As AI agents increasingly take on roles in researching and purchasing products on behalf of consumers, the e-commerce landscape is undergoing a significant transformation. Azoma, an AI-driven e-commerce startup, has launched the Agentic Merchant Protocol (AMP) to help brands maintain control and visibility in this emerging agentic commerce ecosystem.
Addressing the Challenges of Agentic AI E-commerce
Traditional e-commerce platforms rely on static, manually updated product data spread across multiple marketplaces, which complicates consistent brand representation. Current AI integration protocols focus mainly on discovery and payment but offer limited brand oversight, often causing AI agents to fetch and synthesize unverified product information from the web. This results in a “black box” effect where brands lose control over product messaging.
Azoma’s AMP serves as a centralized, machine-native system of record, compiling brand intelligence, legal requirements, and product data into a unified format designed for AI ingestion. According to CEO Max Sinclair, this protocol challenges the legacy model dominated by marketplaces like Amazon and Walmart by enabling brands to adapt to an AI-driven world without fixed product pages.
Ensuring Brand Sovereignty in a Multi-Agent Ecosystem
The protocol is already being adopted by major consumer goods companies such as L’Oréal, Unilever, Mars, and Beiersdorf, highlighting the urgency for these corporations to safeguard their brand identities amid rising AI agent usage. AMP offers canonical machine-native catalogues enriched with persona-level signals, programmatic distribution across open web platforms, and agent-agnostic infrastructure to avoid vendor lock-in.
Furthermore, it provides tools for performance monitoring, enabling technical teams to observe how AI agents prioritize product attributes and ensure compliance across multiple platforms, thereby maintaining consistent, accurate brand representation.
Building a Competitive Advantage through Intelligence
Beyond simple information distribution, Azoma’s platform includes RegGuard™ Compliance, an automated system auditing all AI-generated content against brand policies and regulatory standards. It also features advanced citation tracking, revealing the sources AI agents use when recommending products.
Early partners using the platform have reported substantial improvements, including increased site traffic from AI-driven sources and significant uplift in conversion rates. By overcoming technical obstacles like schema errors and crawlability issues, Azoma empowers brands to transition from passive observers to proactive managers of AI-driven commerce interactions.
Combining Marketplace Expertise with Advanced AI Research
Azoma’s leadership combines deep retail experience and AI research expertise. CEO Max Sinclair’s background at Amazon shaped his understanding of the limitations of traditional product listings. CTO Timur Luguev brings academic experience in multimodal deep learning, aiming to standardize product and brand information for optimized AI agent ingestion.
The protocol’s technical design emphasizes syndication across open online surfaces and continuous measurement of impact, fostering a new model where brand data influences AI reasoning indirectly but effectively.
Market Strategy and Licensing Model
AMP positions itself as a neutral, cross-platform alternative to major tech companies’ proprietary solutions, focusing on brand control and multi-agent data syndication rather than solely transaction execution. This represents a shift from conventional SEO to a new concept called Agentic Commerce Optimization (ACO), addressing rising consumer trust in AI-assisted recommendations.
Azoma currently offers enterprise contracts aligned with existing budgets of large companies but envisions transitioning toward an outcome-based pricing model. This approach would link payment to the incremental revenue generated through successful AI agent interactions, similar to modern advertising platforms.
The Future of Outcome-Based Agentic E-commerce
Azoma’s vision extends to tying revenue directly to agentic commerce performance, leveraging its access to brand data and customer interactions to provide rigorous ROI forecasting. This allows brands to optimize marketing actions by understanding which campaigns and syndication strategies yield the greatest impact.
With the upcoming launch event in London, Azoma signals a fundamental shift in e-commerce dynamics, emphasizing that fixed product pages are becoming obsolete. Industry leaders moving in unison around the AMP framework could set a new standard for AI-enabled commerce worldwide.
