Emberos Debuts 'Merchant' AI Visibility Layer to Optimize SKU Performance in LLMs

Quick Summary

Emberos has launched Merchant, the first AI visibility optimization layer designed to help brands track and improve their SKU-level performance within AI shopping environments like ChatGPT and Gemini. By automating revenue attribution and optimization, Merchant ensures products remain visible as consumers shift toward agentic commerce purchasing behaviors.

How Does AI Visibility Optimization Impact Modern Retail?

AI visibility optimization is the critical bridge between traditional e-commerce and the new era of agentic commerce. As consumers increasingly rely on Large Language Models (LLMs) to make purchasing decisions, brands risk becoming invisible if their data isn't structured for AI consumption. Emberos solves this by providing SKU-level visibility across platforms like ChatGPT, Claude, and Perplexity.

• Product Recommendation Rate (PRR) tracks how often your items appear in AI responses.
• Automated Fix Packs push optimization data directly into tools like HubSpot and Jira.
• Real-time performance monitoring segments results by informational, comparative, and transactional intent.

“Every SKU now has a second storefront that brands didn’t build, can’t see, and until now, couldn’t influence. The industry spent the last eighteen months measuring that problem. Brands don’t need another dashboard telling them they’re losing share inside ChatGPT Shopping. They need a system that fixes it and proves the dollars. That’s what Merchant is.” said Justin Inman, Founder and CEO, Emberos.

What Results Has the Merchant Agent Delivered for Brands?

The transition to AI-driven shopping is happening faster than the original rise of e-commerce, with McKinsey projecting a $5 trillion opportunity by 2030. Merchant doesn't just provide data; it delivers measurable revenue impact by closing the loop between visibility and purchase. Early internal validation has demonstrated an average 8% improvement in Product Recommendation Rate (PRR) per SKU.

• 8% PRR lift observed during internal validation phases.
• 40% of consumers already use AI for buying decisions.
• 70+ agencies now have access via the Stagwell Search+ integration.

“A one percent lift in Share-of-Prompt is worth real money. When it comes to AI visibility, measurement is just the starting line. The fix is what every business needs to change outcomes. At Emberos, we are in the outcomes business.” said Justin Inman, Founder and CEO, Emberos.

How Does Emberos Integrate with Existing Enterprise Workflows?

Unlike static dashboards, Merchant acts as an active optimization layer that integrates with the software teams already use. By connecting the Emberos Brand Knowledge Graph to platforms like Slack and Assembly’s Search+, the tool ensures that AI visibility optimization becomes a standard part of the marketing tech stack rather than a siloed experiment.

“Every other solution in the market is giving you data and insight, but it’s not particularly actionable and it doesn’t track to an outcome. Merchant changes that. It’s the optimization layer our clients have been waiting for, and integrating it into Search+ is already delivering results.” said Dan Roberts, Global SVP of Search, Assembly Global.

FF NEWS TAKE:

This launch represents a massive shift in AI visibility optimization. For years, SEO was about Google; now, it’s about the LLM recommendation engine. Emberos is moving beyond simple tracking to offer a functional 'fix' for the invisibility problem. In a world where agentic commerce could dominate $5 trillion in spending, being the 'optimization layer' for AI is a high-stakes, high-reward position that definitely moves the needle for retail fintech.