seo-geo

Analyze websites for SEO and Generative Engine Optimization opportunities.

1|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/Devattom/.claude --skill seo-geo-devattom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-geo
Source: https://github.com/Devattom/.claude/tree/main/skills/seo-geo
Command: npx skills add https://github.com/Devattom/.claude --skill seo-geo-devattom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you improve your website's visibility in both traditional search engines (like Google) and emerging AI-powered search engines (like ChatGPT, Perplexity, and Google's AI Overviews). It addresses the challenge of optimizing content for how AI models discover, rank, and cite information.

Core Features & Use Cases

  • SEO & GEO Audits: Analyze your website's current search engine optimization and Generative Engine Optimization status.
  • Keyword Research: Identify relevant keywords to target for both human and AI audiences.
  • Schema Markup Generation: Create structured data (JSON-LD) to help search engines understand your content better.
  • AI-Specific Optimization: Apply the 9 Princeton GEO methods to increase your chances of being cited by AI search engines.
  • Use Case: A business owner wants to ensure their new blog post ranks well on Google and is also likely to be cited by ChatGPT when users ask related questions. This Skill provides the tools and guidance to achieve both.

Quick Start

Use the seo-geo skill to analyze the website https://example.com for SEO and GEO optimization opportunities.

Frequently Asked Questions about seo-geo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is Generative Engine Optimization and how does it improve AI search visibility?

Generative Engine Optimization (GEO) is the process of optimizing website content so AI-powered search engines like ChatGPT and Perplexity can discover, rank, and cite it. Applying Princeton GEO methods increases your content's AI citation rates through structured modifications.

How do I optimize website content to be cited by AI search engines?

To optimize content for AI search engine citations, you can apply specific Generative Engine Optimization techniques. This involves analyzing keywords, generating schema markup, and adjusting content structure based on researched methods to improve AI bot accessibility.

How do I generate schema markup for better search engine understanding?

You can generate schema markup by creating structured JSON-LD data for your website. This structured data helps both traditional search engines and AI-powered engines understand your content better, improving overall search visibility and citation potential.

Does AI search optimization require different steps than traditional SEO?

AI search optimization builds on traditional SEO by adding Generative Engine Optimization layers. While traditional SEO focuses on keyword research and meta tags, AI optimization requires schema markup and specific content adjustments to ensure AI bots can access and cite your information.

Can I run a single audit for both SEO and GEO optimization?

Yes, you can run a combined audit to analyze your website's current status for both traditional search engine optimization and Generative Engine Optimization. This identifies opportunities to improve meta tags, keyword targeting, and AI bot accessibility simultaneously.

What are the limitations of using schema markup for AI search citations?

While schema markup helps AI engines understand content structure, it does not guarantee direct citations. AI search visibility also depends on content relevance, keyword usage, and applying specific Generative Engine Optimization methods alongside structured data.