AI Search Strategist
Terra
AI Search Strategist
Terra
Aggregates health data for developers
Salary Range: 100000 to 130000 (Currency: USD) (Pay period: per-year-salary)
We’re looking for a strategist who has already made the leap from SEO to AI search and is ready to lead what comes next. You’ve run AEO and GEO programs hands-on, you know your way around at least one major AI visibility platform, and you’re fascinated by how AI is changing the way people find information.
In this role, you’ll own AEO and GEO programs for enterprise clients from start to finish: building prompt baselines, running AI visibility platforms, shaping structured data strategy across complex multi-market sites, closely collaborating on content strategy, and reporting on what’s working. If you’re passionate about helping brands earn visibility and trust in AI-generated answers, we’d love to meet you.
You have at least 1 year of hands-on AEO/GEO experience, including configuring, operating, and reporting from at least one dedicated AI visibility platform (e.g., Conductor, Profound, Citable, AirOps, Semrush).
You have 5+ years of SEO experience, with a proven record of driving measurable growth through technical, on-page, and content-based strategies.
You know how to structure content, data, and site architecture so that both search engines and generative engines can discover, surface, and cite brand information accurately. You understand the schema options available, know which fit each page type, and can write clear recommendations for developers to implement.
You have a strong grasp of audience strategy, including personas, customer journeys, and the marketing funnel, and you can translate it into prompt sets that reflect how real people ask AI tools for information at each stage.
You understand that AI visibility depends on more than a brand's own website. You understand how third-party content, from publishers and review sites to forums and video, can shape what AI engines say, and you can turn citation and visibility data into clear, prioritized recommendations.
You're data-driven and would be comfortable working in GA4 or Adobe Analytics, Google Search Console, and Looker Studio.
You stay ahead of how AI and generative search are evolving, and you're eager to experiment, learn, and lead in this landscape.
You use AI tools like Claude as part of your everyday workflow, from building decks and drafting briefs to analyzing data and automating data pulls, or you're a quick learner who's eager to work this way. You know where AI speeds up the work and where human judgment matters most.
You're a confident, tactful presenter who can explain findings, blockers, and recommendations to senior stakeholders.
Agency experience is a plus. Nice to have: Experience in regulated industries such as healthcare or pharmaceuticals, including content subject to legal or regulatory review.
Lead AEO/GEO strategy for key clients, from discovery and baseline through execution and ongoing optimization, combining technical expertise with creative and analytical thinking.
Help clients define what AEO/GEO success means for their business. Turn broad mandates into a clear recommendation on what an optimized website looks like, set realistic goals and KPIs, and build roadmaps that connect the work to business outcomes.
Configure and manage AI visibility platforms, including topics, prompt sets, personas, competitors, engines, markets, knowledgebases, and tracking cadence.
Build and maintain prompt sets that reflect how each client's audiences actually use AI tools, grounding prompts in personas, customer journeys, and demand data.
Audit websites for search visibility, crawlability, and AI discoverability, and recommend technical fixes, partnering with development and IT teams on implementation.
Turn data into clear, prioritized recommendations across owned content, technical fixes, and off-site opportunities, and show clients what each action is expected to move.
Guide content strategy to help writers produce content that ranks well and gets cited by generative models, from FAQ hubs and priority pages to answer-first structure, question-based headings, and internal linking.
Build and maintain dashboards that visualize organic and AI visibility, and report on metrics like brand mentions, citations, share of voice, recommendation strength, competitor movement, and AI referral traffic.
Research emerging tools and AI engines, educate internal teams on AEO/GEO best practices, and help leadership grow our AEO/GEO offering.
Terra aggregates and structures health and fitness data from multiple sources (e.g., Garmin, Fitbit, Oura) and provides a developer-focused API. It ingests data in various formats, normalizes it into a consistent data model, and exposes it through structured endpoints, along with debugging tools and comprehensive documentation, so businesses can access reliable health data for their applications. The product is designed for B2B use, selling access to its data to other companies, not individual users. Terra differentiates itself by targeting developers with strong testing and support tooling, extensive docs, and an expanding set of integrations (WearOS, Apple SDKs, iHealth, FatSecret, FreestyleLibre), while maintaining HIPAA compliance to ensure data privacy and security. Its goal is to become a trusted data backbone for health and fitness data, enabling other businesses to build health-tech applications quickly and securely.
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