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GEO Lead

Job in Sandy Springs, Fulton County, Georgia, USA
Listing for: Eliassen Group
Part Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 70 - 80 USD Hourly USD 70.00 80.00 HOUR
Job Description & How to Apply Below

2 days ago - Be among the first 25 applicants

This range is provided by Eliassen Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$70.00/hr - $80.00/hr

Hybrid - Sandy Springs, GA

Applicants will be local to the Atlanta area and willing to go onsite.

Duration: 12+ Month Contract

Rate: $70- $80 hourly W2

Location: Sandy Springs, GA, 3 days a week onsite

Our industry-leading client is looking for a GEO Lead to partner with the Director to define and drive client’s enterprise strategy for Generative Engine Optimization (GEO). 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.

Due to client requirement, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Responsibilities
  • In partnership with the Director, SEO & ASO, lead the creation and execution of clients 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.
  • 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.
Measurement & Insights
  • Define and maintain new GEO KPIs in collaboration with Analytics (Adobe, Tableau, GSC, Big Query, etc.).
  • Build dashboards to track performance across AI search platforms (e.g., AI Overview impressions, LLM citations, brand mentions).
Technical & Product Collaboration
  • Partner with Product and Engineering to ensure clients platforms (including MCP servers, APIs, and content delivery systems) are AI-crawlable and entity-aware.
  • Collaborate on product roadmap discussions where SEO and GEO capabilities intersect (e.g., content modules, structured data feeds, headless CMS integrations).
  • 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.
Requirements & Qualifications
  • 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, Big Query), as well as LLM visibility tracking platforms.
  • Prior experience in product management, experimentation, or AI-driven content systems.

Direct W-2 employment only – No 3rd Parties – Position not eligible for Visa Sponsorship or Transfer

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available and that may result in pay outside of the range provided.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

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