About the Founder

Eric Mees de Saboya Ribeiro

Founder and CEO of Criamente. Pioneer in Generative Engine Optimization in Brazil. Developer of the findability framework and the Destination Algorithmic Readiness Score (DARS).

Um homem de barba e óculos sorri para a câmera em um terraço, com um grande edifício histórico de pedra e plantas verdes ao fundo.

Pioneer in Generative Engine Optimization in Brazil

Eric Saboya is the founder and CEO of Criamente, a digital brand architecture agency based in Niterói, Rio de Janeiro, Brazil. His practice sits at the convergence of brand strategy, user experience design, semantic web engineering, and generative search visibility — building integrated systems that make brands interpretable to both human audiences and algorithmic environments.

Saboya is among the earliest practitioners in Brazil to develop and systematize applied methodologies for Generative Engine Optimization (GEO), the discipline concerned with how digital entities achieve visibility and citation within AI-generated responses from systems such as ChatGPT, Google Gemini, and Perplexity AI.

His approach to GEO diverges from technical-first interpretations of the discipline. Saboya treats structured data implementation, semantic authority, entity consistency, and cross-platform editorial presence as interdependent layers of a single architectural system rather than isolated optimization tactics. The central argument: brands that are structurally legible to machines do not require visibility campaigns — they generate discoverability as a consequence of correct architecture.

In 2026, Saboya published original research on SSRN introducing three novel constructs to the GEO literature: Territorial Algorithmic Invisibility (TAI), the Proximity Shadow Effect, and the Destination Algorithmic Readiness Score (DARS). The paper presents the first diagnostic framework for GEO applied to local tourism destination entities, derived from a structured audit of Neltur, the official tourism company of Niterói. The work extends existing GEO theory beyond brand and professional entities into geographic and institutional contexts.

Criamente: Brand Architecture for Human and Algorithmic Audiences

Under Saboya's direction, Criamente operates through four integrated practice areas: UX Design, Content, Web Development, and Encontrabilidade. The latter is the agency's proprietary framework for search and AI visibility — a structural approach to making brands discoverable, interpretable, and citable across search engines, knowledge graphs, and generative AI platforms.

Saboya developed and coined the concept of findability as a strategic frame that unifies technical SEO, GEO, content architecture, and entity management into a coherent methodology. The concept reflects his foundational argument: traffic is a consequence of structure, not a product of campaigns.

The agency serves Brazilian organizations across sectors, delivering brand architecture systems designed for coherent presence in both human-mediated and algorithmically mediated information environments.

International Research Partnerships

Saboya serves as the official Brazilian representative for Searchable, a UK-based AI brand monitoring platform that tracks how brands appear within AI-generated responses across major LLM platforms. The partnership extends his focus on algorithmic brand presence into the domain of systematic measurement — an area most agencies have not yet operationalized.

This role reflects a consistent thread in Saboya's work: the conviction that what cannot be measured cannot be managed, and that the next competitive frontier in brand visibility is not content volume but entity legibility.

Background

Saboya holds a degree in Industrial Design from the School of Fine Arts at the Federal University of Rio de Janeiro (UFRJ). His editorial and design background shapes Criamente's methodological character: precise, structurally grounded, and oriented toward long-term interpretability rather than short-term performance metrics.


Published Research

Saboya, E. (2026). Territorial Algorithmic Invisibility: A Diagnostic Framework for Generative Engine Optimization Applied to Local Tourism Destination Entities. SSRN. [link to paper]