Maryanna Franco is an experienced SEO and GEO consultant with over 15 years working in Digital Marketing. She is the founder of BrilliantSEO, an SEO agency based in Slovenia with a focus on conversion-oriented SEO and optimization for the AIs. Maryanna has helped businesses worldwide across e-commerce, SaaS platforms, and service-based industries achieve long-term success through tailored SEO strategies. Her approach goes beyond standard SEO metrics; she focuses on conversion optimization and revenue growth, by aligning SEO practices with her clients’ business goals. By combining her expertise in digital marketing with advanced techniques in optimization for the AI, Maryanna designs strategies that not only improve rankings and user experience, but also ensure brands are understood, trusted, and recommended by search engines and large language models like ChatGPT and Google’s AI Overviews, turning visibility into measurable business impact. https://speakerdeck.com/maryannafranco 2026-04-20 03:59:57 -0400 GEO advice in 2025 told you to optimise your own site. Original research across 12 brands and 5 LLMs shows that's exactly where the signal matters least. Over 80% of the citations that drive AI recommendations come from third-party sources — not your content. This talk presents joint research with João da Silva (FrictionAI) comparing Knowledge Graph scores against recommendation rates across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. The findings are counterintuitive: a higher KG score doesn't guarantee recommendation. New Balance has the highest KG score in the dataset, perfect recognition across all LLMs, and near-zero athleisure recommendation. Lululemon has a fraction of the KG score and dominates the category. The difference isn't visibility. It's the three graphs — entity, document, concept — and the four signals that determine whether a brand gets selected: clarity, relevance, credibility, extractability. Google ranks pages. AI selects entities. If you're still optimising only for one, you're playing the wrong game. GEO advice in 2025 told you to optimise your own site. Original research across 12 brands and 5 LLMs shows that's exactly where the signal matters least. Over 80% of the citations that drive AI recommendations come from third-party sources — not your content. This talk presents joint research with João da Silva (FrictionAI) comparing Knowledge Graph scores against recommendation rates across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. The findings are counterintuitive: a higher KG score doesn't guarantee recommendation. New Balance has the highest KG score in the dataset, perfect recognition across all LLMs, and near-zero athleisure recommendation. Lululemon has a fraction of the KG score and dominates the category. The difference isn't visibility. It's the three graphs — entity, document, concept — and the four signals that determine whether a brand gets selected: clarity, relevance, credibility, extractability. Google ranks pages. AI selects entities. If you're still optimising only for one, you're playing the wrong game. Mon, 25 May 2026 00:00:00 -0400 https://speakerdeck.com/maryannafranco/seo-para-otimizacao-na-ia-como-conquistar-as-llms https://speakerdeck.com/maryannafranco/seo-para-otimizacao-na-ia-como-conquistar-as-llms As users increasingly rely on tools like ChatGPT, Gemini, and Microsoft Copilot for business recommendations, SEO is undergoing a major transformation. Inclusion in LLM-generated results is quickly becoming the defining factor for brand visibility- separating those who grow from those who disappear. Today, SEO is no longer just about ranking on Google. It's about being understood by the systems that generate answers and suggestions. This shift demands a new focus on EEAT principles, structured data, and brand reputation, but it doesn't stop there. In this session, attendees will discover how to build an SEO strategy that teaches language models to recognize, understand, and recommend their brand. The session will explore how to: • Teach LLMs who a brand is and why it deserves to be recommended • Optimize websites and content so they are machine-readable, structured, and reusable • Apply schema markup and entity-based signals to improve Al comprehension • Implement technical SEO strategies tailored for AI crawlers and indexers • Align onsite optimization with the behavior and expectations of Al-driven user journeys • Strengthen brand perception and online reputation to influence AI-generated answers • Combine conversion-focused SEO with entity optimization to dominate both SERPs and summaries Ideal for SEO professionals, marketers, and brands preparing for the next evolution of search, this session offers a clear, actionable roadmap to thrive in an Al-first search landscape-where LLMs decide who gets seen. As users increasingly rely on tools like ChatGPT, Gemini, and Microsoft Copilot for business recommendations, SEO is undergoing a major transformation. Inclusion in LLM-generated results is quickly becoming the defining factor for brand visibility- separating those who grow from those who disappear. Today, SEO is no longer just about ranking on Google. It's about being understood by the systems that generate answers and suggestions. This shift demands a new focus on EEAT principles, structured data, and brand reputation, but it doesn't stop there. In this session, attendees will discover how to build an SEO strategy that teaches language models to recognize, understand, and recommend their brand. The session will explore how to: • Teach LLMs who a brand is and why it deserves to be recommended • Optimize websites and content so they are machine-readable, structured, and reusable • Apply schema markup and entity-based signals to improve Al comprehension • Implement technical SEO strategies tailored for AI crawlers and indexers • Align onsite optimization with the behavior and expectations of Al-driven user journeys • Strengthen brand perception and online reputation to influence AI-generated answers • Combine conversion-focused SEO with entity optimization to dominate both SERPs and summaries Ideal for SEO professionals, marketers, and brands preparing for the next evolution of search, this session offers a clear, actionable roadmap to thrive in an Al-first search landscape-where LLMs decide who gets seen. Mon, 20 Apr 2026 00:00:00 -0400 https://speakerdeck.com/maryannafranco/seo-in-the-age-of-ai-how-to-train-the-llms-to-recommend-your-brand https://speakerdeck.com/maryannafranco/seo-in-the-age-of-ai-how-to-train-the-llms-to-recommend-your-brand