GEO Specialist (AI, GEO, AEO)

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

1Strong Engineer-to-SEO profile

2Mandatory (Experience 1): Must have 4+ years of overall professional experience, with meaningful experience in SEO roles.

3Mandatory (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.

4Mandatory (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.

5Mandatory (Skills 2): Good understanding of LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms.

6Mandatory (Education) - Must have an engineering background with a B.Tech / B.E. or equivalent engineering degree.

7Mandatory (Company): Candidates from Digital-first companies, consumer tech, fintech, SaaS, or marketing agencies with strong exposure to search/content optimization

8Mandatory (Age)—The candidate's age should be below 28 years