
AEO/GEO LLM Optimization Specialist
4 days ago
• 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 appearin 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, structureddata, and knowledge graphs to reinforce machine understanding.
• Ensure entity alignment across all owned content, aligning brand mentions, productdescriptions, and topical authority for consistency in LLM-generated responses.
• Experiment with prompt injection, context framing, and content formatting techniques to guideLLM 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-drivenquery alignment.
• Maintain a structured AI content repository for feeding LLMs via open knowledge bases, publicAPIs, and high-authority data sources.Measurement & Continuous Improvement
• Define and track KPIs unique to AI search ecosystems, including LLM brand mentionfrequency, position in AI summaries, and knowledge panel visibility.
• Use A/B testing frameworks to measure the impact of content, structure, and metadatachanges on LLM outputs.
• Continuously refine strategies based on LLM output audits, Profound analytics, and real-worldAI query testing.Key Qualifications
• Solid background of 5+ years in SEO (Search Engine Optimization) with 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 andpresent content. Familiarity with tools like Profound, Gauge or similar.
• Very knowledgeable on AEO (Answer Engine Optimization and GEO (Generative EngineOptimization), and how they di^er from traditional SEO. Proven capability to improve brandpresence through LLM answers.
• Ability to structure content that LLMs will be able to discover, extract and cite in its responsesto 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. Certificationsin SEO/AEO/GEO and emerging AI marketing disciplines will be a plus.Write to to get connected
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