Roles & Responsibilities
Build and optimize AI-first content and data pipelines to improve visibility across LLM platforms
Design and implement Generative Engine Optimization (GEO) strategies (next-gen SEO for AI search)
Work on prompt optimization, retrieval structuring, and semantic ranking for AI systems
Collaborate with marketing and product teams to ensure content is AI-consumable and discoverable
Optimize structured and unstructured data for LLM ingestion (RAG pipelines, embeddings, metadata tagging)
Analyze how AI systems surface content and continuously improve ranking signals within AI outputs
Experiment with AEO (Answer Engine Optimization) techniques for direct answer-based discovery
Monitor performance using AI analytics tools and refine strategies based on user query patterns

Ideal Candidate
Strong Engineer-to-SEO profile
Mandatory (Experience 1): Must have 4+ years of overall skilled experience, with meaningful experience in SEO roles.
Mandatory (Experience 2):



Must have 1+ years of hands-on experience in GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or similar AI-driven search optimization, including optimization for conversational and generative search experiences.
Mandatory (Skills 1): Strong understanding of modern SEO, GEO, AEO, and AI/LLM-based ranking, including semantic search, entity optimization, query intent, content relevance, and how generative engines determine and rank information.
Mandatory (Skills 2): Good understanding of LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms.
Mandatory (Education) - Must have an engineering background with a B.Tech / B.E. or equivalent engineering degree.
Mandatory (Company): Candidates from Digital-first companies, consumer tech, fintech, SaaS, or marketing agencies with strong exposure to search/content optimization

📌 GEO Specialist (India)
🏢 Bajaj FinServ
📍 India