[ ABOUT US ]
We help brands close the gap between market authority and machine visibility.
CiteWorks Studio is a strategic advisory built for brands that need to be found, understood, and recommended in AI-shaped search environments.
Our work centers on embedding-level GEO, vector optimization, and cosine gap engineering.
We help companies align their content, authority signals, and digital presence with the retrieval systems that increasingly shape discovery, comparison, and buyer choice.
In an internet increasingly influenced by AI-generated answers, visibility is no longer just a ranking problem. It is also a retrieval problem.
A brand can be credible, proven, and commercially strong — and still be underrepresented in the answers buyers actually see. That gap is where we work.
[ OUR POINT OF VIEW ]
Modern visibility is not defined only by what you publish.
It is defined by what machines can interpret, retrieve, and reuse with confidence.
AI systems do not recommend brands simply because they are good. They recommend brands whose signals are clear, corroborated, semantically aligned, and easy to surface inside generated answers.
That is why our work goes deeper than traditional SEO and broader than generic AI content strategy. We help brands improve the underlying conditions that shape AI visibility: semantic structure, entity clarity, topical framing, citation readiness, and competitive alignment in vector space.
[ WHAT MAKES US DIFFERENT ]
We treat AI visibility as a systems problem
Most firms still treat AI visibility as a publishing problem. We do not. That means:
Looking at the distance between your intended positioning and the way AI systems actually model your category.
Understanding whether your authority is machine-legible.
Whether your content aligns with decision-stage retrieval patterns.
Whether your brand is structurally positioned to appear in the recommendation set.
Our work is designed to close that distance.
[ OUR CORE DISCIPLINES ]
How We Approach the Work
Embedding-Level GEO
We optimize for generative search at the representation layer — shaping content so AI systems can better interpret what your brand means, where it belongs, and when it should be retrieved.
Vector Optimization
We improve how your pages, topics, and supporting assets align with the concepts, comparisons, and intents that matter in your market.
Cosine Gap Engineering
We reduce the semantic distance between your intended authority and the language retrieval systems actually associate with your category, helping your brand move closer to the answers that influence real buying decisions.
[ WHO WE WORK WITH ]
Research-heavy, high-consideration categories
We work with brands where trust, comparison, and explanation shape the sale.
These are markets where buyers do not simply click. They evaluate. They compare. They ask AI systems who to trust.
In those moments, your brand should not be invisible, misread, or left out of the answer. It should be structurally positioned to be part of it.
[ WHAT WE BELIEVE ]
The future of search will not be won by brands that publish the most.
It will be won by brands that are easiest for intelligent systems to understand, connect, trust, and recommend.
That is the work we do at CiteWorks Studio.
[ LEADERSHIP ]
The Team Behind the Work
Founder and Head of Agency
Mark Huntley
Founder and Head of Agency
Mark Huntley is the founder of CiteWorks Studio and leads the firm's strategic direction across AI visibility, semantic positioning, and retrieval-focused growth strategy. With more than a decade of experience spanning performance media and global e-commerce, he helps brands strengthen how they are surfaced, interpreted, and recommended in AI-driven discovery environments.
Chief Operating Officer
Kaushal Malkan
Chief Operating Officer
Kaushal Malkan is Chief Operating Officer at CiteWorks Studio. With a background in Computer Science and 9+ years of experience building and scaling digital businesses, he leads operational systems, delivery infrastructure, and execution across client engagements. His experience spans automation, organic growth systems, and scalable frameworks designed to support complex, high-stakes mandates.
Your brand may already have the authority.
The question is whether AI systems can recognize it.
Work with UsFAQ
Common questions about our approach, methodology, and how we help brands improve AI visibility.
We place your brand on high-authority platforms that Google ranks and AI models read, so you become the natural answer in search results and AI-generated responses.
Search engines and LLMs rely on many of the same trusted sources. By appearing on those sources, your brand gains visibility in both search rankings and AI recommendations.
We place high-quality, brand-aligned content where LLMs learn. Over time, that helps your products and messaging appear more often in AI explanations, examples, and recommendations.
B2C and B2B brands that already have a solid offer and proven demand, but aren't getting the visibility, citations, or search presence they deserve — especially in competitive, research-heavy categories.