Generative Engine Optimization Marketing Specialist

MarketingMarketingFull TimeRemoteMid LevelTeam 5,001-10,000H1B SponsorCompany SiteLinkedIn

Location

Massachusetts

Posted

128 days ago

Salary

$65.7K - $118.3K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglish

Job Description

Generative Engine Optimization Marketing Specialist

Akamai Technologies

• Defining roadmap to maximize brand and product representation in generative search results and AI assistants • Tracking trends, insights and actions in the fast-changing GEO/AEO landscape • Identifying, recommending and collaborating cross-functionally on GEO-first content to outperform in the LLMs • Participating in the content operations process to ensure adherence to SEO and GEO best practices • Ensuring all content is optimized for traditional SEO and emerging GEO requirements • Establishing the operating model across the organization for cross-functional integration • Measuring, monitoring, and adjusting approach accordingly • Linking GEO outcomes to business KPIs • Personalizing approach by LLM for improved outcomes • Doing technical work to make digital properties consumable for LLMs • Supporting regional partners on country-level monitoring and insights

Job Requirements

  • 2 years of relevant SEO, Content Marketing experience
  • Bachelor's degree or its equivalent (GEO/AEO experience preferred)
  • Understanding of modern search + LLM ecosystems
  • Skilled using SEO technologies and AI tools (e.g. Ahrefs, Gemini, Scrunch, Profound)
  • Courage and a distinctive edge
  • Ability to think outside the box and present innovative ideas
  • Pursue intellectual honesty throughout the organization
  • Passion and commitment to the vision

Benefits

  • industry-leading benefits including healthcare
  • 401K savings plan
  • company holidays
  • vacation (in the form of PTO)
  • sick time
  • family friendly benefits including parental leave
  • employee assistance program focusing on mental and financial wellness
  • eligibility requirements apply

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