AI Search Strategist

Terra

2d•$100,000 - $130,000•Remote

About The Position

Terra is seeking an AI Search Strategist to lead answer engine optimization (AEO) and generative engine optimization (GEO) programs for enterprise clients. The role spans discovery, baseline development, execution, and ongoing optimization, combining technical SEO expertise with audience, content, and data strategy. The strategist will define success measures and roadmaps, manage AI visibility platforms, develop audience-informed prompt sets, advise on structured data and site architecture, and translate organic and AI visibility data into prioritized recommendations and business outcomes. The position also involves collaborating with content, development, and IT teams; advising writers on content that can rank and be cited by generative models; building dashboards and reporting to clients; tracking emerging tools and AI engines; educating internal teams; and helping leadership develop Terra’s AEO/GEO offering. Terra is a digital marketing and creative agency with an integrated international team serving organizations around the world.

Requirements

At least 1 year of hands-on AEO/GEO experience, including configuring, operating, and reporting from at least one dedicated AI visibility platform.
At least 5 years of SEO experience and a proven record of driving measurable growth through technical, on-page, and content-based strategies.
Knowledge of structuring content, data, and site architecture so search engines and generative engines can discover, surface, and cite brand information accurately.
Understanding of schema options, how they fit different page types, and how to write clear implementation recommendations for developers.
Strong grasp of audience strategy, including personas, customer journeys, and the marketing funnel, and ability to translate these into relevant prompt sets.
Understanding of how third-party sources such as publishers, review sites, forums, and video affect AI-generated answers, and ability to turn citation and visibility data into prioritized recommendations.
Comfort working with GA4 or Adobe Analytics, Google Search Console, and Looker Studio.
Interest in keeping up with evolving AI and generative search and willingness to experiment, learn, and lead.
Ability to use AI tools such as Claude in everyday work, or to learn quickly; understanding of where AI can accelerate work and where human judgment matters.
Confident, tactful presentation skills, including the ability to explain findings, blockers, and recommendations to senior stakeholders.

Nice To Haves

Agency experience.
Experience in regulated industries such as healthcare or pharmaceuticals, including content subject to legal or regulatory review.
Experience with AI visibility platforms such as Conductor, Profound, Citable, AirOps, or Semrush.

Responsibilities

Lead AEO/GEO strategy for key clients from discovery and baseline through execution and ongoing optimization.
Help clients define AEO/GEO success, recommend what an optimized website should look like, set goals and KPIs, and build roadmaps tied 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 grounded in client personas, customer journeys, audience behavior, and demand data.
Audit websites for search visibility, crawlability, and AI discoverability, and recommend technical fixes in partnership with development and IT teams.
Turn data into prioritized recommendations for owned content, technical fixes, and off-site opportunities, including expected impact.
Guide content strategy so writers can create content that ranks and is cited by generative models, including FAQ hubs, priority pages, answer-first structures, question-based headings, and internal linking.
Build and maintain dashboards for organic and AI visibility and report on 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 the AEO/GEO offering.
Present findings, blockers, and recommendations to senior stakeholders.