ChatRank // May 2025 — Present

AI Search & Brand Authority

Generative Engine Optimization (GEO)

Leading the growth and strategic orchestration for an industry-pioneering platform designed to help enterprise brands defend their authority in the generative AI era. While the platform is in active development, our focus remains on engineering the frameworks that turn LLM retrieval patterns into measurable market share and digital citation frequency.
Explore the platform → chatrank.ai

AEO/GEO Market Category Defining the New Search

Multi-LLM Model Coverage GPT, Gemini, Perplexity

Citations Primary Focus Authority & Inclusion

Defensive Target Alpha Market Share Protection

The Strategic Architecture

Engineering the Future of Visibility

Decoding LLM Retrieval Patterns

The Challenge

AI search engines operate as 'black boxes' compared to traditional SEO. Understanding why a model cites one brand over another requires analyzing training data representation, semantic proximity, and real-time retrieval-augmented generation (RAG) signals.

The Strategic Solution

Developed research-driven workflows to analyze how generative systems select and cite sources. We are building the analytical core of ChatRank to provide brands with transparency into the 'Retrieval' phase of AI responses, allowing them to optimize for citation frequency rather than just ranking.

From Keywords to Entity Authority

The Challenge

Traditional search is driven by keywords; AI search is driven by entities and relationships. Brands risk losing visibility if their digital footprint is unstructured or semantically disconnected from the topics they aim to lead.

The Strategic Solution

Architecting frameworks that translate website content into structured knowledge representations. By emphasizing schema markup, entity relationships, and knowledge graph signals, we help organizations ensure their brand identity is 'interpretable' by LLMs as a definitive authority.

Iterative Product-Market Fit (PMF)

The Challenge

Building a platform for a rapidly shifting technological landscape requires balancing long-term product vision with the immediate needs of early-adopting enterprise customers.

The Strategic Solution

Serving as the primary translation layer between customer feedback and engineering priorities. By focusing on immediate value-adds—such as monitoring brand appearance across multiple AI platforms—we are ensuring the platform delivers ROI today while building the data moats of tomorrow.

Category Creation & GTM Education

The Challenge

Enterprise marketing leaders are often stuck in legacy SEO mindsets. Educating the market on the fundamental shift to Answer Engine Optimization (AEO) is a prerequisite for platform adoption.

The Strategic Solution

Developing thought leadership and GTM frameworks that highlight the 'Citation Gap.' By identifying partnership opportunities with technology providers and agencies, I am expanding the adoption of AI visibility analytics as a standard component of the modern enterprise stack.

Technical Execution

The Toolkit for Transformation

LLM Analytics RAG Architectures Structured Data (JSON-LD) Knowledge Graphs Python Vector Databases

Lead Role: Growth & Partnerships

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