OUR STORY: Generative Brand Optimization™

TJ | Taoufik Jazouli, Ph.D. | LinkedIn

“In 2010, I developed a probabilistic machine learning model to solve a multi-billion-dollar problem for NASA, Boeing, and other avionics organizations. I reverse-engineered the operational availability of a fleet of aviation systems to predict the required design and logistics parameters. Today, our team is applying that same mental model to solve one of the most urgent branding problems in retail, as popular retailers are being omitted from AI answers and becoming irrelevant. Briefly, we have reverse-engineered AI answers to compute the required brand attributes to be recommended by AI engines.” stated Dr. Jazouli, sharing the origin story behind Generative Brand Optimization™.

Dr. Jazouli is a serial entrepreneur, inventor and branding wizard. He is the inventor and founder of Generative Brand Optimization™. He has a bachelor, two masters, and a doctorate in technical (AI, machine learning, data science, etc.) and business (branding, marketing, advertising, etc.). Dr. Jazouli has led several retail organizations to launch billion-dollar brands. He is currently based in Virginia, with his wife and two young children.

RETHINK Retail Branding

While there is an accelerating shift from search engines to AI answers, popular retailers are being omitted from AI answers and becoming irrelevant. Unfortunately, AI answers reasoning is completely different from traditional search engines or SEO. In many cases, brands appearing on the first page of a Google search, are not being recommended at all by AI answers.

We spent the last year, and a significant budget and resources, conducting advanced research to reverse-engineer AI recommendations. As a result, we have developed Generative Brand Optimization™, a new approach to make AI answers recommend a specific retail brand. This is not a plug and play tool, but rather a comprehensive brand AI strategy that enables AI to recommend your retailer, attract your ideal audience, and convert them into lifelong customers.

While, most of the world is trying to catch up with the AI evolution and changes, we’re solving for what’s not going to change, that is AI will continue to become more and more human-like.