Responsibilities

• Implement AI Maturity Frameworks: Execute a three-pillar strategy focusing on Accessibility & Performance (Enhance), Authority & Trust (Establish), and Semantic Clarity (Provide).
• Technical AI Readiness: Manage and update robots.txt files to allow and prioritize major AI crawlers, including GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, and PerplexityBot.
• App Store & Ecosystem Optimization (ASO): Use structured data to confirm app compatibility with sensors and consumer electronics (e.g., Apple Watch).
• Lifecycle Management: Prevent cross-market confusion regarding App and Sensor End-of-Life (EOL) by establishing content freshness for LLMs.
• Content Provenance & Trust: Integrate C2PA Provenance Metadata (digital watermarking) to provide a tamper-evident "nutrition label" for media, signaling authority to AI engines.
• Semantic Data Architecture: Deploy Schema.org markup and automated entity tagging to identify products, locations, and organizations for an "AI agent-view" of content.
• Performance Optimization: Maximize WCAG compliance and optimize Core Web Vitals to ensure AI bots crawl sites quickly and comprehensively.
• Measurement & Analytics: Update Web Log Analytics tags to monitor and report specifically on AI crawler traffic patterns.
• Cross-Functional Collaboration: Partner with MarTech, Marketing Strategy, and Delivery teams to develop content maps (such as llms.txt) that align technical data with brand value.

Requirements

• Adobe Experience Cloud Proficiency: Hands-on experience with Adobe Experience Manager (AEM) and LLM Optimizer to refine content for AI consumption.
• AI-Powered Search Platforms: Broad familiarity across AI platforms (e.g., Search Generative Experience, Perplexity, OpenAI) and their varying crawl behaviors.
• Advanced Technical SEO/AEO/ASO: Proficiency in JSON-LD and Schema implementation, focusing on interoperability and clinical depth (e.g., isRelatedTo properties).
• Data Integrity Standards: Knowledge of C2PA standards, including hashing asset data, creating assertions, and signing claims within a C2PA Manifest.
• Comparative Analysis: Ability to analyze competitor schema to identify technical edges, such as data update frequency or wear time.
• YMYL Content Strategy: Understanding of safety and E-E-A-T signals for high-stakes medical content, linking claims to clinical studies.

Preferred

• Polished & Professional: Ready to "hit the ground running" with a professional demeanor suitable for high-level portfolio management reviews.
• Strategic Growth Driver: Work heavily with MarTech and Marketing teams to transform technical AI readiness into a viable go-to-market strategy.
• Deliberate Content Strategy: Transition from simple tagging to a deliberate approach in writing and tagging content specifically for AI-mediated discovery.
• E-E-A-T Advocacy: Commitment to building digital trust by ensuring AI engines can verify content freshness and authenticity.