Run A/B/C or A/B/n experiments when one variant is not enough. Compare multiple ranking, relevance, personalization, or merchandising strategies in the same traffic window to move faster, reduce guesswork, and identify the strongest path forward.

AI Ranking helps turn customer behavior into better result ordering. A/B Testing shows teams where it creates the most impact, which signals drive the strongest outcomes, and how to apply automation with confidence across search, browse, and discovery experiences.

Track the outcomes that show whether a change is working, including click-through rate, conversion rate, add-to-cart rate, purchase rate, revenue, no-result count, and average click position. Use confidence intervals, confidence ratings, and trends over time to understand whether a result is reliable enough to act on.

When the data identifies a leading variant, easily adopt the new configuration.