Role Description
We are looking for a results-driven and strategic AI Search & GEO Specialist with 5+ years of SEO experience, including at least 2 years of hands-on work in AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). The ideal candidate has a strong foundation in technical SEO, content strategy, experimentation, and analytics, and understands how AI-powered search platforms discover, retrieve, and cite content.
Youβll be responsible for improving visibility, citations, and qualified referral traffic across AI-driven platforms such as ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. This role requires someone who can work cross-functionally with engineering, content, product, and marketing teams while staying deeply analytical and up to date on how AI search is evolving.
Responsibilities
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Plan, implement, and manage end-to-end AEO/GEO strategies to grow visibility, citations, and referral traffic from AI-powered search platforms.
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Identify high-value topics, questions, and user intents where content should appear in AI-generated answers.
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Monitor AI visibility, brand mentions, citation frequency, and share of voice against competitors.
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Conduct technical audits to find and fix barriers that stop AI systems from accessing and understanding content, including crawler access, rendering, structured data, and site architecture.
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Collaborate with content teams to optimize existing and new content for AI-driven discovery while maintaining quality and accuracy.
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Develop scalable AEO/GEO guidelines and best practices for teams to apply consistently across content.
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Design and run controlled experiments with clear baselines and success metrics, then scale the approaches that work.
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Build dashboards and attribution models to track AI referral traffic, engagement, and conversions separately from traditional organic search.
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Work cross-functionally with engineering, product, editorial, and marketing teams to prioritize and implement improvements.
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Stay current with AI search platform changes, crawler policies, and citation behavior, and adjust strategy proactively.
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Take ownership of AI search KPIs and continuously test, iterate, and optimize for performance.
Qualifications
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5+ years of SEO experience, including at least 2 years of hands-on AEO/GEO or AI search visibility work.
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Proven track record of driving organic growth on large, content-heavy websites.
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Strong expertise in technical SEO, including crawling, indexing, JavaScript rendering, structured data, and canonicalization.
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Solid understanding of how AI search, LLMs, and retrieval-augmented generation (RAG) work.
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Familiarity with AI crawlers, robots.txt controls, and content access policies.
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Experience designing experiments and showing measurable business impact.
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Proficiency with SEO and analytics tools such as Google Search Console, GA4, Semrush, Ahrefs, and Screaming Frog.
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Experience with AI visibility platforms such as Profound, Peec AI, or Semrush AI Visibility is a plus.
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Working knowledge of SQL, Python, or APIs for analysis and automation is a plus.
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Experience in scientific publishing, academic content, or EdTech is a plus.
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Strong analytical mindset and ability to turn data into clear recommendations.
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Self-starter with an ownership mindset, able to manage multiple projects and communicate well across teams.
Benefits
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A competitive compensation package.
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You will make a direct impact in accelerating science research and in improving student learning in science education.
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Opportunity to work with global teams and in an environment that promotes innovation and collaboration.
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Our strong promotion from within culture draws a clear path to advance your career with us.