Neeraj R Chandran

I specialize in Generative Engine Optimization (GEO), AI Search Optimization, and AI Discoverability, helping brands become more visible and accurately represented across ChatGPT, Google AI Overviews, Gemini, Perplexity, and other AI search experiences. My expertise includes entity optimization, semantic SEO, knowledge graphs, E-E-A-T, topical authority, entity-attribute-value modeling, content architecture, query intent, vector search, embeddings, retrieval-augmented generation, and machine-readable content. I focus on building strong entity relationships and contextual signals that help AI systems understand, retrieve, and recommend brands. My approach combines traditional SEO with GEO, AEO, structured data, digital PR, authoritative content, and brand signals to improve AI-driven discovery, visibility, and trust.

My GEO experience also covers optimizing content and digital assets for AI-powered retrieval and answer generation. I analyze how search engines and large language models interpret entities, relationships, context, authority, and user intent. I develop entity-first content strategies, semantic content clusters, contextual internal linking, structured information, and evidence-based content that strengthen a brand’s digital knowledge footprint. I work with concepts such as AI Overviews, answer engine optimization, conversational search, zero-click search, knowledge graphs, vector databases, embeddings, query expansion, entity salience, and information retrieval. My goal is to help brands move beyond ranking for keywords and become recognizable, understandable, trustworthy entities within evolving AI-driven search ecosystems.