
Repository	`marketing-skills`
Skill name	`seo-monitoring`
Stars	979
Forks	137
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by kostja94 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/kostja94/marketing-skills/tree/main/skills/analytics/seo/seo-monitoring

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/kostja94/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/analytics/seo/seo-monitoring .claude/skills/seo-monitoring

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Monitoring 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 Monitoring 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 Monitoring 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.

Analytics: SEO Monitoring

Guides building a holistic SEO data analysis system. Covers four core metrics (indexing, traffic, keywords, backlinks), benchmark setup, article database, tool selection, traffic diversification, penalty recovery, and work document management.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope

Core metrics: Indexing, traffic, keywords, backlinks
Benchmark: Natural traffic baseline; trend comparison
Article database: Per-article performance tracking
Tool selection: GA4, GSC, SEO tools, analytics platforms
Traffic diversification: Healthy source mix
Penalty recovery: Algorithm impact, fix workflow
Work documents: Monthly records, responsibility tracking

Four Core Metrics

1. Indexing

Metric	Purpose	Data Source
Pages indexed / not indexed	Coverage; early focus: all target pages indexed	GSC, site: command, SEO tools
Keyword count per page	More keywords = more potential traffic	SEO tools
Index coverage	Target pages indexed; functional pages findable	GSC, site: command

Early priority: Ensure all pages that need to rank are indexed.

2. Traffic

Metric	Purpose	Data Source
Total traffic	Growth; keyword relevance (irrelevant traffic has little value)	GA4, SEO tools
Subdirectory traffic	Per-section performance; concentration vs dispersion	SEO tools, GA4
Competitive comparison	Organic, keyword traffic, total clicks vs competitors	SEO tools
Organic by page / country	Granular breakdown	GA4, GSC

3. Keywords

Metric	Purpose	Data Source
Rank changes	Target keyword movement	GSC, SEO tools
Keyword count	New gains / losses per page	SEO tools, GSC

4. Backlinks

Metric	Purpose	Data Source
Referring domains vs backlinks	Ratio; directory links can be high volume but low value	SEO tools
Backlink quality	Do links drive traffic? Low ROI = deprioritize	SEO tools, GA4 (referral)

Natural Traffic Benchmark

Location: GA4 > Reports > Acquisition > Traffic acquisition

Review organic traffic trend
Record baseline (e.g., monthly total)
Compare periodically to detect growth or decline

Tip: Add CTA events on key articles to track content ROI (see analytics-tracking).

Article Database

Track per-article performance to find high/low patterns:

Field	Use
URL, publish date, target keywords	Content metadata
Index status, rank, traffic, backlinks	Performance
vs benchmark or competitors	Context

Use to guide topic selection, optimization, and resource allocation.

Tool Selection

Tool examples are illustrative; no endorsement implied.

Use	Tools
Precise attribution	GA4, GSC, Bing Webmaster, Yandex Webmaster
Visit analytics	Analytics platforms (e.g. Umami, Plausible)
Third-party estimates	SEO tools
SEO data	SEO tools

Attribution config:

User ID: Cross-device, cross-session identification; send to GA4
GSC API: Index, clicks, impressions, coverage for automation, dashboards

Choose by privacy, cost, and team workflow.

Traffic Diversification

Principle	Guideline
Search share	Keep organic search below ~75% of total
Health	Higher direct + referral share = healthier
Brand sites	Diversified traffic is common for strong brands
Non-brand	Possible without brand (e.g., tool sites)
Reputation	Site/brand reputation matters; Google assessors evaluate it
Engagement	Content, email, social, free tools drive return visits

Penalty Recovery

Step	Action
Identify	Which algorithm update caused the impact
Analyze	Site issues; draft fix plan
Assess cost	Decide if fixes are worth it; sometimes abandoning is best
Execute	Implement changes; wait at least 3 months until next major update
Parallel	Use other channels for quality traffic; improve engagement data for Google
Data window	Google typically uses ~6 months of data for site quality
Recovery	Outcome is uncertain; do what you can, then wait

Monitoring Metrics Table

Traffic

Metric	Source	Notes
Total sessions	GA4
Channel share	GA4
Channel absolute	GA4
Country % and absolute	GA4
Top pages	SEO tools	Compare with competitors
Key page traffic	GA4	Define "key pages" first

Engagement

Metric	Source	Notes
Pages per session	GA4	Use GA for own site; third-party for competitors
Avg session duration	GA4
Bounce rate	GA4

Backlinks

Metric	Source	Notes
Domain authority	SEO tools
Backlinks, referring domains	SEO tools
Top referring domains by authority	SEO tools
Important links	Manual log	Track loss
Link graph	SEO tools	Health check
New quality links (self + competitors)	SEO tools	Outreach
Indexed pages	SEO tools	High-authority pages; internal linking
Outbound domains	SEO tools	Partnership opportunities

Keywords

Metric	Source	Notes
Keyword count	SEO tools	How many keywords rank

Content Output

Metric	Source	Notes
Articles published	Manual	Weekly count
Published vs indexed	GSC	New content indexing
New page traffic	GA4	Fresh content performance

Monthly Record Template

Category	Metric	Source
Traffic	Total sessions	GA4
Traffic	Channel share	GA4
Engagement	Pages per session	GA4
Backlinks	Referring domains	SEO tools
Content	Articles published	Manual

Adjust rows as needed.

Work Document Management

Structure: Metrics, sources, notes, monthly values
Benefits: Regular review, month-over-month trends, clear ownership
Format: Spreadsheet or doc; assign owners per metric

Output Format

Core metrics summary (indexing, traffic, keywords, backlinks)
Benchmark and trend
Article database structure (if applicable)
Tool recommendations
Monitoring table (customized)
Action items and owners

Related Skills

traffic-analysis: Traffic sources, attribution, diversification
analytics-tracking: GA4, events, CTA attribution, User ID
google-search-console: GSC reports, indexing, API
ai-traffic-tracking: AI search traffic
backlink-analysis: Backlink audit, toxic links
indexing: Fix indexing issues

Frequently asked questions

What does the Seo Monitoring AI skill do?

Why use Seo Monitoring on TypingMind?

Because you install it once and use it with any model. Seo Monitoring 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 Monitoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kostja94/marketing-skills/tree/main/skills/analytics/seo/seo-monitoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Monitoring?

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 Monitoring?

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

Is the Seo Monitoring AI skill free?

Yes. It is published on GitHub by kostja94 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

Adr Reindex

ruvnet

CommunityPopular

Reconcile the ADR index against a DELETED ADR file or relation line by dropping and rebuilding adr-patterns + adr-edges from scratch (scripts/reindex.mjs). Use when adr-index alone leaves stale rows…

Cost Export

Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)

Daa Agent

Create and adapt Dynamic Agentic Architecture agents that learn and evolve

Data Scientist

Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Analytics: SEO Monitoring

Scope

Four Core Metrics

1. Indexing

2. Traffic

3. Keywords

4. Backlinks

Natural Traffic Benchmark

Article Database

Tool Selection

Traffic Diversification

Penalty Recovery

Monitoring Metrics Table

Traffic

Engagement

Backlinks

Keywords

Content Output

Monthly Record Template

Work Document Management

Output Format

Related Skills

Frequently asked questions

Related AI Skills

Set up your own AI workspace now