About the Role :

We are looking for a forward-thinking GEO Specialist to drive visibility and discoverability across AI-powered search platforms.

This role sits at the intersection of AI, search, content, and growth, helping shape how content is surfaced, ranked, and consumed by Large Language Models and answer engines.

Responsibilities :

- Build and optimize AI-first content and data pipelines for improved discoverability across LLM platforms.

- Design and execute Generative Engine Optimization (GEO) strategies to enhance AI search visibility.

- Improve content ranking through prompt optimization, semantic structuring, and retrieval enhancements.

- Optimize structured and unstructured data for AI consumption using metadata, embeddings, and knowledge frameworks.

- Develop and enhance RAG-based content retrieval and search experiences.

- Collaborate with Product, Marketing, Content, and Engineering teams to improve AI-driven discoverability.

- Analyze AI search behavior and ranking patterns to identify optimization opportunities.

- Implement Answer Engine Optimization (AEO) strategies for direct-answer and conversational search experiences.

- Monitor AI search performance and continuously refine optimization strategies based on user query patterns.

- Stay ahead of emerging trends in AI search, LLM ecosystems, and content discovery technologies.

Requirements :

- 3+ years of experience in SEO or Technical SEO, with at least 1 year of hands-on experience in GEO, AI Search Optimization, or related AI-driven search initiatives.

- Strong understanding of SEO, AEO, and Generative Engine Optimization principles.

- Experience optimizing content, metadata, structured data, and semantic content frameworks for discoverability.

- Exposure to AI platforms such as ChatGPT, Gemini, Claude, Perplexity, or similar LLM ecosystems.

- Hands-on experience with prompt engineering, embeddings, vector search, semantic search, or RAG-based systems.

- Strong understanding of user search behavior, query optimization, and AI-driven content ranking.

- Knowledge of schema markup, knowledge representation, context engineering, and AI-ready content structuring.

- Ability to translate search insights into scalable content and growth strategies.

- Strong analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications :

- Experience with AI content tools, LLM APIs, AI analytics platforms, or search intelligence tools.

- Exposure to Growth Marketing, Performance Marketing, Product-Led Growth, or Content Strategy.

- Understanding of AI evaluation frameworks, ranking signals, and retrieval optimization techniques.

- Experience working in digital-first organizations, SaaS companies, fintech firms, consumer-tech businesses, or leading digital marketing agencies.

- MBA (Marketing) or BE/BTech in IT, Computer Science, AI, ML, Information Science, or related disciplines.

Why Join :

- Work on one of the fastest-growing domains at the intersection of AI and Search.

- Build next-generation discovery systems for LLM-powered experiences.

- Collaborate across Product, Engineering, Marketing, and AI teams.

- Opportunity to shape how millions of users discover information in the AI era.