AI Search Optimization Specialist - Part-Time Freelance
Overview/About Lumanity
Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complimentary areas of focus: Asset Optimization and Commercialization, Value Access and Outcomes, Medical Strategy and Communications, and Real-World Evidence.
Responsibilities / Position overview
The AI Search Optimization Specialist (internally known as "LLM Optimization Specialist") supports Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and AI Search Optimization (AISO) initiatives by improving discoverability across AI-driven answer platforms and traditional search engines, while driving organic visibility, citation performance, and actionable insights for clients.
This is a part-time freelance position estimated at 10-20 hour per week.
Qualifications
Required Education/Skills/Experience
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Familiarity with natural language processing (NLP) concepts, entity optimization, and topical authority building
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Hands-on experience conducting detailed prompt research using SEO/AI-SEO intelligence tools (e.g., BrightEdge, SEMRush); Google Search Console experience required, SEMRush experience preferred
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Experience identifying and disavowing toxic backlinks
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Ability to build, validate, and quality-check (QA) JSON-LD/Schema markup and llms.txt files
Preferred Qualifications
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Experience with dedicated healthcare provider (HCP) AI platforms is a major plus (e.g., OpenEvidence, Doximity Ask, Medscape AI), including experience with paid placement opportunities on these platforms.
Originally posted on Himalayas
This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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