Director of AI Reputation & Narrative
Intelligence
CiteWorks Studio is hiring a Director of AI Reputation & Narrative Intelligence to lead research into how large language models describe brands, evaluate trusted sources, generate AI-generated answers, and shape narrative framing across generative search systems.
This leadership role focuses on studying how large language models, trusted sources, AI-generated answers, knowledge graphs, AI citation intelligence, and generative search systems influence brand perception across platforms such as ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, and open-source large language models.
The Director of AI Reputation & Narrative Intelligence will guide research exploring brand narrative formation, reputation signals, trusted-source influence, competitive framing, and the way organizations are described inside AI-generated answers.
CiteWorks Studio is hiring a Director of AI Reputation & Narrative Intelligence to lead research into how large language models describe brands, evaluate trusted sources, generate AI-generated answers, and shape narrative framing across generative search systems.
This leadership role focuses on studying how large language models, trusted sources, AI-generated answers, knowledge graphs, AI citation intelligence, and generative search systems influence brand perception across platforms such as ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, and open-source large language models.
The Director of AI Reputation & Narrative Intelligence will guide research exploring brand narrative formation, reputation signals, trusted-source influence, competitive framing, and the way organizations are described inside AI-generated answers.
[ What Is AI Reputation & Narrative Intelligence? ]
[ What Is AI Reputation & Narrative Intelligence? ]
AI reputation and narrative intelligence is the study of how large language models and generative search systems describe brands, frame categories, interpret trust, and shape perception inside AI-generated answers.
For modern large language models, this often includes understanding:
• how brands are described inside AI-generated answers• which trusted sources influence reputation and category framing
• how large language models summarize strengths, weaknesses, and risks
• how knowledge graphs shape entity associations and brand context
• how citation patterns reinforce positive or negative narratives
• how generative search systems influence early buyer trust and consideration
AI reputation and narrative intelligence helps explain why certain brands are cited, positioned, and recommended positively across large language models while others are framed inaccurately, weakly, or negatively.
AI reputation and narrative intelligence is the study of how large language models and generative search systems describe brands, frame categories, interpret trust, and shape perception inside AI-generated answers.
For modern large language models, this often includes understanding:
• how brands are described inside AI-generated answers
• which trusted sources influence reputation and category framing
• how large language models summarize strengths, weaknesses, and risks
• how knowledge graphs shape entity associations and brand context
• how citation patterns reinforce positive or negative narratives
• how generative search systems influence early buyer trust and consideration
AI reputation and narrative intelligence helps explain why certain brands are cited, positioned, and recommended positively across large language models while others are framed inaccurately, weakly, or negatively.
[ What Does a Director of AI Reputation & Narrative Intelligence Do? ]
[ What Does a Director of AI Reputation & Narrative Intelligence Do? ]
A Director of AI Reputation & Narrative Intelligence leads research and analysis focused on how large language models, trusted sources, and generative search systems shape the narratives buyers see first.
The role focuses on studying how large language models and generative search systems:
• generate AI-generated answers about companies, products, and categories
• select trusted sources that influence brand framing
• summarize sentiment, authority, and credibility signals
• reinforce or suppress certain narratives across platforms
• create measurable patterns in brand reputation and competitive positioning
The Director works at the intersection of large language models, AI citation intelligence, reputation analysis, narrative framing, and generative search systems.
A Director of AI Reputation & Narrative Intelligence leads research and analysis focused on how large language models, trusted sources, and generative search systems shape the narratives buyers see first.
The role focuses on studying how large language models and generative search systems:
• generate AI-generated answers about companies, products, and categories
• select trusted sources that influence brand framing
• summarize sentiment, authority, and credibility signals
• reinforce or suppress certain narratives across platforms
• create measurable patterns in brand reputation and competitive positioning
The Director works at the intersection of large language models, AI citation intelligence, reputation analysis, narrative framing, and generative search systems.
