AEO & GEO Lead

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health is looking for an AEO & GEO Lead to own how our brand and content perform across AI-powered search and discovery. This role will span both our B2B and direct-to-consumer businesses, with responsibility for improving how Spring Health is found, understood and cited by the platforms people increasingly use to research, compare and make decisions.

This is a technical, hands-on role for someone who knows how to turn AEO and GEO into an operating system. You’ll build and run the experimentation engine, test what improves crawlability, retrieval, visibility and citation, ship changes quickly and use the results to decide what to scale. You’ll work across web, data and technical teams to make sure Spring Health’s digital presence is structured to perform as AI discovery continues to evolve, and you'll connect that performance to traffic, demand and pipeline. You’ll own the process end to end. Sometimes that means creating content yourself. Other times it means using AI, briefing a freelancer, working with an internal expert or partnering with web and engineering. The goal is figuring out what gets Spring Health discovered and cited, then building a repeatable system around it. Reporting to the Senior Director, B2B Content and Communications, this is a full time, fully remote position on our team. Occasional travel may be required for team or company events/meetings. 

• →Build and own Spring Health’s company-wide AEO and GEO strategy, spanning both B2B employer and D2C member audiences.
• →Test content, page structures, formats, sources, authorship signals and technical changes to understand what actually drives AI visibility and citation.
• →Monitor how major AI and search platforms crawl, index, retrieve and cite Spring Health information.
• →Partner with Web and Engineering to address technical barriers and improve structured data, schema, semantic HTML, internal linking, site architecture and crawlability.
• →Own onsite/offsite content as discovery and experimentation surfaces.
• →Extend visibility strategies across relevant third-party platforms and communities that influence AI-powered discovery and brand authority.
• →Maximize the long-term discovery value of high-priority content and thought leadership.
• →Ensure AEO and GEO standards are consistently applied across Spring Health's broader digital content ecosystem.
• →Build and own the AEO scorecard. Connect AI discovery performance to traffic, demand and pipeline impact.
• →Use AI and automation extensively to accelerate research, content development, testing, monitoring and analysis.
• →Serve as the company-wide expert on AEO and AI discovery as the space continues to change.
• →You’ll work across communications, marketing, web and other teams to turn Spring Health’s expertise into content that AI engines can find, understand and cite. You’ll have AI tools and flexible creative resources to help you move quickly, while you stay focused on the strategy, experimentation and technical work that drives AI visibility.

• Improve Spring Health’s visibility and citation across priority AI-powered search and answer platforms for B2B and consumer.
• Increase qualified website traffic and engagement from AI-powered search and discovery channels.
• Launch and evaluate a consistent pipeline of AEO and GEO experiments, using results to determine what approaches should be scaled.
• Improve the technical readiness of priority web content for crawling, retrieval and citation, including structured data, site architecture and content structure.
• Demonstrate measurable contribution from AI search and discovery efforts to business outcomes such as leads, opportunities and pipeline.

• 5+ years of experience in technical SEO or search visibility, with full-time focus on AEO and GEO in recent years.
• Hands-on experience improving visibility across AI-powered search and answer engines such as ChatGPT, Gemini, Claude, Perplexity or Google AI experiences.
• A strong understanding of how search engines and LLM-based systems crawl, index, retrieve and cite web content.
• Technical fluency with structured data, schema/JSON-LD, semantic HTML, site architecture, rendering, canonicalization, internal linking and indexing.
• A strong experimentation mindset. You form a hypothesis, get something live, inspect what happened and make the next decision from the evidence.
• Experience with Google Search Console, Semrush, Ahrefs and AI visibility platforms..
• The ability to create and modify content when needed without relying on a traditional editorial production process.
• Strong AI fluency and experience using automation to accelerate research, creation, testing and analysis.
• The ability to brief and manage freelancers and internal subject matter experts to get work shipped quickly.
• Strong analytical judgment. The measurement in this space is still developing, and you need to be comfortable deciding what is signal and what is noise.
• The ability to work effectively with Web, Engineering, Data, Marketing and Communications teams.
• A track record of building new capabilities without waiting for someone else to hand you the playbook.
• Demonstrated ability to connect search and AI visibility performance to pipeline and revenue outcomes.

• Experience with server logs or crawler analysis 
• Basic HTML/CSS, Python or SQL, APIs and automated workflows
• Experience with proprietary research, or healthcare and other regulated categories.
• In-house B2B or B2B SaaS experience is strongly preferred. 

The target base salary range for this position is $153,500 - $177,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.