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About the Role

The Director, Organic Search (SEO/AEO/GEO) provides thought leadership and shares their passion for the discipline of organic search and emerging LLM, AEO, and GEO opportunities for our clients’ businesses.

The ideal candidate has hands-on experience creating and executing organic search strategies, leading client and internal teams through strategy, process, analytics, and cross-discipline collaboration, with a clear history of exceeding client goals and KPIs.

They understand that strong SEO fundamentals are the foundation for AI search visibility, and they know how to extend that foundation into answer-engine and generative-engine strategies that earn brand mentions and citations inside AI-generated answers. This individual will partner with the VP, Integrated Search to help build new product offerings in this fast moving space.

Organic Search Strategy & Innovation (SEO, AEO, and GEO)

Lead Unified Search Strategy: Own the integrated organic search strategy for each client, treating classic SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) as one connected program rather than separate silos.
Maintain Technical & Content Foundations: Build and maintain strong technical and content SEO foundations (crawlability, indexation, rendering, site architecture, page experience, structured data, and helpful, people-first content) as the baseline for classic results and AI search features.
Drive AEO & Direct Answers: Develop AEO strategies that position client content for direct extraction across featured snippets, People Also Ask, knowledge panels, and voice assistants.
Execute GEO & AI Retrieval: Develop GEO strategies that increase how often and how accurately client brands are mentioned, cited, and recommended inside AI-generated answers across Google AI Overviews/AI Mode, ChatGPT, Perplexity, Gemini, Copilot, and Claude.
Modernize Content Architecture & Keyword Research: Shift keyword research toward conversational, question-based, and prompt-based inquiries across the funnel. Guide content structure for answer extraction via clear question-based headings, answer-first summaries, comparison tables, original data, and expert attribution.
Entity & Knowledge Graph Authority: Strengthen entity clarity and brand consistency across owned properties, structured data, knowledge graph sources, and business listings so AI systems accurately represent clients and products.
Testing, Innovation & Compliance: Design and run tests measuring what moves AI visibility; turn findings into repeatable agency playbooks, workflows, and new product offerings. Ensure all initiatives strictly follow search engine quality and spam policies.

Measurement, Analytics & Insights

Lead Organic Data Strategy: Analyze performance data to draw key insights that shape the strategic vision, providing QA, reporting, and strategic direction across search and cross-channel opportunities.
Build Next-Gen Measurement Frameworks: Integrate traditional SEO metrics with AI visibility tracking, reporting on brand mention and citation frequency, AI share of voice against competitors, sentiment/accuracy of AI answers, and AI referral traffic.
Platform & Dashboard Management: Select, implement, and manage LLM visibility tracking platforms (e.g., Screaming Frog, PromptWatch, Profound, Conductor, Ahrefs, Microsoft Clarity), connecting AI visibility signals to business outcomes via Search Console, GA4, and client CRM data.
Client Education & Expectation Setting: Help clients understand how zero-click and AI-answer behavior is changing user traffic patterns, resetting success metrics and expectations accordingly.