ShopThru AI offers brands AI‑driven shopping agents that navigate the web, parse markdown, and convert AI‑based search traffic into sales. By deploying these agents, retailers can capture customers migrating from Google to platforms like ChatGPT, preserving revenue for categories such as beauty, apparel, and electronics. The service integrates with existing product catalogs ranging from 100 to 10,000 SKUs to automate the new AI shopper workflow.
Funding
Funding not disclosed
Founders
Product
Problem
Brands are losing a growing share of their search-driven traffic to conversational AI assistants such as ChatGPT, Perplexity, and Gemini, which now act as the final decision layer for product purchases. Incomplete or inconsistent catalog data prevents these AI agents from including many SKUs in their recommendation and checkout flows, causing revenue leakage without a clear way to measure or remediate the loss.
Solution
ShopThru AI provides an operating system that equips e‑commerce brands with AI‑ready product feeds and a protocol layer for autonomous shopping agents. The platform audits a brand’s catalog across the major LLM‑driven commerce assistants, identifies gaps in data completeness, eligibility flags, and policy information, and simulates the impact of fixes on AI‑driven traffic. Brands can then apply the recommended changes and push updated feeds to production through a human‑in‑the‑loop workflow, ensuring their SKUs are visible and purchasable in AI checkout experiences. The system continuously monitors AI traffic, validates catalog health, and reports lift in simulated and real conversions, helping brands retain revenue that would otherwise shift to AI platforms.
Target Audience
Primary customers are mid‑size to large e‑commerce brands in categories such as beauty, apparel, and electronics that manage 100–10,000 SKUs and rely on search‑derived traffic for revenue.
Features
- Automated audit of product catalogs for AI commerce protocols, checking item IDs, titles, descriptions, images, pricing, availability, and variant grouping
- Eligibility flag verification (search and checkout) and policy completeness checks (returns, shipping, warranties) to prevent AI rejection
- Simulation engine that predicts traffic and conversion lift from catalog improvements before deployment
- End‑to‑end change management workflow with human‑in‑the‑loop approval and automated feed publishing to AI assistant platforms
- Continuous monitoring of AI‑driven traffic and real‑time alerts for data drift or checkout failures
- Integration layer (API/SDK) that connects brand back‑ends to the Agentic Commerce Protocol, Perplexity Instant Buy, and Google Universal Commerce Protocol