Amazon’s cease and desist letter to Perplexity AI has sparked a defining debate over who controls the digital storefront. CRSTBL explores the competing visions of platform protection versus consumer freedom, examining how AI shopping agents could reshape e commerce, regulation, and the future balance of control between brands and buyers.
As AI agents reshape product discovery, traditional marketing attribution models are breaking down. CRSTBL introduces AIDX, a platform that turns conversational AI interactions into measurable insights—revealing customer intent, improving personalization, and redefining how brands understand the buyer journey in the AI era.
October 28, 2025, CRSTBL Inc. announced its engagement with Gartner, the world’s leading research and advisory firm, to enhance its go-to-market strategy for its AI-powered Discovery and Execution Engine. Through this collaboration, CRSTBL will leverage Gartner’s insights, benchmarks, and analyst expertise to sharpen its market positioning and drive adoption among enterprise and retail partners. The partnership highlights CRSTBL’s focus on strategic growth and innovation in AI-driven marketing, marking a pivotal step in its mission to transform how brands connect with consumers through intelligent discovery systems.
AI agents aren’t just talking to customers anymore. They’re talking to each other. As retailers, distributors, and platforms move toward agent-to-agent commerce, brand reputation increasingly depends on how well your autonomous systems communicate. This post breaks down why etiquette and consistent agent behavior is now core infrastructure. From data accuracy and consent to escalation protocols and failure handling, we outline the five principles of reliable agent conduct and how to operationalize them. Because in this new reality, a single bad interaction between your agent and a partner’s can quietly erode trust, cause costly errors, and push your brand down the algorithmic ranks.
We Asked AI to Evaluate Itself (Spoiler: It Said Yes)
As generative AI becomes a primary source of product information, brand controlled data is essential to prevent misinformation. CRSTBL explains how Generative Engine Optimization helps companies publish structured, verified data that AI systems can trust—protecting accuracy, compliance, and consumer confidence.
