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Geo Compare

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zubair-trabzada
geo-compare

Monthly delta tracking and progress reporting for GEO clients. Compares two GEO audits (baseline vs. current), calculates score improvements across all categories, tracks action item completion, and generates a "here's your progress" client report. Use when user says "compare", "delta", "monthly report", "progress", "confronta", "progressi", "report mensile", or when running a monthly client check-in.

Overview

Publisherzubair-trabzada
Repositorygeo-seo-claude
Skill namegeo-compare
Stars
10.7K
Forks
1.6K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zubair-trabzada on GitHub. Read the source before you install it.

Installation

Install the Geo Compare 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.
  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/zubair-trabzada/geo-seo-claude.git /tmp/geo-seo-claude
mkdir -p .claude/skills
cp -r /tmp/geo-seo-claude/skills/geo-compare .claude/skills/geo-compare
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Geo Compare 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 Geo Compare 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 Geo Compare 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.

GEO Monthly Delta Report Generator

Purpose

The single most powerful retention tool for a GEO agency: show clients exactly what improved since they started working with you. Every point gained on the GEO score is proof of value. This skill generates the "here's your progress" report.


Commands

/geo compare <domain>
/geo compare <baseline-file> <current-file>
/geo compare electron-srl.com --month march-2026

Examples:

/geo compare electron-srl.com
/geo compare ~/.geo-prospects/audits/electron-srl.com-2026-01-15.md ~/.geo-prospects/audits/electron-srl.com-2026-03-12.md

Workflow

Step 1: Find Audit Files

If only domain is provided:

  1. Look in ~/.geo-prospects/audits/ for files matching <domain>-*.md
  2. Sort by date
  3. Use oldest as baseline, newest as current
  4. If only one file exists: use it as baseline, run a fresh quick audit as current
  5. If no files exist: suggest running /geo prospect audit <domain> first

Step 2: Parse Both Audits

Extract from each audit file:

  • Overall GEO Score
  • Per-category scores (6 categories)
  • Per-platform scores (5 platforms)
  • AI crawler status (14 crawlers)
  • Critical issues list
  • Action items list with status

Step 3: Calculate Deltas

For each metric:

  • Delta = Current - Baseline
  • Trend = ▲ (improved), ▼ (declined), ── (unchanged)
  • Color coding in report: green (+), red (-), gray (=)

Step 4: Generate Monthly Report

Output to ~/.geo-prospects/reports/<domain>-monthly-<date>.md


Report Template

Generate the following document:

markdown
# GEO Monthly Progress Report
## [COMPANY NAME] — [MONTH YEAR]

**Reporting period:** [BASELINE DATE] → [CURRENT DATE]
**Prepared by:** [AGENCY NAME]
**Report reference:** GEO-MONTHLY-[DOMAIN]-[YYMMDD]

---

## Executive Summary

[2-3 sentences: What improved, what's the trend, what to focus on next month.]

Example: "Electron Srl's GEO Score improved from 32 to 44 this month (+12 points),
placing the site firmly in the 'Below Average' tier and on track to reach 'Moderate'
by May. The biggest wins were AI crawler access (+3 crawlers now allowed) and schema
implementation (+Organization and LocalBusiness schemas live). Next month's focus is
content citability — the highest-weighted remaining gap."

---

## GEO Score Progress

OVERALL GEO SCORE

Baseline [▓▓▓▓░░░░░░░░░░░░░░░░] 32/100 (Critical) Current [▓▓▓▓▓▓▓▓░░░░░░░░░░░░] 44/100 (Below Average) Change ▲ +12 points (+37.5%)

Target: 65/100 by Month 6 (on track ✓)


---

## Score Breakdown: Before vs. After

| Category | Baseline | Current | Change | Trend |
|----------|---------|---------|--------|-------|
| AI Citability & Visibility | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Brand Authority Signals | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Content Quality & E-E-A-T | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Technical Foundations | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Structured Data | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| Platform Optimization | [X]/100 | [X]/100 | [+/-X] | [▲/▼/──] |
| **TOTAL** | **[X]/100** | **[X]/100** | **[+/-X]** | **[▲/▼]** |

---

## Platform Readiness: Before vs. After

| AI Platform | Baseline | Current | Change |
|-------------|---------|---------|--------|
| Google AI Overviews | [X]/100 | [X]/100 | [+/-X] |
| ChatGPT Web Search | [X]/100 | [X]/100 | [+/-X] |
| Perplexity AI | [X]/100 | [X]/100 | [+/-X] |
| Google Gemini | [X]/100 | [X]/100 | [+/-X] |
| Bing Copilot | [X]/100 | [X]/100 | [+/-X] |

---

## AI Crawler Access Changes

| Crawler | Baseline | Current | Change |
|---------|---------|---------|--------|
| GPTBot (ChatGPT) | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| ClaudeBot (Anthropic) | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| PerplexityBot | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| Google-Extended (Gemini) | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |
| Bingbot | Blocked/Allowed | Blocked/Allowed | ✓ Fixed / No change |

[Show only crawlers that changed, or all if few crawlers.]

