geo-compare

geo-compare is a skill for Claude Code from multiplex-ai/muggle-ai-teams. It costs 89 tokens per session (2,751 once invoked), scanned A, a copy of geo-compare, MIT.

A report that compares two website visibility audits and shows what changed between them. It calculates score changes, tracks completed actions, and creates a progress report.

In plain words
What is it for?
Use it for monthly client reports, baseline-versus-current comparisons, and tracking changes in category scores, platform scores, crawler status, and critical issues.
Why use it?
It removes the need to compare audit files and action lists by hand. It makes improvements and remaining work easier to see over time.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the muggle-ai-teams plugin — 166 skills, 55 commands, 30 agents, 4 hooks shipped together

Good fit Use it for monthly client reports, baseline-versus-current comparisons, and tracking changes in category scores, platform scores, crawler status, and critical issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/multiplex-ai/muggle-ai-teams/geo-compare
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add multiplex-ai/muggle-ai-teams --skill geo-compare
Clone the repo
git clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teams

Made for: Claude Code.

Or install muggle-ai-teams, the plugin that ships this one along with the rest of its 166 skills, 55 commands, 30 agents, 4 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for geo-compare

README.md
[![agentmods](https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/geo-compare/github.svg)](https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/geo-compare)
Your own site
<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/geo-compare"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/geo-compare/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for geo-compare

Your own site · 80×15
<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/geo-compare"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/geo-compare.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,751 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.02751
Opus 5.5 $0.00036 $0.01100
Sonnet 5.5 $0.00018 $0.00550
Haiku 4.5 $0.00009 $0.00275

Measured 5d ago against content hash c0793908bfb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

geo-compare scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to geo-compare — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/geo-compare/SKILL.md · 308 lines

How it starts

The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

# 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

Read the full file on GitHub · 308 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 308 lines · 89 tokens per session scan A c0793908bfb2

Subscribe to this mod's changes

geo-compare is a skill published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 2d ago), licensed MIT. It adds 89 tokens to every session and 2,751 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to geo-compare, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

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"…

zubair-trabzada/geo-seo-claude · 89 tokens

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"…

asale-ai/seo-geo-skill · 89 tokens

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"…

techhorizonlabs/thl-open · 89 tokens

geo-proposal

Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal", "proposta", "offerta", "preventivo"…

zubair-trabzada/geo-seo-claude · 83 tokens

review

Business review — weekly health check, monthly close, or ad-hoc audit. Subcommands: weekly, monthly, check. Use for periodic reviews or metrics assessment.

martineserios/thebrana · 35 tokens

geo-proposal

Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal", "proposta", "offerta", "preventivo"…

asale-ai/seo-geo-skill · 83 tokens