[ About CiteWorks Studio ]
[ 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 current messaging and role architecture consistently emphasize large language models, trusted sources, AI-generated answers, AI Citation Strategy, AI Share of Voice, knowledge graphs, and generative search systems.
Modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot increasingly function as the primary interface for information discovery. Instead of simply returning links, these systems generate AI-generated answers using trusted public knowledge sources across the web. CiteWorks Studio’s approved positioning is that it helps enterprise brands become cited, positioned, and recommended in those environments.
CiteWorks Studio studies this transformation and helps organizations understand:
• how AI systems determine trusted sources
• how citation patterns emerge inside AI-generated answers
• how knowledge graphs influence model responses
• how organizations become trusted references in generative search systems
• how narrative framing influences who buyers trust
Our research focuses on AI citation intelligence, AI Citation Strategy, AI Share of Voice, trusted sources, knowledge graphs, and competitive visibility across generative search systems.
CiteWorks Studio is an AI research and generative engine optimization (GEO) firm focused on understanding how large language models retrieve and cite information. Its current messaging and role architecture consistently emphasize large language models, trusted sources, AI-generated answers, AI Citation Strategy, AI Share of Voice, knowledge graphs, and generative search systems.
Modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot increasingly function as the primary interface for information discovery. Instead of simply returning links, these systems generate AI-generated answers using trusted public knowledge sources across the web. CiteWorks Studio’s approved positioning is that it helps enterprise brands become cited, positioned, and recommended in those environments.
CiteWorks Studio studies this transformation and helps organizations understand:
• how AI systems determine trusted sources
• how citation patterns emerge inside AI-generated answers
• how knowledge graphs influence model responses
• how organizations become trusted references in generative search systems
• how narrative framing influences who buyers trust
Our research focuses on AI citation intelligence, AI Citation Strategy, AI Share of Voice, trusted sources, knowledge graphs, and competitive visibility across generative search systems.
[ Role Overview ]
[ Role Overview ]
The Director of AI Reputation & Narrative Intelligence will lead research exploring how large language models, trusted sources, and generative search systems shape brand perception, narrative framing, and competitive trust.
The role will guide initiatives that study:
• narrative framing across large language models
• how citation patterns emerge inside AI-generated answers
• trusted-source influence on brand perception
• knowledge graph effects on entity context and brand association
• AI-generated comparison language across categories
• how organizations become cited, positioned, and recommended across generative search systems
This role combines reputation intelligence, narrative analysis, AI citation intelligence, and applied research into large language models.
The Director of AI Reputation & Narrative Intelligence will lead research exploring how large language models, trusted sources, and generative search systems shape brand perception, narrative framing, and competitive trust.
The role will guide initiatives that study:
• narrative framing across large language models
• how citation patterns emerge inside AI-generated answers
• trusted-source influence on brand perception
• knowledge graph effects on entity context and brand association
• AI-generated comparison language across categories
• how organizations become cited, positioned, and recommended across generative search systems
This role combines reputation intelligence, narrative analysis, AI citation intelligence, and applied research into large language models.
[ Key Responsibilities ]
[ Key Responsibilities ]
The Director of AI Reputation & Narrative Intelligence will oversee research into how modern large language models generate AI-generated answers, evaluate trusted sources, and shape the narratives buyers encounter first.
Responsibilities include:
• leading research into brand narrative formation across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, and other large language models
• analyzing how trusted sources influence reputation, trust, and category framing inside AI-generated answers
• building frameworks that measure narrative consistency, sentiment direction, citation context, and competitive framing across generative search systems
• studying how knowledge graphs influence entity associations, reputation signals, and brand interpretation
• identifying how positive, negative, or incomplete narratives become reinforced through repeated AI-generated answers
• analyzing how large language models describe strengths, weaknesses, legitimacy, trustworthiness, and differentiation across brands in the same category
• collaborating with data and machine learning teams to build systems that track large language models, trusted sources, AI-generated answers, citation patterns, and narrative shifts at scale
• publishing research on AI reputation, narrative intelligence, AI citation intelligence, trusted sources, and generative search systems
The Director of AI Reputation & Narrative Intelligence will oversee research into how modern large language models generate AI-generated answers, evaluate trusted sources, and shape the narratives buyers encounter first.
