AI Search Optimization (AGO) Specialist

As an AI Search Optimization (AGO) Specialist, your role will involve improving how brand, content, and products are displayed across AI-powered search engines like ChatGPT, Claude, Gemini, Perplexity, and agent ecosystems. You will be responsible for optimizing brand presence, building structured knowledge entities, converting content into AI-ready formats, and running continuous testing to ensure accurate and favorable representation of the brand within AI-generated answers. Your key responsibilities will include: - AI Search Optimization & Entity Management - Optimize brand presence inside LLMs and AI search platforms - Build and maintain structured knowledge entities such as brand cards, FAQs, and taxonomies - Conduct periodic AI search audits across major LLMs - Improve inclusion, correctness, and ranking inside AI-generated answers - Content Engineering & Structured Data - Convert content into AI-ready formats - Create knowledge packs, semantic clusters, and FAQ schemas - Tag metadata and build content suitable for vector databases - Collaborate with content teams to build prompt-ready assets - Good to have Technical Work (Light ML / Embeddings) - Work with vector databases like Pinecone, Weaviate, and pgvector - Generate embeddings for documents and monitor similarity search - Support simple RAG pipelines in collaboration with engineering - Run re-ranking tests and evaluate retrieval quality - Experimentation & Performance Monitoring - Test LLM responses, track drift, and refine optimization strategies - Run A/B experiments inside AI search engines - Build dashboards for AI search visibility and entity recall rates - Cross-functional Collaboration - Work with SEO, product, content, and AI engineering teams - Provide insights for website updates, product descriptions, and brand narratives - Ensure consistency across human search (Google) and AI search (SGE + LLMs) Qualifications: - 2-3 years of experience in SEO, content strategy, data analytics, or AI operations - Hands-on experience with ChatGPT, Claude, or Perplexity analysis - Basic familiarity with embeddings and vector search (training provided) - Strong analytical and writing skills - Ability to work with structured content systems Nice to Have: - Experience with Python, LangChain, or RAG frameworks - Experience in schema markup/knowledge graph work - Prior AI content engineering or LLM experimentation - Experience with data platforms or APIs In this role, you will be using tools such as ChatGPT, Claude, Gemini, Perplexity, Pinecone, Weaviate, Qdrant, Chroma, LangChain, LlamaIndex, Google SGE tools, and various analytics tools. The hiring process will involve an intro call/short editing assignment, a 30-minute interview focusing on editorial and newsroom fit, and a final discussion leading to an offer. As an AI Search Optimization (AGO) Specialist, your role will involve improving how brand, content, and products are displayed across AI-powered search engines like ChatGPT, Claude, Gemini, Perplexity, and agent ecosystems. You will be responsible for optimizing brand presence, building structured knowledge entities, converting content into AI-ready formats, and running continuous testing to ensure accurate and favorable representation of the brand within AI-generated answers. Your key responsibilities will include: - AI Search Optimization & Entity Management - Optimize brand presence inside LLMs and AI search platforms - Build and maintain structured knowledge entities such as brand cards, FAQs, and taxonomies - Conduct periodic AI search audits across major LLMs - Improve inclusion, correctness, and ranking inside AI-generated answers - Content Engineering & Structured Data - Convert content into AI-ready formats - Create knowledge packs, semantic clusters, and FAQ schemas - Tag metadata and build content suitable for vector databases - Collaborate with content teams to build prompt-ready assets - Good to have Technical Work (Light ML / Embeddings) - Work with vector databases like Pinecone, Weaviate, and pgvector - Generate embeddings for documents and monitor similarity search - Support simple RAG pipelines in collaboration with engineering - Run re-ranking tests and evaluate retrieval quality - Experimentation & Performance Monitoring - Test LLM responses, track drift, and refine optimization strategies - Run A/B experiments inside AI search engines - Build dashboards for AI search visibility and entity recall rates - Cross-functional Collaboration - Work with SEO, product, content, and AI engineering teams - Provide insights for website updates, product descriptions, and brand narratives - Ensure consistency across human search (Google) and AI search (SGE + LLMs) Qualifications: - 2-3 years of experience in SEO, content strategy, data analytics, or AI operations - Hands-on experience with ChatGPT, Claude, or Perplexity analysis - Basic familiarity with em