How to A/B Test AI-Native Search Against Algolia Without Rebuilding Your Frontend

In a detailed guide, Ana Martinez explains how to conduct an A/B test comparing AI-native search, specifically Marqo, against Algolia without needing to rebuild the frontend. The process involves setting up a middleware layer for routing search requests, utilizing cookie-based session persistence to ensure consistent user experience, and addressing the potential contamination of query intent caused by typeahead features. The guide emphasizes the importance of focusing on key performance indicators like revenue per search session and stresses the significance of running a test for at least two weeks to gather valid data. It highlights the benefits of Marqo, which promises a minimum 3% revenue uplift, and provides examples of retailers who have experienced significant revenue increases following full migrations. The setup process is designed to be quick, typically taking under two weeks for most engineering teams, and aims to provide measurable results that can be demonstrated through a demo and tailored implementation plan.

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