AEO/GEO LLM Optimization Specialist

About the job

We are seeking an innovative, data-driven AEO/GEO Specialist to maximize our brand’s visibility,

accuracy, and authority in LLM-powered environments. This role fuses advanced SEO practices with deep expertise in LLMs and the evolving AI-driven content ecosystem. The ideal candidate will ensure the company is discoverable, credible, and contextually represented across AI platforms such as ChatGPT, Gemini, Claude, Perplexity, and emerging AI-powered search experiences.

The position requires cross-disciplinary expertise—blending search optimization, AI search behavior analysis, content engineering, and performance tracking—while leveraging cutting-edge tools such as Profound, knowledge graph systems, and schema frameworks to influence generative AI output quality.

Key Responsibilities

Strategy & Research

• Develop and execute a comprehensive AEO (Answer Engine Optimization) and GEO(Generative Engine Optimization) strategy aligned with business objectives.
• Monitor and analyze LLM (Large Language Model) query patterns, AI (Artificial Intelligence)search trends, and knowledge ingestion sources to identify optimization opportunities.
• Conduct competitive AI visibility benchmarking, mapping where and how competitors appear in LLM-generated outputs.
• Leverage Profound and similar AI search insight tools to uncover LLM prompt-response biases, entity gaps, and untapped content opportunities.

Content Optimization & Knowledge Engineering

• Partner with content to produce LLM-friendly, authoritative, and factually precise content. Some may be produced directly through platforms like Profound.
• Structure and tag information to improve AI discoverability, using schema markup, structured data, and knowledge graphs to reinforce machine understanding.
• Ensure entity alignment across all owned content, aligning brand mentions, product descriptions, and topical authority for consistency in LLM-generated responses.
• Experiment with prompt injection, context framing, and content formatting techniques to guide LLM outputs toward brand-preferred narratives.

Technical Integration & AI Discoverability

• Collaborate with web engineering teams to bake AI-visibility best practices into websites, apps, APIs, and content delivery systems.
• Integrate Profound insights into ongoing site architecture and metadata updates for AI-driven query alignment.
• Maintain a structured AI content repository for feeding LLMs via open knowledge bases, public APIs, and high-authority data sources. Measurement & Continuous Improvement
• Define and track KPIs unique to AI search ecosystems, including LLM brand mention frequency, position in AI summaries, and knowledge panel visibility.
• Use A/B testing frameworks to measure the impact of content, structure, and metadata changes on LLM outputs.
• Continuously refine strategies based on LLM output audits, Profound analytics, and real-world AI query testing.

Key Qualifications

• Solid background of 5 years in SEO (Search Engine Optimization) with a strong understanding of its principles, algorithms, data schema, and knowledge graphs.
• Deep understanding of how Large Language Models (LLMs like Claude, ChatGPT, Gemini,Perplexity) work, including training data, prompt engineering, and semantic search.
• Hands-on experience with AI search platforms, including knowledge of how LLMs select and present content. Familiarity with tools like Profound, Gauge, or similar.
• Very knowledgeable on AEO (Answer Engine Optimization and GEO (Generative Engine Optimization), and how they differ from traditional SEO. Proven capability to improve brand presence through LLM answers.
• Ability to structure content that LLMs will be able to discover, extract, and cite in their responses to search queries.
• Ability to define and track LLM specific KPIs and use A/B testing to impact LLM outputs.
• Understanding of Content Management Systems and web architecture.
• Bachelor’s degree in Computer Science, Digital Marketing, or related disciplines. Certifications in SEO/AEO/GEO and emerging AI marketing disciplines will be a plus.

Job Type: Full-time

Pay: ₹40,000.00 - ₹60,000.00 per month

Work Location: In person