geo-seo-claude — Automating GEO for the AI Search Era with Claude Code

Overview

Gartner predicts Google search traffic will drop 50% by 2028. AI referral traffic grew 527% year-over-year. AI-driven traffic converts at 4.4x the rate of organic. The numbers are clear: SEO’s center of gravity is shifting toward GEO (Generative Engine Optimization). geo-seo-claude is a single Claude Code skill that addresses this transition.

What Is GEO?

GEO means optimizing for AI search engines — ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews. Traditional SEO was about getting users to click your link in search results. GEO is about getting AI to cite your content.

graph LR
    A["Traditional SEO"] --> B["Search Result Rankings <br/> Backlink-focused"]
    C["GEO"] --> D["AI Citability <br/> Brand mention-focused"]
    B --> E["User clicks a link"]
    D --> F["AI cites the content"]
    style C fill:#4CAF50,color:#fff

Key market signals:

Metric	Value
GEO services market	$850M+ (projected $7.3B by 2031)
Backlinks vs brand mentions (AI visibility)	Brand mentions show 3x stronger correlation
Domains cited by both ChatGPT and Google AIO	Only 11%
Marketers actively investing in GEO	Only 23%

Architecture: 5 Parallel Subagents

What makes geo-seo-claude interesting is how textbook-perfectly it demonstrates Claude Code’s skill + subagent pattern.

graph TD
    U["/geo audit URL"] --> D["Discovery <br/> Fetch homepage + detect business type"]
    D --> S1["AI Visibility <br/> Citability + crawlers + llms.txt + brand"]
    D --> S2["Platform Analysis <br/> ChatGPT/Perplexity/AIO coverage"]
    D --> S3["Technical SEO <br/> Core Web Vitals + SSR + security"]
    D --> S4["Content Quality <br/> E-E-A-T + readability + freshness"]
    D --> S5["Schema Markup <br/> Detection + validation + generation"]
    S1 --> R["Synthesis <br/> GEO Score 0-100"]
    S2 --> R
    S3 --> R
    S4 --> R
    S5 --> R
    R --> O["Prioritized Action Plan"]

A single /geo audit command runs 5 subagents simultaneously:

AI Visibility — citability score, crawler access, llms.txt, brand mentions
Platform Analysis — optimization for ChatGPT, Perplexity, Google AIO individually
Technical SEO — Core Web Vitals, SSR, security, mobile
Content Quality — E-E-A-T, readability, content freshness
Schema Markup — detection, validation, JSON-LD generation

Key Features

AI Citability Scoring

Quantifies what makes a text block easy for AI to cite. The optimal citation passage is 134–167 words, self-contained, fact-dense, and directly answers a question.

AI Crawler Analysis

Checks the accessibility of 14+ AI crawlers (GPTBot, ClaudeBot, PerplexityBot, etc.) in robots.txt and provides allow/block recommendations.

Brand Mention Scanning

Scans 7+ platforms (YouTube, Reddit, Wikipedia, LinkedIn, etc.) for brand mentions — which show 3x stronger correlation with AI visibility than backlinks.

llms.txt Generation

Analyzes or generates an llms.txt file, an emerging standard that helps AI crawlers understand site structure.

Scoring Methodology

Category	Weight
AI Citability & Visibility	25%
Brand Authority Signals	20%
Content Quality & E-E-A-T	20%
Technical Foundation	15%
Structured Data	10%
Platform Optimization	10%

Installation and Usage

# One-command install
curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/geo-seo-claude/main/install.sh | bash

# Usage in Claude Code
/geo audit https://example.com    # Full audit
/geo quick https://example.com    # 60-second snapshot
/geo citability https://example.com  # Citability score only
/geo report-pdf                   # Generate PDF report

Requires Python 3.8+, Claude Code CLI, and Git. Playwright is optional.

Business Angle

The tool itself is free under the MIT license. What’s interesting is the accompanying GEO agency business model it presents alongside the tool. GEO agency retainer ranges: $2K–$12K/month. The tool does the auditing; the community teaches you how to sell. 2,264 stars, 369 forks — a notable scale for a Claude Code skill.

Insight

geo-seo-claude demonstrates two things. First, a Claude Code skill can be more than a prompt wrapper — it can be a full software product built on 11 sub-skills + 5 parallel subagents + Python utilities. Second, as AI search replaces traditional search, the SEO → GEO transition is a real business opportunity. “AI search is eating traditional search” — the tool’s own slogan is becoming reality faster than expected.