AI Search Optimization Specialist

Role Overview: You will be responsible for optimizing AI search and generative engine processes to enhance discoverability and visibility across Large Language Model (LLM) platforms and AI-driven search ecosystems. Additionally, you will collaborate with cross-functional teams to ensure content is structured and optimized for AI retrieval systems. Your role will involve conducting experiments, analyzing user search behavior, and staying updated on evolving AI search trends to align optimization strategies with business objectives. Key Responsibilities: - Build and optimize AI-first content and data pipelines for better discoverability and visibility on LLM platforms and AI-driven search ecosystems. - Design and implement Generative Engine Optimization (GEO) strategies to enhance ranking and visibility within AI-generated search results and conversational interfaces. - Drive Answer Engine Optimization (AEO) initiatives to improve direct answer-based discovery and AI response relevance. - Optimize content, prompts, metadata, semantic structures, and contextual signals to enhance AI search performance. - Collaborate with product, content, and marketing teams to ensure AI-consumable and semantically structured content. - Work on prompt optimization, retrieval structuring, and RAG-based content optimization systems. - Develop frameworks for AI-friendly content structuring across various AI platforms. - Conduct experiments on GEO, AEO, semantic search optimization, and AI content ranking methodologies. - Use analytics tools and AI performance metrics to evaluate ranking signals and optimize content discoverability. - Stay updated on evolving AI search trends and contribute to scalable AI search optimization frameworks. Qualifications Required: - 3+ years of experience in SEO with expertise in GEO, AI Search Optimization, AEO, or AI/ML-driven search optimization. - Strong understanding of AI/LLM ecosystems like ChatGPT, Google Gemini, and AI-driven search platforms. - Experience in content optimization, structured data, semantic search systems, and metadata tagging. - Knowledge of prompt engineering, vector search, semantic retrieval, and RAG systems. - Ability to analyze user search behavior and optimize content strategies. - Understanding of AI-consumable content structuring and knowledge representation. - MBA in Marketing OR BE/BTech in IT, Information Science, AI, ML, or related fields. - Female candidates are preferred. - Exposure to growth marketing, performance marketing, or digital acquisition strategies is advantageous. (Note: Additional details of the company are not provided in the job description.) Role Overview: You will be responsible for optimizing AI search and generative engine processes to enhance discoverability and visibility across Large Language Model (LLM) platforms and AI-driven search ecosystems. Additionally, you will collaborate with cross-functional teams to ensure content is structured and optimized for AI retrieval systems. Your role will involve conducting experiments, analyzing user search behavior, and staying updated on evolving AI search trends to align optimization strategies with business objectives. Key Responsibilities: - Build and optimize AI-first content and data pipelines for better discoverability and visibility on LLM platforms and AI-driven search ecosystems. - Design and implement Generative Engine Optimization (GEO) strategies to enhance ranking and visibility within AI-generated search results and conversational interfaces. - Drive Answer Engine Optimization (AEO) initiatives to improve direct answer-based discovery and AI response relevance. - Optimize content, prompts, metadata, semantic structures, and contextual signals to enhance AI search performance. - Collaborate with product, content, and marketing teams to ensure AI-consumable and semantically structured content. - Work on prompt optimization, retrieval structuring, and RAG-based content optimization systems. - Develop frameworks for AI-friendly content structuring across various AI platforms. - Conduct experiments on GEO, AEO, semantic search optimization, and AI content ranking methodologies. - Use analytics tools and AI performance metrics to evaluate ranking signals and optimize content discoverability. - Stay updated on evolving AI search trends and contribute to scalable AI search optimization frameworks. Qualifications Required: - 3+ years of experience in SEO with expertise in GEO, AI Search Optimization, AEO, or AI/ML-driven search optimization. - Strong understanding of AI/LLM ecosystems like ChatGPT, Google Gemini, and AI-driven search platforms. - Experience in content optimization, structured data, semantic search systems, and metadata tagging. - Knowledge of prompt engineering, vector search, semantic retrieval, and RAG systems. - Ability to analyze user search behavior and optimize content strategies. - Understanding of AI-consumable content structuring and knowledge representation. - M