Customer Discovery Using AI Search in the Age of Agentic Commerce: The Case for Generative Engine Optimization

𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐔𝐬𝐢𝐧𝐠 𝐀𝐈 𝐒𝐞𝐚𝐫𝐜𝐡 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐞 𝐨𝐟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞: 𝐓𝐡𝐞 𝐂𝐚𝐬𝐞 𝐟𝐨𝐫 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐄𝐧𝐠𝐢𝐧𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧

Customer discovery is rapidly changing as AI-powered search and agentic commerce reshape how people find, evaluate, and choose products and services. As discovery moves beyond traditional search engines toward AI-driven conversations, brands need to understand not only where they appear, but how AI systems interpret, recommend, and rank them.

Kartik Sharma, Founder & CEO of RankinLLM (Aurora Intelligence), brings nearly two decades of experience across AI, search intelligence, enterprise transformation, and digital technologies. His work focuses on helping brands understand and optimise their presence across AI-driven discovery systems, making Generative Engine Optimization (GEO) an increasingly important strategic capability.

As AI increasingly influences the customer journey—from discovery and comparison to recommendations and action—the opportunity for brands goes beyond traditional search visibility. Organisations must understand how AI models perceive their offerings, what information influences recommendations, and how they can remain relevant within emerging AI-native discovery ecosystems.

The key question for businesses is therefore evolving from “How do customers find us?” to “How do AI systems discover, understand, and recommend us?” As agentic commerce continues to develop, brands that adapt early to AI-driven customer discovery can build stronger visibility, relevance, and competitive advantage.