Responsibilities include:
• leading research into brand narrative formation across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, and other large language models
• analyzing how trusted sources influence reputation, trust, and category framing inside AI-generated answers
• building frameworks that measure narrative consistency, sentiment direction, citation context, and competitive framing across generative search systems
• studying how knowledge graphs influence entity associations, reputation signals, and brand interpretation
• identifying how positive, negative, or incomplete narratives become reinforced through repeated AI-generated answers
• analyzing how large language models describe strengths, weaknesses, legitimacy, trustworthiness, and differentiation across brands in the same category
• collaborating with data and machine learning teams to build systems that track large language models, trusted sources, AI-generated answers, citation patterns, and narrative shifts at scale
• publishing research on AI reputation, narrative intelligence, AI citation intelligence, trusted sources, and generative search systems
[ Why AI Reputation & Narrative Intelligence Matters ]
[ Why AI Reputation & Narrative Intelligence Matters ]
Large language models do not just retrieve facts.
They generate AI-generated answers that shape perception, trust, comparison behavior, and early buying decisions.
As generative search systems become the primary interface for information discovery, organizations need to understand:
• how they are described inside AI-generated answers
• which trusted sources influence those descriptions
• how knowledge graphs affect context and association
• how citation patterns reinforce narrative credibility
• how competitors are framed relative to them
• how large language models influence who buyers trust before a website visit ever happens
AI reputation and narrative intelligence helps explain how large language models, trusted sources, knowledge graphs, and AI-generated answers shape market trust and brand perception at scale.
Large language models do not just retrieve facts.
They generate AI-generated answers that shape perception, trust, comparison behavior, and early buying decisions.
As generative search systems become the primary interface for information discovery, organizations need to understand:
• how they are described inside AI-generated answers
• which trusted sources influence those descriptions
• how knowledge graphs affect context and association
• how citation patterns reinforce narrative credibility
• how competitors are framed relative to them
• how large language models influence who buyers trust before a website visit ever happens
AI reputation and narrative intelligence helps explain how large language models, trusted sources, knowledge graphs, and AI-generated answers shape market trust and brand perception at scale.
[ Research Areas This Role Will Explore ]
[ Research Areas This Role Will Explore ]
The Director will guide research across several areas of AI reputation and narrative intelligence.
Brand Narrative Analysis
Studying how large language models describe brands, products, and companies inside AI-generated answers.
Trusted Sources
Analyzing which publishers, domains, community discussions, and public references become trusted sources influencing brand perception.
Narrative Framing
Researching how AI-generated answers frame strengths, risks, comparisons, legitimacy, and authority across brands and categories.
Knowledge Graph Influence
Studying how knowledge graphs affect brand associations, entity interpretation, and the context surrounding organizations inside generative search systems.
Citation Context
Analyzing how citation patterns support, weaken, or redirect the narrative surrounding a brand.
Cross-Platform Reputation Visibility
Comparing brand framing across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, and other generative search systems.
The Director will guide research across several areas of AI reputation and narrative intelligence.
Brand Narrative Analysis
Studying how large language models describe brands, products, and companies inside AI-generated answers.
Trusted Sources
Analyzing which publishers, domains, community discussions, and public references become trusted sources influencing brand perception.
Narrative Framing
Researching how AI-generated answers frame strengths, risks, comparisons, legitimacy, and authority across brands and categories.
Knowledge Graph Influence
Studying how knowledge graphs affect brand associations, entity interpretation, and the context surrounding organizations inside generative search systems.
Citation Context
Analyzing how citation patterns support, weaken, or redirect the narrative surrounding a brand.
