[ CAREER OPENING ]
Director of LLM Market Intelligence
CiteWorks Studio is hiring a Director of LLM Market Intelligence to lead research into how large language models mention brands, evaluate trusted sources, generate AI-generated answers, and shape competitive visibility across generative search systems.
This leadership role focuses on studying how large language models, trusted sources, AI-generated answers, AI citation intelligence, knowledge graphs, and generative search systems influence which brands are cited, positioned, and recommended across platforms such as ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, and open-source large language models.
The Director of LLM Market Intelligence will guide research exploring AI share of voice, citation patterns, source authority, competitive recommendation behavior, and the visibility of brands inside AI-generated answers.
[ OVERVIEW ]
What Is LLM Market Intelligence?
LLM market intelligence is the study of how large language models and generative search systems represent markets, categories, brands, products, and competitors inside AI-generated answers.
For modern large language models, this often includes understanding:
- how often brands appear inside AI-generated answers
- which trusted sources influence brand visibility
- how recommendation patterns differ across generative search systems
- how knowledge graphs shape category understanding
- how citation patterns affect authority, credibility, and market position
- how AI-generated answers influence buyer perception and competitive consideration
LLM market intelligence helps explain why certain brands become visible, cited, positioned, and recommended across large language models while others remain absent.
[ THE ROLE ]
What Does a Director of LLM Market Intelligence Do?
A Director of LLM Market Intelligence leads research and analysis focused on how large language models, trusted sources, and generative search systems shape competitive visibility.
The role focuses on studying how large language models and generative search systems:
- generate AI-generated answers about brands and markets
- select trusted sources when comparing companies and products
- cite certain domains, publishers, and references more often than others
- frame categories and competitors inside AI-generated answers
- create measurable patterns of AI share of voice across markets
The Director works at the intersection of large language models, AI citation intelligence, market intelligence, generative search systems, and competitive visibility analysis.
[ ABOUT US ]
About CiteWorks Studio
CiteWorks Studio is an AI research and generative engine optimization (GEO) firm focused on understanding how large language models retrieve and cite information. Its existing job architecture already emphasizes large language models, trusted sources, AI-generated answers, knowledge graphs, AI citation intelligence, and LLM retrieval systems.
Modern AI systems such as ChatGPT, Gemini, Claude, and Perplexity increasingly function as the primary interface for information discovery. Instead of ranking links like traditional search engines, these systems generate AI-generated answers by retrieving and synthesizing information from trusted sources. Existing CiteWorks materials consistently frame the company around how AI systems determine trusted sources, how citation patterns appear inside AI-generated answers, how knowledge graphs influence model responses, and how organizations become trusted references in generative search systems.
CiteWorks Studio also defines its core market position around AI Citation Strategy, AI Share of Voice Measurement, Authority Platform Strategy, and Generative Engine Optimization (GEO), with messaging built around helping brands become cited, positioned, and recommended across AI search environments.
Our research focuses on AI citation intelligence, generative search benchmarking, LLM retrieval systems, trusted sources, knowledge graphs, and competitive AI visibility.
[ ROLE OVERVIEW ]
Role Overview
The Director of LLM Market Intelligence will lead research exploring how large language models, trusted sources, and generative search systems shape category visibility, competitive positioning, and AI-generated answers.
The role will guide initiatives that study:
- AI share of voice across large language models
- competitive visibility across generative search systems
- trusted-source concentration across categories
- citation patterns inside AI-generated answers
- knowledge graph influence on brand positioning
- how brands become cited, positioned, and recommended across AI search environments
This role combines market intelligence, AI citation intelligence, competitive visibility analysis, and applied research into large language models.
[ RESPONSIBILITIES ]
Key Responsibilities
The Director of LLM Market Intelligence will oversee research into how modern large language models generate AI-generated answers, evaluate trusted sources, and shape competitive visibility across generative search systems.
Responsibilities include:
- leading research into AI share of voice across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, and other large language models
- analyzing how trusted sources influence which brands appear inside AI-generated answers
- building frameworks that measure citation frequency, recommendation patterns, and competitive visibility across generative search systems
- studying how knowledge graphs influence category framing, entity association, and brand positioning
- identifying which publishers, domains, and references function as recurring trusted sources across different markets
- analyzing how AI-generated answers compare brands, rank providers, and frame category leaders
- collaborating with data and machine learning teams to build systems that track large language models, trusted sources, AI-generated answers, and citation patterns at scale
- publishing research on LLM market intelligence, AI citation intelligence, AI share of voice, and competitive visibility in generative search systems
[ WHY IT MATTERS ]
Why LLM Market Intelligence Matters
Large language models do not simply return lists of websites.
