GEO Lead (Generative Engine Optimization / AI Search Optimization)

Role: GEO Lead (Generative Engine Optimization / AI Search Optimization)
Location: Remote
Duration: 12 Months
 
Job Description:
The GEO Lead will partner with the Director SEO & ASO to define and drive client's enterprise strategy for Generative Engine Optimization (GEO)- also known as AEO, AIO, or AI Search Optimization, ensuring our brands, destinations, and hotels are discoverable and accurately represented across emerging AI search ecosystems (e.g., Google AI Overviews & AI Mode, ChatGPT, Gemini, Claude, Perplexity, etc.).
This role bridges traditional SEO with the next era of AI-driven discovery — shaping how client’s content is understood, cited, and surfaced by large language models (LLMs) and answer engines. The GEO Lead will partner closely with SEO, Innovation, Engineering, Product, Content, and Analytics teams to define the roadmap, measurement framework, and technical readiness for AI search visibility at scale.
 
Responsibilities
Strategy & Leadership

• In partnership with the Director, SEO & ASO, ;ead the creation and execution of client’s GEO strategy, integrating generative search readiness into existing SEO, content, and product workflows.
• Translate emerging LLM behaviors, AI search features, and ecosystem shifts into actionable enterprise initiatives and product features.
• Define the reporting and measurement framework for GEO, including custom KPIs such as AI citation share, answer-engine visibility, and generative query coverage.
• Partner with the Director, SEO & ASO to guide clients long-term vision for search discoverability in AI environments.
• Build internal alignment across Marketing, Product, and Technology teams to embed GEO best practices globally.

 
Optimization & Experimentation

• Develop a deep understanding of LLM “levers” — the content, structure, and technical signals influencing model training, retrieval, and response ranking.
• Collaborate with content teams to ensure site and destination content is structured, entity-rich, and optimized for machine comprehension.
• Partner with technical SEO and engineering teams to strengthen structured data, API accessibility, and entity mapping to improve AI indexability.
• Design and run controlled experiments to evaluate how changes in content architecture, data exposure, or prompt structures affect generative visibility.

 
Measurement & Insights

• Define and maintain new GEO KPIs in collaboration with Analytics (Adobe, Tableau, GSC, BigQuery, etc.).
• Build dashboards to track performance across AI search platforms (e.g., AI Overview impressions, LLM citations, brand mentions).
• Conduct competitive and market analyses to identify patterns in generative visibility and inform future content or technical enhancements

 
Technical & Product Collaboration

• Partner with Product and Engineering to ensure client’s platforms (including MCP servers, APIs, and content delivery systems) are AI-crawlable and entity-aware.
• Support development of scalable solutions for structured data, metadata, and API-based content distribution to AI models and answer engines.
• Collaborate on product roadmap discussions where SEO and GEO capabilities intersect (e.g., content modules, structured data feeds, headless CMS integrations).

 
Enablement & Evangelism

• Educate internal stakeholders on GEO trends, LLM behavior, and evolving AI search opportunities.
• Develop playbooks, training materials, and workflows to help regional and brand teams apply GEO best practices.

 
Qualification

• 5–8 years in SEO, digital strategy, or technical search optimization, with a focus on enterprise-scale websites.
• Strong understanding of LLMs, generative AI search, and how models retrieve, summarize, and rank information.
• Proven ability to design measurement frameworks and KPIs for emerging digital channels.
• Solid grounding in structured data, schema markup, entity optimization, and API integration.
• Experience collaborating cross-functionally across marketing, analytics, and product/engineering teams.
• Excellent communication and storytelling skills; able to translate technical insights into strategic recommendations.

 
Preferred:

• Familiarity with MCP (Model Context Protocol) servers, APIs, and headless CMS architectures.
• Experience working with enterprise analytics stacks (Adobe Analytics, Tableau, GSC, Looker, BigQuery), as well as LLM visibility tracking platforms.
• Prior experience in product management, experimentation, or AI-driven content systems.
• Hospitality or travel industry experience a plus.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 80.00/hr.