Maryanna Franco
About
Maryanna Franco is an experienced SEO and generative engine optimization (GEO) consultant with over 15 years of experience 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 AI systems.
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 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 such as ChatGPT and Google’s AI Overviews, turning visibility into measurable business impact.
Maryanna Franco | You Can’t Out-Rank an Entity in AI — You Have to Become One
Most brands approaching AI visibility are treating it as a ranking problem. They are producing more content, earning more mentions, and building more authority signals - all tactics borrowed from a search mindset and applied to a system that works differently.
AI language models reconstruct understanding, i.e., they do not rank pages. When a model answers a question about a industry, it is not retrieving the highest-authority result; it is drawing on everything it has learned about who the relevant players are, what they stand for, and how confidently it can describe them. Brands that appear consistently in those answers are simply better defined.
This session introduces the entity definition gap: the real reason two brands with comparable content, comparable links, and comparable press coverage can produce completely different results in ChatGPT, Perplexity, or Gemini. One is a coherent entity across the web. The other is a collection of signals that no model has been able to assemble into a clear picture.
Through real brand examples with measurable before-and-after outcomes, Maryanna Franco shows exactly what entity definition looks like in practice: which signals matter, where they need to appear, how they need to connect, and how to audit the current state of one’s own brand in under an hour.
The audience will leave with a working framework for diagnosing their entity definition gap, a clear model for fixing it across owned, earned, and third-party sources, and a way to measure progress that connects to business outcomes rather than vanity metrics.
This is not a session about the future of SEO. It is a session about what is already deciding which brands get recommended and which ones do not.