
Generative Engine Optimisation Executive (GEO, AEO)
Listing checked June 5, 2026 · pay as published by Talentxo
Overview
This role focuses on building and optimizing AI-first content and data pipelines to improve visibility across LLM platforms. You will design and implement Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) strategies, while collaborating with marketing and product teams to ensure content is AI-consumable and discoverable.
What You'll Do8
- 1Build and optimize AI-first content and data pipelines to improve visibility across LLM platforms
- 2Design and implement Generative Engine Optimization (GEO) strategies (next-gen SEO for AI search)
- 3Work on prompt optimization, retrieval structuring, and semantic ranking for AI systems
- 4Collaborate with marketing and product teams to ensure content is AI-consumable and discoverable
- 5Optimize structured and unstructured data for LLM ingestion (RAG pipelines, embeddings, metadata tagging)
- 6Analyze how AI systems surface content and continuously improve ranking signals within AI outputs
- 7Experiment with AEO (Answer Engine Optimization) techniques for direct answer-based discovery
- 8Monitor performance using AI analytics tools and refine strategies based on user query patterns
Requirements7
- 13+ years of SEO experience with 1+ years in GEO or Tech GEO (AI/ML Engineering)
- 2Deep hands-on experience in SEO, AEO, or emerging GEO including content ranking, keyword/query optimization, or search visibility strategies
- 3Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms
- 4Experience working on content optimization, structured data, metadata tagging, or semantic search systems
- 5Hands-on exposure to prompt engineering, embeddings, vector search, or RAG-based systems
- 6Understanding of content structuring for AI consumption (schema, context building, knowledge representation)
- 7MBA in Marketing OR BE/BTech in IT / Information Science / AI / ML or related fields
Who Should Apply
The ideal candidate understands the shift from SEO to AEO to GEO, combining AI, content, and search optimization. Candidates from digital-first consumer tech, fintech, SaaS, or marketing agencies with strong exposure to search optimization are preferred. Female candidates are highly preferred, and practical experience from Tier 2/3 colleges is valued.
Salary Insight
Compensation is open to discussion.
Pay and demand for Machine Learning & AI roles
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$75/hour
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Most Machine Learning & AI roles pay $55–$100 per hour.
Based on 517 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave
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Most requested skills · share of roles
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- technical writing8%
- llm evaluation7%
- ai evaluation7%
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