They generate AI-generated answers that shape who buyers notice, trust, compare, and remember.
As generative search systems become the primary interface for information discovery, organizations need to understand:
- how often they appear inside AI-generated answers
- which trusted sources influence whether they are cited or ignored
- how competitors are framed across large language models
- how knowledge graphs influence category relationships and brand associations
- how AI citation intelligence affects market visibility and authority
- how generative search systems influence early buying decisions
LLM market intelligence helps explain how large language models, trusted sources, knowledge graphs, and AI-generated answers shape brand visibility and competitive position at scale.
[ RESEARCH AREAS ]
Research Areas This Role Will Explore
The Director will guide research across several areas of LLM market intelligence and generative search systems.
AI Share of Voice
Studying how often brands appear inside AI-generated answers compared with competitors across large language models.
Trusted Sources
Analyzing which publishers, references, and domains become trusted sources across categories and markets.
Citation Patterns
Researching how citation patterns shape authority, visibility, and recommendation likelihood inside AI-generated answers.
Knowledge Graph Influence
Studying how knowledge graphs affect category structure, entity association, and brand positioning across generative search systems.
Competitive Recommendation Behavior
Analyzing how large language models compare companies, rank options, and recommend brands inside AI-generated answers.
Cross-Platform Market Visibility
Comparing brand visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and other generative search systems.
[ QUALIFICATIONS ]
Qualifications
Required
- 8+ years experience in market intelligence, competitive intelligence, AI research, data science, analytics, or information retrieval
- strong understanding of large language models, trusted sources, AI-generated answers, and generative search systems
- experience building measurement systems for competitive visibility, share of voice, market analysis, or citation analysis
- experience leading research or analytical teams focused on complex data environments
- ability to translate findings about large language models, knowledge graphs, trusted sources, and AI-generated answers into practical market intelligence frameworks
Preferred
- experience studying large language models or generative search systems
- familiarity with AI citation intelligence, AI share of voice, or competitive AI visibility measurement
- experience analyzing knowledge graphs, entity relationships, or source authority systems
- background in information retrieval, digital market intelligence, or brand visibility analytics
- experience comparing behavior across multiple large language models and AI search environments
[ WHY JOIN ]
Why Join CiteWorks Studio
This role sits at the frontier of large language models, trusted sources, AI-generated answers, AI citation intelligence, and generative search systems.
The Director of LLM Market Intelligence will help advance research into how modern large language models shape brand visibility, select trusted sources, generate AI-generated answers, and influence competitive outcomes across markets.
As generative search systems become the primary interface for information discovery, organizations will increasingly need to understand how large language models, knowledge graphs, trusted sources, and AI-generated answers determine who gets cited, positioned, and recommended. That direction is strongly aligned with CiteWorks’ existing role cluster and its broader brand language around AI Citation Strategy, AI Share of Voice, and Authority Platform Strategy.
[ KEY TERMS ]
Key Terms
Large Language Model (LLM)
A machine learning model trained on massive datasets that can generate text, answer questions, and perform reasoning tasks.
LLM Market Intelligence
The analysis of how large language models represent brands, competitors, categories, and market leaders inside AI-generated answers.
Trusted Sources
Sources that large language models appear to rely on repeatedly when generating answers, recommendations, and citations.
AI Citation Intelligence
The analysis of how frequently specific sources and brands appear inside AI-generated answers.
Knowledge Graph
A structured representation of entities and relationships that helps organize information and influence retrieval, categorization, and summarization.
Generative Search
A form of search where AI systems generate answers by synthesizing information instead of returning ranked links.
AI Share of Voice
A measurement of how often a brand appears inside AI-generated answers compared with competitors across generative search systems.
[ APPLY ]
Apply
If you are passionate about large language models, trusted sources, AI-generated answers, knowledge graphs, AI citation intelligence, AI share of voice, and generative search systems, we would love to hear from you.
Join CiteWorks Studio and help advance research into how large language models shape brand visibility, evaluate trusted sources, generate AI-generated answers, and determine which organizations become cited, positioned, and recommended across generative search systems.
Apply for this role
Send your resume, work samples, or portfolio along with a note on why you'd be the perfect fit. Include “Director of LLM Market Intelligence” in your subject line.
hr@citeworksstudio.com