AI Optimization Content Strategist

Apple•Sunnyvale, CA

About The Position

The AI Optimization (AIO) Content Strategist is a lead role on Apple’s Marcom Strategy AI Search Strategy team. The role owns hands-on content strategy and SEO/AIO execution of on-page and off-page strategies for a product launch, helping improve Apple’s visibility across AI search, answer engines, and generative search experiences. It applies SEO fundamentals and content strategy principles alongside a practical understanding of how large language models discover, evaluate, and cite content. The strategist defines focus topics, formats, and platforms to grow visibility in LLMs; conducts keyword research, competitive analysis, and tactical testing; and builds prompt libraries for product lines. The role develops recommendations for content creation and page structure, including metadata, schema, headlines, and copy. It monitors how AI systems select and cite content, uses search and prompt-volume data to guide optimization, and turns findings into prioritized recommendations. The strategist also writes short, benefit-focused copy and partners with an AIO Lead Content Strategist and teams across content strategy, data science, media, analytics, engineering, and creative to plan and implement recommendations.

Requirements

  • 10+ years of SEO or organic growth marketing experience in a consumer or e-commerce environment.
  • AEO/GEO experience and knowledge of how LLMs select and cite content.
  • Experience partnering with cross-functional teams such as Strategy, Media, Product, Engineering, and Creative in digital marketing, with a focus on media and search optimization programs.
  • Strong knowledge of SEO fundamentals, including keyword, topic, and search-intent research; page structure and optimization; meta descriptions; headline and body-copy hierarchy; schema; and metadata.
  • Content strategy and copy optimization skills, including writing short, benefit-focused copy and optimizing page content for search.
  • Ability to interpret citations and prompt volumes for search optimization and translate them into recommendations.
  • Ability to derive insights from search-interest data from different sources, organize findings, and distill them into clear, prioritized takeaways.
  • Ability to translate complex technical data into actionable content strategy and marketing insights.
  • Examples of shipped AEO/GEO work with results that can be shown.

Nice To Haves

  • Familiarity with tools such as Profound, Semrush, and Google Trends.

Responsibilities

  • Own AI search optimization (SEO/AEO/GEO) and content strategy work for a product launch, defining focus topics, formats, and platforms to grow LLM visibility.
  • Conduct keyword research, competitive analysis, and tactical testing to drive continuous optimization.
  • Build prompt libraries for specific product lines, identify and prioritize opportunities, and influence content creation with recommendations.
  • Apply content strategy and SEO principles to page structure and optimization, including meta descriptions, headline and body-copy hierarchy, schema, and metadata.
  • Track and interpret how AI systems select and cite content, applying findings to content optimization decisions.
  • Use tools such as Profound, Semrush, and Google Trends to gather search and prompt-volume data and translate outputs into search optimization guidance.
  • Derive insights from multiple sources, organize findings, and create clear, prioritized, usable recommendations.
  • Write short, benefit-focused copy and optimize page content for search while maintaining broader content strategy and brand voice.
  • Partner with content strategy, analytics, media, engineering, and creative teams to incorporate AIO/SEO insights into content planning and structure, and align on and implement recommendations.
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