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GEO Lead - Generative Engine Optimization​/AI Search Optimization

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: EPITEC
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60 - 72 USD Hourly USD 60.00 72.00 HOUR
Job Description & How to Apply Below
Position: GEO Lead - Generative Engine Optimization / AI Search Optimization

Job Title:

Generative Engine Optimization / AI Search Optimization

Location:

Atlanta, GA

Job Type: Engineering

Expected hours per week: 40 hours week

Schedule:

Hybrid/Remote

Pay Range: 60–72 per hour

Job Description:

The GEO Lead will partner with the Director SEO & ASO to define and drive 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 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.

Required友情链接
  • 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 APIdoi 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, Big Query), 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.
Benefits

Benefits: 80 hours paid time off, paid holidays, medical insurance contributions, dental vision and our 401k retirement savings plan

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