AI SEO Engineer

About E2M E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing. Founded on strong business ethics, we are an equal opportunity organisation powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together. If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you About the Role We are looking for a Fresher AI SEO Engineer who is curious about how people search using ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and other AI-powered search platforms. Your main responsibility will be to help improve the visibility of our clients' websites, brands, products, and services in LLM and AI-generated search results for targeted prompts and queries. This role sits at the intersection of SEO, AI, content, data, and experimentation. You do not need years of experience. We are looking for someone who is highly curious, analytical, comfortable experimenting with AI tools, and willing to continuously learn how AI search is evolving. Responsibilities Optimize client websites and content to improve their visibility across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Copilot, and other LLM-powered search platforms. Conduct prompt research to understand what potential customers are asking AI platforms related to a client's products, services, industry, competitors, and buying decisions. Build and maintain a list of target prompts for each client and track how frequently the client's brand appears in AI-generated answers. Research how different LLMs retrieve, understand, rank, cite, and recommend information. Understand how vector embeddings work to map out content retrieval. Understand the fundamentals of how LLMs, search engines, RAG systems, embeddings, knowledge graphs, citations, entities, and web content work together. Analyze why certain competitors or websites are being recommended by LLMs and identify opportunities for clients to improve their presence. Optimize website pages, content structure, internal linking, entities, FAQs, schema, topical coverage, and other signals that can improve visibility in AI search. Work with content teams to create and improve content that directly answers the questions users are asking AI platforms. Identify opportunities to get client brands mentioned, referenced, cited, and recommended across trusted websites and online sources. Understand the US market, especially how small and mid-sized businesses operate, market themselves, generate leads, and make purchasing decisions. Study customer intent across different stages such as: Research Comparison …