GEO Knowledge Base — AI Visibility Guides

Understanding Generative Engine Optimization

Generative Engine Optimization (GEO) is the practice of making web content discoverable and quotable by AI answer engines. This knowledge base covers every aspect of GEO — from technical crawl access (robots.txt, llms.txt, sitemap.xml) to content formatting that LLMs prefer to cite.

GEO Knowledge Categories

• Crawl Access — How to configure robots.txt, llms.txt, and .well-known manifests for AI bots like GPTBot, ClaudeBot, and PerplexityBot
• Content Extractability — Server-side rendering, semantic HTML, heading structure, and content-to-HTML ratio
• Meta & Structured Data — JSON-LD schema markup, Open Graph, Twitter cards, and canonical URLs
• Authority & Trust — Security headers, E-E-A-T signals, brand entity knowledge graphs, and cross-platform presence
• Answer-Format Readiness — Definitions, comparison tables, step-by-step instructions, FAQ blocks, and quotable statistics

GEO Metrics Explained

The AI Visibility Score (0–100) synthesizes 25 categories and 100+ discrete checks into a single actionable number. Each category targets a specific aspect of AI readiness — from whether your robots.txt allows GPTBot to whether your content includes citable definitions and comparison tables.