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Nile

Nile is an agentic commerce stack that makes brands discoverable and purchasable by AI shopping assistants like ChatGPT, Gemini, and Perplexity. The platform compiles a merchant's product catalog into structured, AI-readable context cards and distributes them across all major agentic commerce protocols—ACP, UCP, MCP, and Agent Skills—with a single integration. Merchants keep their own checkout, customer data, and repeat-purchase relationships, and only pay when a sale is completed.

Traction 8/10
Dover, United States · HQ
Founded 202410300+ followers
  • Commerce & Shopping
  • Artificial Intelligence
  • Retail Technology
  • Software Only
Updated 7 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Consumers increasingly ask AI assistants like ChatGPT, Gemini, and Perplexity for product recommendations rather than searching the web, yet most online stores are invisible to these agents because their product pages are not structured in a format AI can read. Merchants face a growing number of competing agentic commerce protocols—ACP, UCP, MCP, and Agent Skills—each requiring different integration work, leaving brands without a dedicated integrations team unable to be discovered or recommended by AI shopping agents.

Solution

Nile provides an agentic commerce stack that compiles a merchant's product catalog into structured, AI-readable context and distributes it across every major agentic commerce protocol. The platform connects to existing commerce stacks—Shopify, product feeds, CSVs, or custom APIs—and automatically syncs live product data including price, stock, shipping eligibility, and approved brand claims. Nile builds a context card for each product that specifies who it is for, when to recommend it, and why it fits, then compiles that context into ACP, UCP, MCP, and Agent Skills formats. When a shopper asks an AI assistant for a recommendation, the agent reads the compiled catalog, recommends the brand's products, and completes the order in the merchant's own checkout, keeping the customer record and repeat-purchase data with the brand.

Target Audience

Primary customers are e-commerce merchants on Shopify, headless or custom stacks, and brands with product feeds who want to be discoverable and sellable through AI shopping assistants across ChatGPT, Gemini, Perplexity, and emerging agentic platforms.

Features

  • One integration compiles product catalogs to all four agentic rails: ACP (ChatGPT/Stripe), UCP (Google), MCP (open standard), and Agent Skills (Anthropic)
  • Live price, stock, and shipping eligibility synced automatically from the merchant's store so agents never recommend stale or unavailable items
  • Per-product context cards defining who the product is for, when to recommend it, and why it fits, with merchant-approved claims and tone guardrails
  • Checkout hand-off that keeps the merchant as seller of record with customer data, returns, and repeat purchases staying with the brand
  • Attribution dashboard tracking click-through and completed sales per channel, with ranking tracked across query sets and intents
  • Merchant rules enforcement including approved claims, exclusions, and regional restrictions applied identically on every rail
  • Natural-language control for claims, voice, and guardrails, allowing merchants to update context without technical work
This profile is AI-generated and may contain inaccuracies.