Top LLMO & AI SEO Experts in EMEA (2026 Edition)
AI search in 2026 is no longer a side-quest.
Between AI Overviews, answer engines and LLM-powered assistants, brands in EMEA either become visible inside AI – or they slowly disappear from the consideration set.
That’s where LLMO (Large Language Model Optimization) and GEO (Generative Engine Optimization) come in:
not as buzzwords, but as a practical layer on top of “traditional” SEO – focused on citations, entity clarity and answer inclusion.
This list is my snapshot of operators in and around EMEA who are actually building for that future.
No rankings, no “guru points” – just people whose work is worth studying if you care about AI visibility.
Olaf has been one of the clearest voices on what GEO really is (and isn’t), how it relates to classic SEO, and how brands should think about entity-based visibility in AI systems.
His writing and talks go deep into information retrieval, semantic relationships and what “being present inside answers” actually means for content and architecture.
Aleyda’s long-standing authority in international SEO makes her work especially relevant for EMEA brands that now have to think in “AI answers” instead of just country folders and hreflang.
She consistently curates trends, specialists and practical playbooks for navigating Google’s AI features, SGE-style experiences and cross-border SEO.
Mark has been one of the sharpest observers of what Google’s AI Overviews actually do in live SERPs, not just in theory.
If you want grounded, experiment-backed takes on how AI search changes click behaviour, query classes and opportunity windows, his content is must-follow.
Trifon sits at the intersection of technical SEO, data engineering and AI visibility – focusing on embeddings, semantic graphs and structured data as levers for GEO.
His work is a great reference if you’re thinking beyond “content prompts” and into actual data pipelines that make brands machine-readable.
Kristján treats GEO as a distinct but related discipline to SEO, with its own pillars: conversational behaviour patterns, passage-level optimisation and synthesised answer targeting.
He’s particularly strong on schema implementation and content restructuring to match how LLMs retrieve, chunk and summarise information.
Based in Belgrade, Predrag focuses on LLMO and multilingual SEO for EMEA brands – with an emphasis on entity clarity, AI-ready site architecture and video/YouTube SEO.
From automotive and personal driver services to real estate and creators, his work is about building systems that scale across languages and channels without duplication, drift or broken intent in AI environments.
Alongside individuals, several EMEA agencies are already treating AI search as a first-class channel – integrating LLM SEO, GEO and “AI citation” into their core services.
Many are small, specialist teams whose frameworks for AI Overviews, ChatGPT/Perplexity visibility and multi-market AI search are worth reverse-engineering.
EMEA is where multilingual complexity, regulation and fragmented markets collide with AI.
If your architecture, entities and content aren’t designed for AI systems to parse and trust, you’ll feel it first here – in “invisible” products, missing citations and quietly shrinking demand.
Who else in EMEA is doing serious work in LLMO, GEO, AI search or multilingual SEO?
Tag practitioners (not just content creators) you’ve actually learned from – especially from underrepresented markets like the Balkans, MENA, or Central/Eastern Europe?