VP, Content Strategy LLMO

dentsu•Detroit, NY

1d•$143,800 - $220,000•Hybrid

About The Position

The VP, LLMO Content Strategy is a pivotal role within dentsu’s LLMO Specialty Practice responsible for defining, designing, and deploying modern, cutting-edge content strategies aimed at maximizing brand presence and performance within Large Language Model (LLM) and generative engine environments. This role combines deep expertise in content strategy, onsite SEO content, and offsite content influence mix (social, community, editorial, and vertical sites) to aid AI-driven search signals that enable a brand to be mentioned and positively influence conversations. The VP will lead a team focused on the intersection of content, specialized content distribution, technology, and analytics, driving measurable impact for clients across leading AI search platforms.

Requirements

Needs a mix of traditional editorial rigor and emerging content standards.
Information "Chunking": The ability to structure content into modular, extractable units (using clear H2/H3 tags, bulleted summaries, and FAQ formats) that AI can easily parse and quote.
Entity-Based Strategy: Ability to help AI models understand the relationship between your brand, your products, and specific industry concepts within their knowledge graphs.
Citation Management: Developing strategies to earn mentions in high-authority "seed sites" (like Reddit, communities, UGC, national outlets, local outlets and niche vertical sites that have credibility) because AI models weight third-party validations when citing sources.
Omnichannel Architecture: Designing content that can be natively adapted for different platforms—from "Short-form Video" (visual discovery) to "Deep-dive Whitepapers" (E-E-A-T signals).
Multimodal Thinking: Ensuring brand assets are discoverable via text, image, and voice, including optimizing image metadata for visual search and structuring content for "conversational inclusion" (how an AI assistant speaks your brand's answer).
Community & Secondary Discovery: Work with counterparts who are managing presence on platforms (i.e. Reddit, Youtube, Amazon, NerdWallet, Yahoo, etc..) which have become primary "ground truth" sources for both consumers and AI training data.
Must understand the "plumbing" of the modern web (without necessarily being a developer or technical SEO specialist).
Schema & Semantic Markup: Proficiency in Schema.org applications to tell search engines and AI exactly what a piece of content is (e.g., a "Product," "Review," or "How-To").
Prompt Engineering as Workflow: Using AI as a "draft partner" to scale content variations without losing brand tone, including building custom agents or internal tools that house a brand's voice and style guides to build content workflows for specific purposes.
Data Attribution Literacy: Ability to analyze "Brand Mentions" and "Share of Model Response", “citation sources”, “sentiment” to support correlation and or attribution of business outcomes.
Applying the "Human" Edge: E-E-A-T 2.0.
First-Person Experience: Prioritize content that features brand values and unique value, using statements backed by evidence.
Editorial Governance: Setting the "AI Usage Policy" for the brand to ensure that while AI assists in production, the final output remains factually accurate, ethically sound, and legally compliant (copyright/IP).
Trusted and Valued Content: Creating "Thought Leadership" that takes a stand, communicating a clear point of view.

Responsibilities

Define and implement innovative content strategies tailored for LLM and generative engine optimization, ensuring alignment with client objectives and aligning on what success of content will target in terms of success metrics.
Lead research into emerging trends, user intent, and content consumption patterns within AI-driven search environments to inform strategic direction.
Collaborate with social, influencer, PR, offsite content partners, SEO, and technical teams to develop content frameworks that enhance discoverability, relevance, and influence in LLM outputs.
Support roadmap and implementation roadmap for SEO/GEO content goals.
Oversee the content implementation for SEO + LLMO strategies, including text formats (long or short-form), images and rich media.
Ensure content is effectively interpreted, and surfaced by LLMs and generative engines through publishing best practices.
Establish KPIs and measurement frameworks to track the effectiveness of LLMO content strategies across platforms.
Partner with SEO specialists to design and deploy advanced content tracking, measurement, and optimization frameworks.
Analyze content performance data to identify opportunities for optimization and demonstrate value to clients.
Partner with offsite craft specialist at dentsu (or client side) and with partners who can help publish LLM accessible content that improves signals and trust for citations that influence 3rd party domain influence on answers in AI search.
Serve as a trusted advisor to clients & internal stakeholders, providing strategic recommendations and actionable insights on LLMO content strategy.
Evangelize dentsu’s modern best practices for content developing, presenting findings, recommendations, and results to clients and internal stakeholders in a clear, compelling manner.
Support thought leadership and support of tools (internal) and partners that help accelerate content development, scale, quality and lower costs of deliver to client, enabling publishing (onsite) or distribution (offsite) on domains that influence AI trust.
Contribute to the agency’s thought leadership through publications, presentations, and participation in industry events.