Claude Code + GEO: The $10K/Month Service You Can Now Do for FREE

Generative Engine Optimization (GEO) Audit Tool with Claude Code

Key Concepts:

• Generative Engine Optimization (GEO): Optimizing websites for AI search engines like ChatGPT, Perplexity, and Gemini, rather than traditional search engines like Google and Bing.
• Claude Code: A platform allowing users to build and run AI-powered tools using “skills” – essentially plugins providing specialized functionality.
• Skills: Instructions given to Claude Code to enable it to perform specific tasks or become an expert in a particular area.
• Sub-agents: Specialized AI components within a skill, delegated to analyze specific aspects of a website during a GEO audit.
• GEO Audit: A comprehensive assessment of a website’s visibility and performance in AI search results.

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Introduction to GEO and the Tool

The video introduces a new approach to SEO called Generative Engine Optimization (GEO), focusing on optimizing websites for AI-powered search engines. The presenter demonstrates a tool built using Claude Code that automates GEO audits, providing detailed reports on a website’s AI visibility. The tool is offered freely for viewers to test and utilize. The presenter highlights the potential of this market, projecting growth to $7 billion in the next few years, driven by the 500%+ year-over-year growth in AI search traffic. Currently, only 23% of marketers are actively considering GEO.

Demonstration: Dscript.com GEO Audit

The presenter begins by showcasing a completed GEO audit on dscript.com, a video editing tool. The audit utilized 11 skills and 5 AI agents simultaneously. Key findings include:

• Overall GEO Score: 58/100, indicating significant room for improvement.
• Scored Categories: AI Citability, Brand Authority, Technical Content, Quality, and Schema were individually scored, revealing specific weaknesses.
• Platform-Specific Performance: The tool assesses performance on different AI platforms (ChatGPT, Perplexity, Google AI Overviews, Gemini) as performance varies significantly between them.
• Critical Findings & Prioritized Action Plan: The report identifies issues hindering AI visibility and provides a prioritized list of fixes. This report is presented as a deliverable ready for client presentation, saving significant time and effort compared to manual report creation. The presenter states agencies typically charge thousands of dollars and spend a week creating similar reports, while this tool generates one in approximately 60 seconds.

Live Audit: Typeform.com & Tool Functionality

The presenter then performs a live GEO audit on Typeform.com, a form-building website, to demonstrate the tool’s workflow.

Step-by-Step Process:

1. Accessing Claude Code: The tool is run within a Claude Code instance, accessible through Visual Studio Code or a terminal.
2. Invoking the GEO Audit Skill: The command /geo-audit is used to initiate the audit, followed by the target website URL (e.g., typeform.com).
3. Audit Phases: The audit proceeds through three phases:
   • Phase 1: Discovery & Fetching: Retrieves the homepage and identifies the website’s business type.
   • Phase 2: Parallel Sub-Agent Analysis: Runs five specialized AI agents concurrently to analyze different aspects of the website.
   • Phase 3: Aggregate Scores & Report Generation: Combines the results from the sub-agents to generate an overall GEO score and detailed report.
4. Accessing the GitHub Repository: The presenter provides a link to the GitHub repository containing the code and installation instructions. Installation is simplified with a single command.

Skill Breakdown:

The GEO audit relies on a “skill” defined in a skills.mmd markdown file. This file contains detailed instructions for Claude Code, outlining the audit workflow and specific tasks for each phase. Phase 2 utilizes five sub-agents:

• AI Citability Analysis: Assesses content for readability and usability by AI systems.
• Brand Analysis: Evaluates brand recognition and authority.
• Technical GEO Infrastructure: Examines the website’s technical setup for AI crawlability.
• Content Quality Analysis: Analyzes the quality and relevance of website content.
• Schema Markup Analysis: Checks for proper schema implementation to help AI understand the content.

The sub-agent approach is likened to hiring subcontractors for a construction project, each specializing in a specific task to improve efficiency.

Data & Results: Typeform.com Audit

The live audit of Typeform.com yielded the following results:

• Overall GEO Score: 62/100 (Moderate)
• Critical Findings:
  • Pricing Page Invisibility: Pricing data is rendered in JavaScript via API calls, making it inaccessible to AI crawlers. AI systems cannot answer the question "How much does Typeform cost?".
  • Schema Markup Deficiency: Limited schema markup implementation, particularly lacking software application, FAQ page, and offer schemas.
  • LLM.txt File Non-Compliance: The llm.txt file exists but is incorrectly formatted.
• Top Strengths: Strong brand recognition (Wikipedia page, 85+ LinkedIn followers, 4.5-star G2 rating).
• AI Platform Readiness: Good performance on Google AI Overviews and ChatGPT, but weaker on Bing Copilot.

Generating a PDF Report

The presenter demonstrates how to convert the audit results into a professional PDF report using another Claude Code skill, GEO report. This skill utilizes instructions in GEO report skills.mmd to format the data into a visually appealing and client-ready document. The report includes:

• Executive Summary
• GEO Score Breakdown
• AI Platform Readiness
• Critical Findings
• Prioritized Action Plan (Quick Wins, Medium-Term Improvements, Strategic Initiatives)

Monetization & Community Resources

The presenter suggests a sales approach: presenting the free GEO audit report to potential clients and offering a paid service to implement the recommended improvements. He promotes a Claude Code community offering:

• Step-by-step tutorials on building and using the tool.
• Guidance on selling GEO services.
• Access to additional projects and courses.
• Live Q&A sessions.

Conclusion

The video concludes by emphasizing the potential of GEO as a rapidly growing field and the value of the presented tool for SEO professionals and agencies. The tool, built with Claude Code, automates a complex audit process, providing actionable insights and a deliverable report in a fraction of the time compared to manual methods. The presenter encourages viewers to explore the resources provided and leverage this new opportunity in the evolving landscape of search engine optimization.