Responsibilities

• AI Ecosystem Intelligence: Actively monitor, research, and analyze the AI landscape, focusing on LLMs, recommendation algorithms, multimodal AI, and agentic systems relevant to our industry and customer discovery pathways. Understand how these models gather, prioritize, and present information.
• AIO Strategy & Roadmap: Develop, implement, and own the overarching AI Optimization strategy and roadmap, aligning efforts with business objectives and anticipating future AI developments. Advise on any 3P tools or partnerships needed to continue building Kepler's Search+ practice.
• Content & Data Structuring for AI: Collaborate closely with content creators, marketing teams, and product managers to ensure our digital content and data are structured, accurate, unambiguous, and optimized for AI comprehension (including GEO and AEO) and factual recall.
• AI Perception Management: Analyze how online reviews, third-party data sources, and public knowledge bases shape AI's understanding and sentiment towards our brand and products. Develop proactive and reactive strategies to ensure accuracy and positive positioning.
• Cross-Platform Optimization: Extend AIO principles to mobile applications, ensuring data consistency and optimizing for discovery within app stores and AI systems that interact with app data.
• Measurement & Analysis: Define key metrics and establish methodologies to measure the effectiveness of AIO initiatives. Track visibility, accuracy, and sentiment within AI outputs and report on performance and insights.
• Internal Expertise & Advocacy: Act as the primary internal expert on AI Optimization, educating stakeholders across marketing, product, and technology on best practices and the strategic importance of AIO.
• Technical Foundation Optimization: Partner with technical SEO and web development teams to implement and refine website architecture, structured data markup (Schema.org, etc.), API accessibility, page speed, and other technical elements crucial for effective AI crawling and data interpretation.
• Experimentation & Innovation: Design and execute tests to evaluate different AIO tactics. Stay informed about cutting-edge AI research and proactively adapt strategies to maintain a competitive advantage.