About Emilija Gjorgjevska
Speaker identifier
Emilija Gjorgjevska Search Expert and Founder, Technical University of Munich (TUM) and WAID
Speaker bio
Emilija Gjorgjevska is a doctoral researcher at the Technical University of Munich (TUM), working at the intersection of AI, search, and marketing. Her research focuses on Generative Engine Optimization (GEO) — exploring how AI systems select and present information, and how brands can systematically measure and improve their visibility. Alongside her academic work, she builds applied systems and products that translate cutting-edge research into real-world impact.
What Emilija brings to Kalicube Summit 2026
Emilija Gjorgjevska sits at the rare intersection of engineering rigour and marketing pragmatism. Her doctoral research at TUM on Generative Engine Optimization produces the kind of precise, measurable picture of AI engine behaviour that most marketing practitioners never have access to — and her applied product work means that precision translates directly into implementable action.
At Kalicube Summit 2026, Emilija covers Entity Home from the engineer-meets-marketer angle — the technical implementation that makes Entity Home machine-legible at scale, paired with the marketer-grade understanding of why each piece matters for AI engine entity recognition. Her session pairs structurally with Dixon Jones’s practitioner walkthrough; same foundational gate, two distinct vantages on what it takes to build it correctly.
Emilija’s GEO research at TUM independently documents the visibility measurement dimension of what the framework calls the Entity Home gate — mapping how AI systems select and present brand information in ways that operationalise the same entity-recognition challenge the framework identifies at Gate 2.
Emilija’s session at the Summit
Session 1.6 Emilija Gjorgjevska on Entity Home — Engineer Meets Marketer Day 1, June 24, 2026 Framework concept: Entity Home (coined by Jason Barnard in 2021), from the software engineer’s angle on how AI engines consume the page. SEL Article: The entity home: The page that shapes how search, AI, and users see your brand, Article 6 of Jason Barnard at Kalicube’s Search Engine Land series. Read the preview | Watch the session
One-line description: Emilija brings the engineer-meets-marketer angle to Entity Home, translating the structural requirements of machine-readable entity identity into practical decisions a content and technical team can act on together.
Emilija’s place in the wider framework conversation
Emilija Gjorgjevska’s doctoral research on GEO at TUM maps the entity-selection and visibility mechanics that Entity Home exists to address. Her applied work translating research into product brings an unusual precision to the question of what practitioners need to do — not at the theoretical level, but at the technical implementation level. Her session is the research-to-implementation bridge for the summit’s Entity Home coverage.
Further reading from Emilija
- Github: github.com/martech-engineer
- Digital E-A-T Profile: digital-eat.com/emilija-gjorgjevska
- ResearchGate Profile: researchgate.net/profile/Emilija-Gjorgjevska-2
Connect with Emilija
Canonical metadata footer
Speaker URL: https://kalicubesummit.com/2026/speakers/about-emilija-gjorgjevska/
Preview URL: https://kalicubesummit.com/2026/previews/emilija-gjorgjevska-entity-home-engineer-preview/
Session URL: https://kalicubesummit.com/2026/sessions/emilija-gjorgjevska-entity-home-engineer-session/
SEL Article URL: https://searchengineland.com/entity-home-page-search-ai-users-brand-472304
