Executive Leadership Team
The people behind Brandi AI
Built for visibility, trust, and measurable growth, Brandi helps transform AI discovery from a blind spot into a competitive advantage.
Leah Nurik
CEO and Co-Founder
Leah Nurik is CEO and co-founder of Brandi AI, bringing more than 20 years of experience helping B2B technology companies define markets, sharpen positioning, and accelerate growth. She has advised more than 400 growth-stage software companies and held senior strategy, product, and marketing roles at Motorola, Symbol Technologies, Infowave, and other technology organizations. Before Brandi AI, Leah founded and led Gabriel Marketing Group, an award-winning public relations and integrated marketing agency for B2B technology companies. She brings deep expertise in brand strategy, communications, product marketing, and go-to-market execution to Brandi AI’s mission and growth.
Andrew Bagrin
SVP, Revenue
Andrew Bagrin is Senior Vice President of Sales at Brandi AI, where he leads sales strategy, revenue growth, enterprise relationships, and market expansion. He is an experienced entrepreneur, founder, CEO, and technology executive with deep expertise across IT, security, network infrastructure, consulting, and account leadership. Andrew has worked with Fortune 50 and Fortune 100 companies, top service providers, and major security vendors, helping organizations align complex technology with business-critical goals. He brings a strong track record building global account partnerships and leading commercial strategy across security, virtualization, network infrastructure, and enterprise technology markets.
Liam Darmody
VP, Customer Success & GTM Operations
Liam Darmody is Vice President of Customer Success and Go-to-Market Operations at Brandi AI, where he helps customers turn AI visibility insights into clear, repeatable action. He brings nearly 20 years of experience across customer success, revenue operations, go-to-market strategy, sales enablement, and process architecture at high-growth technology companies. Liam joined LivingSocial as employee #20 and built through four acquisitions involving Groupon, CoStar, Oracle, and TELUS International across ecommerce, real estate technology, enterprise data, and digital consulting. At Brandi AI, he brings an operator’s mindset to helping customers build scalable workflows for AI-driven brand visibility.
Gennady Nurik
CTO and Co-Founder
Gennady Nurik is CTO and co-founder of Brandi AI, where he leads technology strategy, product architecture, and engineering execution. He brings deep experience building products, scaling engineering organizations, and solving complex technology and data challenges across startups, private-equity-backed companies, and public enterprises. Before Brandi AI, Gennady served as Vice President of Engineering at Oracle, where he led multiple product and platform engineering groups and scaled teams of more than 100 engineers across the U.S. and overseas. His background spans data engineering, cloud computing, security, product development, and technical leadership at enterprise scale.
Built for the AI discovery Era
Brandi AI is a leading platform for enterprise Brand Intelligence, AI visibility and Generative Engine Optimization (GEO). Built on a powerful intelligence layer, Brandi helps organizations stay visible as online discovery shifts from search engines to Generative AI answer engines like ChatGPT, Gemini, Google AI Overviews, Microsoft Copilot and Perplexity, revealing where brands stand in this new landscape. Brandi tracks the high-intent questions buyers ask AI and shows whether—and how—a brand is mentioned or cited in AI-generated answers.
With this foundation, Brandi provides data-driven guidance to help marketers refine existing web content and create AI-ready content designed to earn brand mentions and citations in AI answer engines. Trusted by Fortune 500 companies, global agencies and mid-market brands across B2C and B2B, Brandi helps CMOs and product marketers define category strategy, enables content, PR, SEO and digital teams to drive visibility and supports founders and startups in gaining early traction.
Frequently Asked Questions
What is Generative Engine Optimization?
Generative Engine Optimization, or GEO, is the practice of making a brand more discoverable, understandable, citable, and recommendable within AI-driven search and answer systems. Unlike traditional SEO, which focuses on rankings in search results, GEO focuses on how AI systems interpret brand information, retrieve relevant sources, and generate answers. For brands, GEO helps ensure that accurate, authoritative, and useful information is available when buyers ask AI tools category, product, or vendor-related questions.
Why does AI visibility matter for brands?
AI visibility matters because buyers are using AI answer engines to research products, compare vendors, evaluate options, and make decisions earlier in the buying journey. When a brand is absent, misrepresented, or uncited in AI-generated answers, it can lose influence before a prospect ever visits a website or speaks with sales. Strong AI visibility helps brands remain discoverable, credible, and competitive as customer discovery shifts from traditional search results to generated answers.
How does Brandi AI help marketing teams improve AI visibility?
Brandi AI helps marketing teams understand how their brand appears across AI-generated answers, which high-intent questions trigger mentions, where competitors are gaining visibility, and where citation or content gaps exist. These insights help teams prioritize content updates, strengthen category positioning, improve source quality, and create AI-ready content that is easier for answer engines to understand and use. Brandi gives marketers a clearer view of brand performance in AI-driven discovery.
What should brands look for in an AI visibility or GEO platform?
Brands should look for an AI visibility or GEO platform that tracks how they appear across major AI answer engines, identifies which buyer questions trigger mentions, shows where competitors are cited, and explains why certain sources are used. The platform should help teams move from measurement to action by surfacing content gaps, citation opportunities, competitive insights, and practical recommendations for improving brand discoverability in AI-generated answers.
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