Discoverability Lead (GEO/AEO/SEO) at Intel in Santa Clara, CA

Job description

Job Details: Job Description: Executive Summary and Mission The discovery landscape is undergoing a foundational shift. Today, buyers and decision-makers do not merely search for links, they query conversational AI engines and Large Language Models (LLMs) to make critical vendor and technology recommendations. Our mandate is clear: We do not just want to be visible; we want to be the brand and solution that is actively recommended. The Discoverability Lead serves as the operational hub bridging AI discoverability intelligence (AEO/GEO/SEO) with our content creators, channel owners, and business unit go-to-market teams. Rather than getting bogged down in tool configuration or static dashboard maintenance, this individual's primary mission is to improve velocity from insights into omni-channel content activations. Operating at the intersection of our Content and Experience Engine, broader Intelligence Systems, and Reputation/Narrative Frameworks, this role identifies narrative hot spots, surfaces high-impact optimization recommendations, and leverages automated/agentic routing so channel owners can execute swiftly across owned and earned touchpoints. What Success Looks Like (Primary Objectives) Insights to Action (Velocity and Execution): Transition discoverability data from retrospective reporting into a weekly operational rhythm where content, social, PR, web, and Business Unit (BU) teams receive crisp, prioritized, turnkey action briefs. Recommendation and Citation Authority (Not Just Visibility): Increase our share of model recommendations, citation frequency, and favorable sentime nt across target answer engines (ChatGPT, Perplexity, Claude, Google AI Overviews, Gemini, Copilot) tied directly to strategic message pillars. Agentic Workflow Governance and Grounding: Partner with internal FDEs and Intelligence Analysts to operationalize how intelligence flows across systems, ensuring agent-generated insights are accurate, high-context, hallucination-free, and directly executable by channel owners. Holistic Discoverability Ecosystem: Connect Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) with foundational technical SEO, third-party authority hubs (e.g., Reddit, YouTube, GitHub, industry publications), and broader enterprise data streams. Key Responsibilities 1. Intelligence, Monitoring and Hot-Spot Detection Monitor prompt sets, citation trends, and competitive positioning across generative engines (ChatGPT, Claude, Perplexity, Copilot, Gemini) using enterprise GEO tracking platforms (e.g., Profound, Peec AI, or comparable engines). Synthesize GEO intelligence with wider marketing intelligence streams (search trends, web analytics, social listening, competitive intelligence) so strategic decisions are never made in a single-data silo. Detect immediate hot spots-emerging conversational queries, sudden drops in model citation, competitive displacement, or narrative misalignment-and triage them based on business priority and narrative pillars. 2. Operational Orchestration and Translation to Channel Owners Serve as the central hub connecting insight to execution across a distributed network of content and channel leads (Social, Comms/PR, Product Marketing, Web/Digital Experience, Business Units, and Sales). Partner closely with our Head of Editorial and creative teams to weave discovery insights directly into storytelling, content roadmaps, and campaign development. Act as an expert translator, turning complex retrieval mechanics and LLM citation gaps into clear, non-technical, frictionless action briefs (e.g., passage rewrites, entity clarifications, schema updates, third-party citations). Maintain a recurring (weekly/bi-weekly) cadence of prioritized recommendations, tracking follow-through and measuring post-execution impact. 3. Agentic Workflow Management and Output Governance Serve as the functional power user and operational owner of how GEO intelligence is ingested, organized, and dispatched throug