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About This Role
- 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 through workflow and automation layers.
- Partner closely with internal marketing automation and forward-deployed engineers to build, refine, and maintain the routing layers that deliver actionable alerts to channel queues and collaboration spaces.
- Enforce quality control and output governance: partner with subject matter experts (SMEs) to audit AI-driven and agent-generated recommendation outputs to ensure they are grounded, strategically aligned, and hallucination-free before hitting production teams. 4.
- Technical Foundations and Content System Alignment Align discoverability recommendations with the enterprise content and digital experience architecture (structured data/JSON-LD schema, passage-level architecture, crawlability/rendering directives, entity clarity).
- Identify off-property authority sources that LLMs rely heavily upon for category recommendations (industry media, high-authority forums, community channels) and collaborate with Comms/PR and social teams to strengthen brand presence on those surfaces.
- Partner with narrative and strategy leads to ensure all prompt tracking and content initiatives align with corporate strategy, narrative pillars, and the broader VSEM framework-ensuring we lead where it matters most.
- Strategic Stakeholders and Key Partnerships Head of Editorial: Day-to-day strategic thought partner ensuring discoverability insights fuel our overarching narrative, content calendar, and story frameworks.
- Measurement and Analytics Team: Partners to standardize topical tracking, measure citation-to-pipeline influence, and refine executive dashboards.
- Marketing Engineers / Forward Deployed Engineers: Collaborates on the technical agentic pipeline, routing logic, and tool automation integrations.
- Channel and Content Owners (Spokes): Social, PR/Comms, Web, Editorial, Product Marketing, and Business Unit (BU) Go-to-Market leads who receive actionable briefs and execute in-market changes.
Requirements
- Bachelors Degree in any relevant field and 3-5 years of content development and operations, SEO, digital marketing analytics, or technical content strategy.
- Proven exposure to, or foundational understanding of Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), or LLM citation-based search dynamics.
- Demonstrated track record of translating raw data and technical audits into actionable, bite-sized briefs that cross-functional teams can execute without excessive hand-holding.
- Foundational understanding of technical discovery fundamentals: structured data/schema, crawling/indexing concepts, passage-level optimization, and machine readability.
- Junior-to-mid-level systems thinking: structured mindset with experience building or maintaining lightweight routing frameworks, intake workflows, or tagging taxonomies.
- Preferred Qualifications Direct hands-on experience with AI citation/visibility platforms (e.g., Profound, Peec AI, Scrunch, or enterprise SEO platforms like Conductor, BrightEdge, Semrush).
- Familiarity with workflow orchestration, automation, or low-code logic (e.g., n8n, Zapier, Make, Power Automate, or Airtable automations) to understand how data triggers move through enterprise systems.
- Familiarity with off-property influence channels that feed LLM retrieval (e.g., Reddit, YouTube, tech forums, earned media).
- Experience navigating matrixed enterprise marketing environments.
- Intellectual Curiosity and Self-Starter: A natural desire to explore how AI discovery models work, experiment with emerging platforms, stay ahead of the evolving AEO/GEO frontier, and protype to demonstrate concepts.
- Relationship Builder: Exceptional emotional intelligence and interpersonal skills; skilled at fostering strong cross-functional partnerships across editorial, PR, web, product marketing, and engineering.
- Celebrates Small, Quick Wins: Energized by iterative progress; actively highlights, celebrates, and communicates tactical wins along the journey to build team momentum and trust.
- Strong Communicator: Clear, non-technical, and persuasive written and verbal communicator across messaging channels, briefs, and asynchronous updates as well as cross-team collaboration efforts.
Benefits
- We offer a total compensation package that ranks among the best in the industry.
- It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
- Find out more about the benefits of working at Intel .
- Annual Salary Range for jobs which could be performed in the US: $121,130.00-205,910.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
- Candidates should never be
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607 positions
Job ID
/job/US-California-Santa-Clara/Discoverability-Lead--GEO-AEO-SEO-_JR0287634
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