Acquia
The premier open digital experience platform for scaling enterprise Drupal and AI-driven customer journeys.
The first AI-accelerated Operating System for Marketers and Product Teams.
Optimizely AI, centered around its proprietary 'Opal' engine, represents the 2026 gold standard for enterprise-grade digital experience management. Unlike siloed AI tools, Opal is woven into the entire DXP lifecycle—from content ideation and automated workflows to real-time experimentation and commerce. Its technical architecture leverages a multi-model approach, integrating LLMs for content generation with specialized machine learning models for predictive analytics and visitor behavior forecasting. In the 2026 market, Optimizely differentiates itself by offering 'autonomous experimentation,' where AI doesn't just suggest variations but proactively identifies underperforming segments and deploys optimized assets via Multi-Armed Bandit (MAB) algorithms. The platform excels in composability, allowing technical teams to hook into its AI capabilities via headless APIs while providing marketers a no-code interface for complex multivariate testing. It effectively bridges the gap between data science and marketing execution, ensuring that AI-driven decisions are backed by rigorous statistical confidence via its patented Stats Engine.
A cross-platform LLM-based assistant that suggests copy, imagery, and experiment structures based on historical performance data.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An AI traffic allocation algorithm that shifts traffic to the winning variation in real-time during an experiment.
Uses machine learning to identify groups of users likely to churn or purchase without manual rule creation.
Dynamically re-orders web elements based on individual user interaction sequences using real-time ML.
AI-powered search that understands user intent rather than just keywords, integrated directly into the CMS.
Proprietary statistical model that allows for 'anytime' decision making without sacrificing scientific rigor.
Automatically tags and categorizes large asset libraries using computer vision and NLP.
Marketing teams take weeks to test new headlines and hero images manually.
Registry Updated:2/7/2026
System pushes winner to 100% traffic after statistical significance.
Manual 'related product' lists are static and don't account for real-time stock or user intent.
Identifying at-risk users before they leave is manually intensive.