Head of AI Visibility Product

Head of AI Visibility Product

Remote - United States preferred

CiteWorks Studio is hiring a Head of AI Visibility Product to lead the development of productized SaaS workflows for AI search visibility, generative engine optimization, citation intelligence, recommendation tracking, customer review intelligence, and executive brand visibility reporting.

This leadership role focuses on turning CiteWorks Studio's agency methodology into scalable software systems that help enterprise brands understand where they appear, where competitors outperform them, which sources influence AI-generated answers, and what actions can improve visibility across Google, ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, and other generative search systems.

The Head of AI Visibility Product will own the roadmap for AI visibility dashboards, recommendation tracking, citation tracking, prompt-cluster monitoring, competitor visibility reports, customer review and survey intelligence, and executive reporting systems.

OVERVIEW

AI visibility product leadership is the practice of building software systems that measure, explain, and improve how brands appear across large language models, generative search systems, AI-generated answers, traditional search engines, citation environments, review ecosystems, and competitive recommendation surfaces.

For modern enterprise brands, AI visibility includes understanding:

• how often a brand appears inside AI-generated answers
• where a brand is cited, recommended, compared, or excluded
• which trusted sources influence AI-generated answers
• how competitors are positioned across generative search systems
• how customer reviews, surveys, and third-party mentions affect visibility
• how prompt clusters reveal buyer intent
• how semantic, entity, and citation gaps affect visibility

These signals are turned into dashboards, workflows, reports, benchmarks, and recommendations to improve discoverability, authority, and recommendation placement.

THE ROLE

A Head of AI Visibility Product leads product strategy, roadmap, and execution for software that helps organizations understand and improve how they are discovered, cited, positioned, and recommended across AI search environments.

The role focuses on building systems that track:

AI recommendation visibility, citation frequency, prompt-cluster performance, competitor presence across large language models, source attribution patterns, customer review and survey signals, semantic relevance gaps, executive-level visibility trends, and corrective-action workflows for GEO, SEO, content, citations, and authority-building.

This role works at the intersection of SaaS product management, generative engine optimization, enterprise SEO, AI search intelligence, analytics, customer research, citation architecture, and executive reporting.

ABOUT CITEWORKS STUDIO

CiteWorks Studio is a full-service search visibility agency for enterprise brands and agency partners. We help brands improve where they rank, where they are cited, and where they are recommended by combining SEO auditing, AI search analysis, technical optimization, citation architecture, market intelligence, and in-house execution across content, social, video, and authority environments.

Buyers no longer discover brands through one channel. They move between Google, AI-generated answers, review pages, comparison articles, community discussions, videos, social platforms, and brand content before deciding who to trust.

We study how large language models retrieve information, how trusted sources shape AI-generated answers, how citation patterns influence authority, how knowledge graphs affect entity understanding, and how brands become easier to find and validate.

We are moving toward a SaaS model by turning our methodology, audits, dashboards, and corrective-action systems into scalable products.

ROLE OVERVIEW

The Head of AI Visibility Product will lead product strategy for AI visibility platforms, dashboards, reporting systems, and SaaS workflows, including:

AI visibility dashboards, recommendation tracking, citation tracking, prompt-cluster monitoring, competitor visibility reports, customer review and survey intelligence, semantic gap analysis, executive reporting, and corrective-action recommendations.

RESPONSIBILITIES

• Lead product roadmap for AI visibility dashboards and SaaS workflows
• Translate methodology into product features, modules, and workflows
• Define tracking for AI recommendations, citations, prompt clusters, and competitors
• Build dashboards showing visibility, sources, prompts, and actions
• Develop customer review and survey intelligence features
• Work with engineering, data, design, and strategy teams
• Design workflows from measurement to corrective action
• Create executive reporting systems for visibility trends
• Define product metrics (adoption, retention, impact)
• Support sales with product narratives and demos
• Prioritize features based on market and client needs

WHY IT MATTERS

AI systems generate answers, recommendations, comparisons, and citations that shape brand visibility. Organizations need to understand:

• if they appear in AI-generated answers
• if they are recommended for high-intent queries
• how competitors are cited
• how reviews affect authority
• how sources describe the brand
• if content aligns with AI retrieval systems

AI visibility systems provide structured ways to measure, diagnose gaps, monitor prompts, track competitors, and prioritize actions.

PRODUCT AREAS

AI Visibility Dashboards

Recommendation Tracking

Citation Tracking

Prompt-Cluster Monitoring

Competitor Visibility Reports

Customer Review Intelligence

Customer Survey Intelligence

Executive Reporting

Corrective-Action Workflows

QUALIFICATIONS

Required

• 8+ years in SaaS product management or related fields
• Strong product strategy, roadmap, and execution experience
• Experience building dashboards, analytics, or enterprise software
• Familiarity with SEO, AI search visibility, or analytics
• Ability to translate complex concepts into product experiences
• Experience working cross-functionally
• Understanding of enterprise customer needs

Preferred

• Experience in SEO, AI, or marketing intelligence products
• Familiarity with LLMs, generative search, and retrieval systems
• Experience with review or survey platforms
• Knowledge of semantic search, embeddings, or knowledge graphs
• Experience building executive dashboards

WHO WILL THRIVE

This role suits a product leader who can think like a strategist, operator, analyst, and category builder.

WHY JOIN

This role sits at the intersection of SaaS product strategy, AI search visibility, and enterprise discovery. It is an opportunity to define AI visibility intelligence as a product category.

KEY TERMS

AI Visibility: Measure of how often and accurately a brand appears in AI-generated answers

Generative Engine Optimization: Improving how brands are retrieved and recommended by AI

AI Recommendation Tracking: Measuring when and how brands are recommended

Citation Tracking: Tracking sources influencing AI-generated answers

Prompt Cluster: Group of related AI search questions

Customer Review Intelligence: Analysis of reviews for trust signals and patterns

Customer Survey Intelligence: Using surveys for positioning insights

Semantic Vector Optimization: Aligning content with AI retrieval systems

Cosine Gap Engineering: Reducing gap between intended and actual AI interpretation

AI Share of Voice: Frequency of brand appearance vs competitors

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CiteWorks Studio is hiring a Head of AI Visibility Product to lead SaaS product strategy for AI visibility dashboards, recommendation tracking, citation tracking, prompt-cluster monitoring, customer review intelligence, and executive reporting.

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Lead the product roadmap for AI visibility dashboards, recommendation tracking, citation tracking, prompt-cluster monitoring, competitor visibility reports, customer review intelligence, and executive reporting systems.