geo-compare

geo-compare is a skill for Claude Code from zubair-trabzada/geo-seo-claude. It costs 89 tokens per session (2,751 once invoked), scanned A, original, MIT.

A monthly comparison tool for GEO, or improving how often a brand appears in AI-generated search answers. It compares an earlier and a newer visibility audit, tracks score changes, and reports completed actions.

In plain words
What is it for?
Use it to compare GEO audits by domain or file, report overall and category improvements, check platform and crawler status, and summarize remaining critical issues and actions.
Why use it?
It shows what changed over time instead of leaving progress spread across separate audit files. If an audit is missing, it explains what needs to happen before comparison.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to compare GEO audits by domain or file, report overall and category improvements, check platform and crawler status, and summarize remaining critical issues and actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/geo-seo-claude/geo-compare
About the project

geo-seo-claude is a Claude Code skill for improving how websites appear in AI-powered search while retaining traditional search-engine optimization. It is used by marketers and website practitioners for analysis such as citation scoring, crawler review, authority assessment, structured data, and platform-specific recommendations. The catalogue entries are skills and agents that carry out this optimization workflow.

zubair-trabzada/geo-seo-claude · 10,540 stars · on GitHub · skool.com

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 zubair-trabzada/geo-seo-claude --skill geo-compare
Clone the repo
git clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claude

Made for: Claude Code.

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/zubair-trabzada/geo-seo-claude/geo-compare/github.svg)](https://agentmods.dev/skills/zubair-trabzada/geo-seo-claude/geo-compare)
Your own site
<a href="https://agentmods.dev/skills/zubair-trabzada/geo-seo-claude/geo-compare"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/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/zubair-trabzada/geo-seo-claude/geo-compare"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/geo-seo-claude/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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 18 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00044 $0.01375
Sonnet 5 $0.00018 $0.00550
Haiku 4.5 $0.00009 $0.00275

Measured 13d ago against content hash c0793908bfb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 13d 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

Copies of this mod

3 near-identical copies found in the catalogue:

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. 13d 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 zubair-trabzada/geo-seo-claude (10,540 stars, last pushed yesterday), licensed MIT. It adds 89 tokens to every session and 2,751 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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"…

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"…

asale-ai/seo-geo-skill · 83 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"…

techhorizonlabs/thl-open · 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-prospect

CRM-lite for managing GEO agency prospects and clients. Track leads through the full sales pipeline: Lead → Qualified → Proposal Sent → Won → Lost. Store audit history, notes, deal values, and generate pipeline summaries. Use when user says "prospect", "lead", "client", "pipeline", "crm", "nuovo prospect", "aggiungi…

asale-ai/seo-geo-skill · 87 tokens