Technical Search & AI Optimization Specialist (GEO/AEO/SEO/ASO) at Remote

Job Title: Technical Search & AI Optimization Specialist (GEO/AEO/SEO/ASO)
Location: Remote
Duration: 6+ Months Contract

Note: PP Number is Must
No OPT/CPT/H1B T/ EAD

Description: 
Summary: Technical Search & AI Optimization Specialist (GEO/AEO/SEO/ASO)

As the digital landscape shifts from keyword-based retrieval to contextual, AI-driven answers, this role is critical in ensuring our clients'' content is Visible, Trusted, and Understood by both humans and machines.  

You will bridge the gap between high-level Marketing Strategy and technical Delivery, managing the data AI engines consume to predict and control how brands like Libre are represented. This individual will leverage the Adobe Experience Cloud, including Adobe Experience Manager (AEM) and LLM Optimizer, to drive growth and a sophisticated go-to-market strategy.

Required Expertise
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.

Leadership & Professional Skills
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.

Key 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.