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HomeTechnologyAINewsHow to Make Your E-Commerce Product Visible to AI Agents? Use This New System Trusted by L’Oréal, Unilever, Mars & Beiersdorf
How to Make Your E-Commerce Product Visible to AI Agents? Use This New System Trusted by L’Oréal, Unilever, Mars & Beiersdorf
AISaaSCTO PulseEntrepreneurshipEcommerceRetail

How to Make Your E-Commerce Product Visible to AI Agents? Use This New System Trusted by L’Oréal, Unilever, Mars & Beiersdorf

•March 9, 2026
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VentureBeat
VentureBeat•Mar 9, 2026

Why It Matters

As AI assistants replace human browsers, brands need a controlled, data‑rich interface to ensure accurate representation and capture revenue in the emerging agentic commerce market.

Key Takeaways

  • •AMP centralizes product data for AI agent consumption
  • •Early adopters see up to 14x AI‑driven traffic
  • •Protocol offers brand governance, compliance, and performance metrics
  • •Targets high‑volume CPG and FMCG manufacturers
  • •Pricing moves toward outcome‑based revenue sharing

Pulse Analysis

The e‑commerce landscape is being reshaped by AI assistants that shop for users. Morgan Stanley forecasts that by 2030 agentic interactions could represent 10‑20 % of U.S. retail spend, or $190‑$385 billion. Traditional product pages, built for human clicks and SEO, do not meet the data needs of large‑language‑model agents, which scrape any web source. This creates a “black‑box” risk where brand messages are overwritten by outdated forum or affiliate content. Brands now need a machine‑native, centrally governed catalog that speaks the language of LLMs.

Azoma’s Agentic Merchant Protocol (AMP) provides that catalog by converting SKUs, ingredients, regulatory statements and brand guidelines into a canonical, machine‑readable feed. The data is syndicated across open‑web endpoints and any AI assistant, avoiding vendor lock‑in. Early adopters—L’Oréal, Unilever, Mars, Beiersdorf—report a 14‑fold rise in ChatGPT‑driven traffic for a ski‑helmet brand, a 5‑times increase in Amazon‑agent mentions, and conversion lifts up to 32 % in tests. AMP also includes RegGuard compliance checks and citation tracking for full visibility.

AMP marks a transition from classic SEO to Agentic Commerce Optimization, where brand control and measurable ROI dominate. Azoma plans to shift from fixed‑fee SaaS contracts to outcome‑based pricing, echoing performance‑driven ad models and likely spurring broader enterprise adoption. For C‑suite executives, securing a standardized, auditable data layer before AI agents become the primary purchase channel is essential to protect brand equity. As the March 12 London launch approaches, the momentum behind agentic commerce is set to accelerate, redefining product visibility and compliance.

How to make your e-commerce product visible to AI agents? Use this new system trusted by L’Oréal, Unilever, Mars & Beiersdorf

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