---

## Action Plan Progress

### Quick Wins — Status Update

| # | Action | Assigned | Status | Impact |
|---|--------|---------|--------|--------|
| 1 | Allow all AI crawlers in robots.txt | Client dev | ✅ Done | +3 crawlers |
| 2 | Add Organization schema to homepage | Client dev | ✅ Done | Schema score +15 |
| 3 | Create llms.txt | Agency | ✅ Done | AI visibility +8 |
| 4 | Add author bylines to all articles | Client content | 🔄 In Progress | — |
| 5 | Fix meta descriptions (47 pages missing) | Client dev | ❌ Not started | — |

**Quick wins completed: [X]/[Y] ([%])**

### Medium-Term — Status Update

| # | Action | Target Month | Status |
|---|--------|-------------|--------|
| 1 | Rewrite top 10 pages with Q&A structure | Month 2 | 🔄 3/10 done |
| 2 | E-E-A-T: Create author pages | Month 2 | ❌ Not started |
| 3 | Register Bing Webmaster Tools | Month 1 | ✅ Done |
| 4 | Implement IndexNow | Month 2 | 🔄 In Progress |

### Strategic — Status Update

| # | Action | Target | Status |
|---|--------|--------|--------|
| 1 | Wikipedia entity creation | Month 4 | 📋 Planned |
| 2 | YouTube channel launch | Month 3 | 📋 Planned |
| 3 | Reddit presence (industry subs) | Month 3 | 📋 Planned |

---

## This Month's Wins

> Use this section to celebrate — clients need to see the value clearly.

✅ **[WIN 1]:** [Specific, tangible result — e.g., "GPTBot and ClaudeBot are now allowed. ChatGPT can now crawl and cite your content."]
✅ **[WIN 2]:** [e.g., "Organization schema implemented on homepage. Your brand entity is now machine-readable."]
✅ **[WIN 3]:** [e.g., "llms.txt created and deployed at electron-srl.com/llms.txt — one of only ~12% of sites in your industry to have this."]

---

## New Issues Discovered

> Issues found in current audit that weren't in baseline.

⚠️ **[ISSUE 1]:** [What it is, what it means, how we'll fix it]
⚠️ **[ISSUE 2]:** [What it is, what it means, how we'll fix it]

---

## Next Month Focus

### Priority Actions for [NEXT MONTH]:

| Priority | Action | Owner | Expected Impact |
|----------|--------|-------|----------------|
| 1 | [Highest ROI action] | [Agency/Client] | +[X] GEO points |
| 2 | [Second priority] | [Agency/Client] | +[X] GEO points |
| 3 | [Third priority] | [Agency/Client] | +[X] GEO points |

**Target GEO Score next month:** [CURRENT + estimated gain]/100

---

## 6-Month Trajectory

| Month | Date | Score | Delta | Key Achievement |
|-------|------|-------|-------|----------------|
| Baseline | [Date] | [Score] | — | Initial audit |
| Month 1 | [Date] | [Score] | [+X] | Quick wins implemented |
| Month 2 | [Date] | [Score] | [+X] | *Current month* |
| Month 3 | [Date] | — | — | Content citability |
| Month 4 | — | — | — | Brand authority |
| Month 5 | — | — | — | Strategic initiatives |
| Month 6 | — | **Target: [X]** | — | Full review |

[Only fill rows that have happened. Show projected rows as "—"]

---

## Estimated Business Impact

Based on the [X]-point improvement this month:

- **AI citation likelihood:** Increased by approximately [X]%
- **Crawlers with access:** [X]/14 → [Y]/14 (better coverage on [platforms])
- **Estimated monthly AI-referred traffic improvement:** +[X]% (conservative)
- **Traffic value at current conversion rates:** +€[X]/month in organic value

*Note: Full traffic impact from GEO changes typically takes 4-8 weeks to materialize
as AI platforms re-index and update their knowledge bases.*

---

*GEO Monthly Report — [COMPANY NAME] — [DATE]*
*Questions or comments? [CONTACT EMAIL]*

Delta Calculation Logic

When parsing two audit files, look for these patterns:

Score markers to extract:
- "GEO Score: XX/100"
- "Overall Score: XX"
- "AI Citability: XX/100"
- "Brand Authority: XX/100"
- "Technical: XX/100"
- "Schema: XX/100"
- "Platform: XX/100"
- "Content: XX/100"
- "GPTBot: Allowed/Blocked"
- "ClaudeBot: Allowed/Blocked"

If exact scores are not found in audit files, use contextual analysis of the written findings to estimate approximate scores based on issues described.


Trend Interpretation

DeltaTrend SymbolMeaning
+5 or more▲▲Strong improvement
+1 to +4Improvement
0──No change
-1 to -4Slight decline
-5 or more▼▼Significant decline — needs discussion

A decline is not necessarily bad — it can mean new issues were discovered in the fresh audit that weren't visible before. Frame declines as "newly discovered opportunities."


Output

  1. Save report to ~/.geo-prospects/reports/<domain>-monthly-<YYYY-MM>.md
  2. Print confirmation with key stats:
    ✓ Monthly report generated: ~/.geo-prospects/reports/electron-srl.com-monthly-2026-03.md
    
    SUMMARY:
    GEO Score: 32 → 44 (+12 points) ▲
    Quick wins completed: 3/5 (60%)
    New issues found: 2 (minor)
    On track for Month 6 target: YES (65/100)
  3. Suggest next action: "Share with client or run /geo report-pdf for a visual version"

Frequently asked questions

What does the Geo Compare AI skill do?

Monthly delta tracking and progress reporting for GEO clients. Compares two GEO audits (baseline vs. current), calculates score improvements across all categories, tracks action item completion, and generates a "here's your progress" client report. Use when user says "compare", "delta", "monthly report", "progress", "confronta", "progressi", "report mensile", or when running a monthly client check-in.

Why use Geo Compare on TypingMind?

Because you install it once and use it with any model. Geo Compare 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 Geo Compare in TypingMind?

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

Which AI models can use Geo Compare?

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 Geo Compare?

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

Is the Geo Compare AI skill free?

Yes. It is published on GitHub by zubair-trabzada 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.

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