Christian Rich is the Founding US Sales Lead at Azoma, an agentic commerce optimization platform that helps brands improve visibility across AI-powered search and shopping experiences. Working with consumer brands, he focuses on how product content is discovered, interpreted, and recommended by ChatGPT, Amazon Alexa, Walmart Sparky, and other AI assistants. Christian specializes in digital shelf strategy, conversational search, content structuring, and LLM-driven product discovery and conversion.
Amazon’s shorter title limit reflects a broader change in how consumers discover and evaluate products online. As mobile shopping, conversational prompts, and AI assistants reshape search, brands must create content that works for both people and algorithms. How can they adapt without sacrificing visibility or conversion?
The answer is to treat concise titles as part of a wider shift toward prompt-based, agent-assisted shopping, according to Christian Rich, an expert in agentic commerce and digital shelf strategy. Brands should write clear, human-friendly titles, move valuable keywords and product details into structured content, and identify the category questions AI tools are prompting shoppers to ask. Christian also recommends making product pages specific enough for assistants to confidently match products with detailed consumer requests. By connecting marketplace content with broader AI-discovery strategies, brands can improve their chances of being surfaced, recommended, and selected.
In this episode of The Digital Deep Dive, Aaron Conant talks with Christian Rich, Founding US Sales Lead at Azoma, about Amazon’s new 75-character title limit and the rise of AI-assisted shopping. Christian explores cleaner titles, structured item highlights, and prompt-ready product content. He also examines Alexa-driven discovery and the connection between retailer pages and ChatGPT visibility.
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