As an AI Search Strategist, you will lead innovative search optimization strategies that help enterprise brands increase their visibility and credibility across AI-powered search engines and generative platforms. You will take ownership of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) programs, guiding clients from initial assessments and strategic planning through implementation and continuous improvement. Combining technical SEO expertise, audience insights, and data-driven analysis, you will help brands become more discoverable and accurately represented in AI-generated answers. You will work closely with content creators, developers, marketing teams, and senior client stakeholders to deliver measurable results. You will also explore emerging AI technologies, develop best practices, and contribute to the evolution of next-generation digital marketing strategies. This is an opportunity to shape a rapidly evolving discipline within a collaborative, creative, and fully remote environment.
AEO and GEO Strategy Development: Lead end-to-end Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for enterprise clients, from initial discovery and baseline assessments through implementation, performance monitoring, and ongoing optimization.
Strategic Planning and Client Advisory: Help clients define meaningful AEO/GEO objectives, translate business priorities into actionable strategies, establish realistic performance targets and KPIs, and develop roadmaps connecting optimization initiatives to measurable business outcomes.
AI Visibility Platform Management: Configure and manage dedicated AI visibility platforms, including Conductor, Profound, Citable, AirOps, Semrush, or similar solutions. Set up topics, prompts, audience personas, competitors, search engines, geographic markets, knowledge bases, and tracking schedules.
Prompt Research and Development: Build and maintain relevant prompt libraries that reflect how target audiences use AI tools throughout different customer journeys and marketing funnel stages. Use audience personas, customer research, and demand data to ensure prompts accurately represent real search behavior.
Technical SEO and AI Discoverability: Conduct website audits to evaluate organic search visibility, crawlability, technical performance, and discoverability across generative search platforms. Identify technical improvements and collaborate with development and IT teams to support implementation.
Structured Data and Website Architecture: Develop recommendations for structured data, schema markup, and website architecture to help search engines and generative AI platforms discover, understand, and accurately reference brand information across complex, multi-market websites.
Content Strategy and Optimization: Guide content development to improve traditional search rankings and increase citations in AI-generated answers. Recommend effective content structures, including FAQ hubs, priority landing pages, answer-first formats, question-based headings, and internal linking strategies.
Third-Party Visibility and Authority: Analyze how external sources, including publishers, review platforms, online communities, forums, and video content, influence brand visibility and representation in AI-generated responses. Identify opportunities to strengthen brand authority and improve external citations.
Analytics and Performance Reporting: Build and maintain dashboards that track organic and AI search performance. Monitor metrics such as brand mentions, citations, share of voice, recommendation strength, competitor visibility, and AI-driven referral traffic.
Data Analysis and Recommendations: Translate complex performance data into clear, prioritized recommendations across owned content, technical SEO improvements, and external visibility opportunities. Explain the expected impact of each initiative to clients and internal stakeholders.
Industry Research and Innovation: Monitor emerging AI search engines, technologies, and optimization methodologies. Experiment with new tools and approaches to identify opportunities for improved client performance.
Internal Knowledge Sharing: Educate internal teams on AEO/GEO strategies, develop best practices, and contribute to the continued growth and development of the organization's AI search capabilities.
Client Communication and Presentation: Present strategic recommendations, performance insights, challenges, and optimization opportunities to senior client stakeholders with clarity, confidence, and professionalism.