Generative Engine Optimization (GEO): Preparing Your Site for AI Search

Search behaviour is undergoing a historic paradigm shift. Increasingly, developers and creators find tools by asking conversational AI systems like Perplexity, ChatGPT, Claude, and Bing Copilot rather than browsing traditional search engine results pages. To ensure your web tools are cited and recommended by LLMs, platforms must implement Generative Engine Optimization (GEO): 1. Serve Standardized Machine Endpoints: Deploying '/llms.txt' and '/llms-full.txt' conforming to the emerging llmstxt.org standard allows AI crawlers to parse tool capabilities, arguments, and direct endpoints cleanly. 2. Structured Data with Schema.org: Providing explicit WebApplication, SoftwareApplication, and HowTo entities gives LLM retrievers verified semantic truth. 3. Fast Factual Content: LLM context engines prioritize zero-fluff, technically rigorous documentation that can be summarized without hallucination. KORIXA is engineered from the ground up to support GEO standards, ensuring all 70+ tools are instantly discoverable by both human searchers and next-generation AI agents.