What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing content to improve visibility and citations in AI-powered search engines and chatbots.

Unlike traditional SEO, which focuses on ranking in search engine results pages (SERPs), GEO focuses on making your content more likely to be referenced by AI models like ChatGPT, Gemini, and Claude when they answer user queries.

Why GEO Matters

As AI assistants become the primary way users search for information, traditional SEO strategies are no longer enough. GEO helps ensure your content is:

• **Cited by AI models** when answering relevant queries
• **Structured for AI understanding** with clear definitions and context
• **Authoritative and trustworthy** through proper citations and schema markup
• Organization schema
• Article schema
• FAQPage schema
• Product schema (where applicable)
• Clear, concise answers
• Proper heading structure (H2, H3)
• Schema markup for FAQPage

Key Strategies

Here are the essential strategies for effective GEO:

1. Structured Data and Schema Markup

Use JSON-LD schema markup to help AI models understand your content structure. This includes:

2. FAQ Sections and Clear Definitions

AI models frequently cite FAQ content because it provides direct answers to common questions. Include:

3. Comparison Tables and Lists

Structured data like comparison tables and numbered lists help AI models extract and cite information more easily.

4. Authoritative Citations

Link to authoritative sources and cite research. This builds trust signals that AI models recognize.

5. Fresh, Comprehensive Content

Keep content up-to-date and comprehensive. AI models prefer current, well-researched content over outdated information.

Getting Started with GEO

Start by analyzing your current AI visibility using our free tool. Then implement these strategies systematically, focusing on your most important pages first.