Key takeaways
- GEO-first approach — optimizes for AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations
- 3,320 stars in ~1 month, MIT license, Python. 11 sub-skills and 5 parallel subagents for comprehensive audits
- Citability scoring engine analyzes content blocks for AI citation readiness — optimal passages are 134-167 words, self-contained, and fact-rich
- Monetization angle built in — paired with a Skool community teaching GEO agency services ($2K-$12K/month engagements)
FAQ
What is geo-seo-claude?
A Claude Code skill that audits and optimizes websites for AI-powered search engines. It scores content citability, analyzes AI crawler access, scans brand mentions, generates schema markup, and produces client-ready PDF reports.
How much does geo-seo-claude cost?
The tool is free and open source under MIT license. The creator monetizes through a paid Skool community that teaches how to sell GEO services to businesses.
Who competes with geo-seo-claude?
claude-seo (AgriciDaniel, 2,656 stars) is the closest competitor with broader SEO coverage. SEO Machine (TheCraigHewitt, 2,816 stars) focuses on content creation. Marketing Skills (coreyhaines31, 14,937 stars) covers the broader marketing stack.
What makes geo-seo-claude different?
It prioritizes GEO over SEO — most competitors bolt GEO onto traditional SEO tooling. geo-seo-claude treats AI search visibility as the primary objective with traditional SEO as the foundation layer.
Overview
geo-seo-claude is a Claude Code skill that takes a GEO-first approach to search optimization — treating AI-powered search engines as the primary target rather than an afterthought. Where most SEO tools bolt on AI search features, this one inverts the priority: optimize for ChatGPT, Perplexity, Gemini, and Google AI Overviews first, then ensure traditional SEO foundations are solid.
Key stats: 3,320 stars, MIT license, Python. Created February 2026. Active development (last pushed March 18, 2026).
| Attribute | Value |
|---|---|
| Stars | 3,320 |
| License | MIT |
| Language | Python |
| Created | February 2026 |
| Sub-skills | 11 |
| Subagents | 5 (parallel) |
| Dependencies | Python 3.8+, Claude Code CLI |
| Category | SEO/GEO Agent Skills |
How It Works
Running /geo audit on a URL launches 5 parallel subagents that each handle a different dimension of the analysis:
- AI Visibility — citability scoring, AI crawler access, llms.txt analysis, brand mention scanning
- Platform Analysis — ChatGPT, Perplexity, Google AI Overview readiness
- Technical SEO — Core Web Vitals, SSR, security, mobile optimization
- Content Quality — E-E-A-T assessment, readability, content freshness
- Schema Markup — detection, validation, JSON-LD generation
Results synthesize into a composite GEO Score (0-100) weighted across six categories: AI Citability (25%), Brand Authority (20%), Content Quality (20%), Technical Foundations (15%), Structured Data (10%), and Platform Optimization (10%).
Citability Scoring
The standout feature is the citability scorer — a Python engine that analyzes content blocks for AI citation readiness. Research shows optimal AI-cited passages are 134-167 words, self-contained, and fact-rich. The tool scores each content block against these criteria and flags sections that need restructuring for higher AI citation probability.
AI Crawler Analysis
Checks robots.txt for 14+ AI crawlers (GPTBot, ClaudeBot, PerplexityBot, etc.) and provides specific allow/block recommendations. Brand mention scanning covers YouTube, Reddit, Wikipedia, LinkedIn, and 7+ other platforms — important because brand mentions correlate 3x more strongly with AI visibility than backlinks.
11 Sub-Skills
| Command | Purpose |
|---|---|
/geo audit | Full GEO + SEO audit with parallel subagents |
/geo quick | 60-second GEO visibility snapshot |
/geo citability | Score content for AI citation readiness |
/geo crawlers | Check AI crawler access (robots.txt) |
/geo llmstxt | Analyze or generate llms.txt |
/geo brands | Scan brand mentions across AI-cited platforms |
/geo platforms | Platform-specific optimization |
/geo schema | Structured data analysis and generation |
/geo technical | Technical SEO audit |
/geo content | Content quality and E-E-A-T assessment |
/geo report | Generate client-ready markdown report |
/geo report-pdf | Professional PDF with charts and visualizations |
Business Model
The tool itself is free and open source. The creator monetizes through a paid Skool community ("AI Workshop") that teaches how to package GEO audits as agency services. The pitch: GEO agencies charge $2K-$12K/month, this tool does the audit, the community teaches how to sell it.
This is an increasingly common pattern in the Claude Code skills ecosystem — open-source the tool, monetize the education/community layer.
Competitive Position
geo-seo-claude sits in a rapidly growing category of SEO/GEO agent skills. Its main differentiator is the GEO-first philosophy — most competitors (claude-seo, Agentic-SEO-Skill, SEO Machine) treat traditional SEO as primary with GEO bolted on. geo-seo-claude inverts this, which aligns with the market shift: AI-referred traffic grew 527% year-over-year, and Gartner projects a 50% drop in traditional search traffic by 2028.
At 3,320 stars, it trails claude-seo's longer market presence (2,656 stars but created 11 days earlier) on a per-day basis. Both are dwarfed by Marketing Skills (14,937 stars) which covers the broader marketing stack beyond SEO/GEO.
Strengths
- GEO-first positioning aligns with where traffic is going, not where it was
- Parallel subagent architecture makes audits fast and comprehensive
- Citability scorer is a unique, research-backed feature
- PDF report generation makes it agency-ready out of the box
- Active development — pushed within the last 2 days
Weaknesses
- Claude Code only — no Cursor, Codex, or multi-agent support
- Python dependency adds friction vs. pure SKILL.md approaches
- Monetization via Skool may raise questions about tool quality vs. lead gen
- No MCP integration — competitors like claude-seo integrate with DataForSEO
- New project — only ~1 month old, production track record unclear
Bottom Line
geo-seo-claude is a well-architected Claude Code skill that bets correctly on the GEO-first thesis. The citability scoring engine and parallel subagent design are genuinely differentiated. The Skool monetization layer is smart business but may make some developers skeptical. For teams already using Claude Code who want to optimize for AI search visibility, it is the most focused tool in the category.