Discoverability Lead (GEO/AEO/SEO)

Skills covered in University

About the role

This role serves as the operational hub bridging AI discoverability intelligence (AEO/GEO/SEO) with Intel's content creators, channel owners, and business unit go-to-market teams, with a primary mission to improve velocity from insights into omni-channel content activations. The goal is for Intel to be the brand and solution that is actively recommended by conversational AI engines and LLMs.

What you'll do

• 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, such as emerging conversational queries, sudden drops in model citation, competitive displacement, or narrative misalignment, and triage them based on business priority and narrative pillars.
• 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 the 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.
• 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.
• 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.

What we're looking for

• 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: direct hands-on experience with AI citation/visibility platforms (e.g., Profound, Peec AI, Scrunch, or enterprise SEO platforms like Conductor, BrightEdge, Semrush).
• Preferred: 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.
• Preferred: familiarity with off-property influence channels that feed LLM retrieval (e.g., Reddit, YouTube, tech forums, earned media).
• Preferred: experience navigating matrixed enterprise marketing environments.

Posted

2 hours ago · Oct 1, 2026