VP, Content Strategy LLMO

Overview

TheVP LLMO Content Strategyis a pivotal role withindentsusLLMO Specialty Practice thatis responsible fordefining designing anddeployingmoderncutting-edgecontent strategies aimed at maximizing brand presence and performance within Large Language Model (LLM) and generative engine environments.

This role combines deepexpertisein content strategyonsiteSEOcontentoffsite content influencemix (social community editorial and vertical sites)to aidAI-driven searchsignals that enable a brand to be mentioned and positively influence conversations.TheVPwill lead a team focused on the intersection of contentspecialized content distributiontechnology 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 clientobjectivesand 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 withsocial influencer PRoffsitecontentpartners 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 thecontentimplementationfor SEO LLMO strategies includingtext formats (long orshort-form)imagesand rich media.

• Ensure content is effectivelyinterpreted andsurfaced by LLMs and generative engines throughpublishingbest 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 atdentsu(or client side) and with partners who can help publish LLM accessible content that improves signals and trust for citations that influence 3rdparty 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 insightsonLLMO content strategy.

• Evangelizedentsusmodern 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 scalequalityand lower costs ofofdeliverto client enabling publishing (onsite) or distribution (offsite) on domains that influence AI trust.

• Contribute to the agencys thought leadership through publications presentations and participation in industry events.

Key Skills

Thefull-spectrumof thecontent strategist needs a mix of traditional editorial rigor and emergingcontent standards.

• Information Chunking: The ability to structure content into modular extractable units (using clear H2/H3 tagsbulletedsummaries 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 Redditcommunities UGCnational 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 onYouTube ask a follow-up onChatGPT andfinalizea decision via a Google Search.

• Omnichannel Architecture: Designing content that can be natively adapted for different platformsfrom 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. This includesoptimizingimage metadata for visual search and structuring content for conversational inclusion (how an AI assistantspeaksyour brands answer).

• Community & Secondary Discovery:Work with counterparts whoaremanagingpresence on platforms(i.e.RedditYoutube AmazonNerdWallet Yahoo etc..)whichhave become primary ground truth sources for both consumers and AI trainingdata.

Youdontneed to be a developeror technical SEO specialist but you must understand the plumbing of the modern web.

• Schema & Semantic Markup:Proficiencyin 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 brandtone. This includes building customagentsor internal tools that houseabrands voice and style guidesto build content workflows for specific purposes.

• Data Attribution Literacy: Understanding that clicks are no longer the only metric. You need to be able to analyze Brand Mentions and Share of Model Response citation sourcessentimenttosupport correlation and or attribution of business outcomes.

The Content Strategy Skill Intersectionand applying the Human Edge: E-E-A-T 2.0

• First-Person Experience: AI cannot go to a conference test a physical product or have alivedemotional experience. Strategists must prioritize content that featuresbrand values and uniquevalue usingstatements backed by evidence.

• Editorial Governance: Setting the AI Usage Policy for the brand to ensure that while AI assists in production the final outputremainsfactuallyaccurate ethically sound and legally compliant (copyright/IP).

• Trusted and ValuedContent: Creating Thought Leadership that takes a stand. AI is trained to be neutral; brands win by being distinctive andpushing brands we work with to communicatea clear point of view.

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