LayerTen
LayerTen is an AI-commerce optimization platform that structures e-commerce product catalogs so AI shopping agents like ChatGPT, Gemini, and Perplexity can read, compare, and recommend them. The platform tracks weekly agent rankings, enriches missing product data, and uses deterministic smart pricing to generate optimal offers per query while enforcing merchant-set margin floors and MAP restrictions. It integrates with Shopify, WooCommerce, BigCommerce, and commercetools, and supports open standards like UCP, ACP, and MCP.
- Commerce & Shopping
- Retail Technology
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
AI shopping agents like ChatGPT, Gemini, and Perplexity are increasingly how consumers discover and compare products, but most e-commerce product pages are not structured for agents to read in one pass. Agents treat unreadable fields as missing data, causing stores with rich product information to be recommended while others—regardless of product quality—lose the sale.
Solution
LayerTen connects to a merchant's existing store and automatically structures catalog data so AI agents can parse, compare, and recommend products across all major agent platforms. The platform continuously monitors how agents rank the merchant versus competitors, then enriches missing fields like attributes, reviews, return policies, and pricing so the store is comparable at the moment of an agent query. In addition, LayerTen's smart-pricing engine dynamically adjusts offers per query based on merchant-defined guardrails like margin floors, inventory rules, and MAP restrictions—using deterministic mathematical optimization rather than AI improvisation. A dashboard tracks weekly agent-visibility rankings and explains win/loss reasons, while integrations with open standards such as UCP ensure product data remains portable across every agent ecosystem.
Target Audience
Primary customers are direct-to-consumer e-commerce brands selling on platforms like Shopify, BigCommerce, WooCommerce, and commercetools, that need to win AI-agent-driven product recommendations and compare favorably against competitors in agent-based shopping queries.
Features
- Weekly Agent Score audits that measure how AI agents rank a store across ChatGPT, Gemini, Perplexity, and Google AI Overviews, including pricing-readiness checks
- Context-based smart pricing that generates the optimal offer for each agent query while enforcing merchant-set margin floors, inventory rules, MAP restrictions, and movement limits
- Automated catalog enrichment that structures product titles, descriptions, attributes, reviews, and pricing into agent-readable fields without manual data entry or code changes
- Continuous monitoring of feed health and checkout-protocol integrity so integration breaks never silently cost recommendations
- Native integrations with Shopify, commercetools, BigCommerce, and WooCommerce
- Compliance with open agent-commerce standards including UCP (Unified Commerce Protocol), ACP, and MCP
- A negotiation engine in development for agent-to-agent offer conversations built on UCP open standards