Cross-Platform Reputation Visibility
Comparing brand framing across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Microsoft Copilot, and other generative search systems.
[ Qualifications ]
[ Qualifications ]
Required
• 8+ years experience in market intelligence, brand strategy, reputation analysis, AI research, data science, communications analytics, or information retrieval
• strong understanding of large language models, trusted sources, AI-generated answers, and generative search systems
• experience building frameworks for reputation measurement, narrative analysis, competitive visibility, or citation analysis
• experience leading research or analytical teams focused on complex information environments
• ability to translate findings about large language models, knowledge graphs, trusted sources, and AI-generated answers into practical reputation and narrative intelligence frameworks
Preferred
• experience studying large language models or generative search systems
• familiarity with AI citation intelligence, AI Share of Voice, brand narrative analysis, or competitive AI visibility measurement
• experience analyzing knowledge graphs, entity relationships, or source authority systems
• background in information retrieval, market intelligence, brand analytics, or strategic communications
• experience comparing behavior across multiple large language models and AI search environments
Required
• 8+ years experience in market intelligence, brand strategy, reputation analysis, AI research, data science, communications analytics, or information retrieval
• strong understanding of large language models, trusted sources, AI-generated answers, and generative search systems
• experience building frameworks for reputation measurement, narrative analysis, competitive visibility, or citation analysis
• experience leading research or analytical teams focused on complex information environments
• ability to translate findings about large language models, knowledge graphs, trusted sources, and AI-generated answers into practical reputation and narrative intelligence frameworks
Preferred
• experience studying large language models or generative search systems
• familiarity with AI citation intelligence, AI Share of Voice, brand narrative analysis, or competitive AI visibility measurement
• experience analyzing knowledge graphs, entity relationships, or source authority systems
• background in information retrieval, market intelligence, brand analytics, or strategic communications
• experience comparing behavior across multiple large language models and AI search environments
[ Why Join CiteWorks Studio ]
[ Why Join CiteWorks Studio ]
This role sits at the frontier of large language models, trusted sources, AI-generated answers, AI citation intelligence, AI Citation Strategy, and generative search systems.
The Director of AI Reputation & Narrative Intelligence will help advance research into how modern large language models evaluate trusted sources, generate AI-generated answers, shape brand narratives, and influence who buyers trust.
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 whether a brand is cited, positioned, recommended, trusted, or ignored. That is highly consistent with CiteWorks Studio’s approved brand language and current leadership-role framing.
This role sits at the frontier of large language models, trusted sources, AI-generated answers, AI citation intelligence, AI Citation Strategy, and generative search systems.
The Director of AI Reputation & Narrative Intelligence will help advance research into how modern large language models evaluate trusted sources, generate AI-generated answers, shape brand narratives, and influence who buyers trust.
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 whether a brand is cited, positioned, recommended, trusted, or ignored. That is highly consistent with CiteWorks Studio’s approved brand language and current leadership-role framing.
[ 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.
AI Reputation Intelligence
The analysis of how large language models describe and frame brands across AI-generated answers.
Narrative Intelligence
The study of how themes, descriptions, associations, and perceptions become reinforced across large language models and generative search systems.
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.
Large Language Model (LLM)
A machine learning model trained on massive datasets that can generate text, answer questions, and perform reasoning tasks.
AI Reputation Intelligence
The analysis of how large language models describe and frame brands across AI-generated answers.
Narrative Intelligence
The study of how themes, descriptions, associations, and perceptions become reinforced across large language models and generative search systems.
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 Citation Strategy, 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 evaluate trusted sources, generate AI-generated answers, shape narrative framing, and determine which brands become cited, positioned, recommended, and trusted across generative search systems.
If you are passionate about large language models, trusted sources, AI-generated answers, knowledge graphs, AI citation intelligence, AI Citation Strategy, 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 evaluate trusted sources, generate AI-generated answers, shape narrative framing, and determine which brands become cited, positioned, recommended, and trusted across generative search systems.