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VP, Content Strategy LLMO
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-05-18
Listing for:
Dentsu Aegis Network Ltd.
Full Time
position Listed on 2026-05-18
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Job Description:
VP, LLMO Content Strategy Overview The VP, LLMO Content Strategy is a pivotal role within dentsu’s LLMO Specialty Practice that is 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, 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.
Key Responsibilities Content Strategy Development 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.
Client Engagement & Thought Leadership 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 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.
Key Skills The full-spectrum of the content strategist 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:
Moving beyond keywords to "entities." You need 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. Discovery is no longer linear. A user might start on You Tube, ask a follow-up on ChatGPT, and finalize a decision via a Google Search.
Omnichannel Architecture:
Designing content that can be natively adapted for different platforms—from "Short-form Video" (visual discovery) to…
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