Generative Search
What is Exa: The Hidden Search Infrastructure Revolutionizing Generative Search Optimization
Why Understanding Embeddings-Based Search Is Critical for GSO Success The content optimization landscape has fundamentally shifted, yet most businesses remain completely unaware of the infrastructure powering this transformation.
What is RAG? Uncover the Power of Retrieval-Augmented Generation in AI
Imagine having an AI assistant that doesn’t just rely on its training data but can actively search through vast databases, documents, and knowledge bases to provide you with the most accurate, up-to-date information possible. This isn’t science fiction—it’s the revolutionary power of Retrieval-Augmented Generation (RAG), the secret weapon behind today’s most sophisticated AI systems.
What is Generative Search Optimization?
Generative Search Optimization (GSO) is the practice of optimizing website content to achieve maximum visibility and citation within AI-powered search engines like Google AI Overview, ChatGPT, Gemini, Perplexity and Claude, focusing on getting content selected and referenced in AI-generated responses rather than traditional search rankings.
How Generative Search Works: A Deep Dive into AI-Powered Information Discovery
Building on our introduction to Generative Search Optimization (GSO), this comprehensive guide explores the technical mechanisms behind generative search, examines its benefits and limitations, and compares how different AI platforms approach information discovery and citation.