Connect AI workflows to the same targeting, merchandising, and optimization intelligence that powers your storefront.
Agentic AI brings powerful automation and decision-making potential, but it operates best when it can work with the same rich context that informs your search and merchandising experiences. Product attributes, shopper behavior, ranking signals, and business priorities all play a role in shaping how results are presented yet these insights aren’t inherently available to AI workflows.
When AI can access this depth of information, it becomes far more effective at supporting product discovery, interpreting shopper intent, and aligning with the priorities search teams and merchandisers set. It can participate meaningfully in human-in-the-loop processes and reinforce the strategies that already power your storefront.
FindTuner MCP gives AI workflows structured access to the product knowledge, shopper signals, and business priorities that guide how people discover and engage with your products. Through the Model Context Protocol, AI agents can work with the same depth of information your teams use to shape meaningful interactions.
With this foundation, AI becomes better at interpreting shopper intent, identifying the products most likely to meet their needs, and supporting the strategies your search and merchandising teams put in place. It understands your catalog, your priorities, and the experiences you aim to deliver, allowing AI to complement the expertise of your teams and contribute more thoughtfully to product discovery.
Strengthen every AI workflow with the product knowledge and strategic signals that help guide better shopper experiences.
FindTuner AutoTune learns from shopper behavior, purchase patterns, and engagement signals to deliver continuously optimized results with no manual effort. FindTuner MCP carries AutoTune’s learning directly into agentic AI, allowing AI tools to act on the same behavioral insights and product signals that shape optimized results.
Shape the ideal shopper experience by elevating the products, brands, and collections that matter most to your business goals. Leverage FindTuner MCP to deliver this merchandising insight to agentic AI, helping it reinforce the strategic direction your teams set.
Capture MCP outcomes to inform decisions and deepen your understanding of how AI contributes to product discovery. See which strategies drive results and which ones need adjustment. Run A/B tests, analyze patterns, and evaluate conversion funnels. Use these insights to make decisions rooted in real behavioral data and performance metrics.