Continuously test, learn, and optimize with AI built into every stage of experimentation, from first idea to final call.
Platform ROI, Forrester validated
Faster testing with agents
Experiments ran on Optimizely
Run better experiments faster, with AI telling you exactly what to do next. We’re here to get you growing again.
For teams that refuse to guess
Run experiments wherever your customers are. Use a visual editor for fast web testing, or go deeper with server-side control.
For teams that want bold rollouts
Learn what works before you roll out. Run safer tests, validate faster, and release knowing you've got it right.
For teams that turn wins into momentum
AI that knows your whole program recommends what to test next. So you always know where to go after the last result.
The extra headcount your team needed, ready to work from day one. Virtual Teammates are collaborative do-ers: they keep work moving, triage proactively, and know your brand from the start.
Full view of conversion insights without the GA4 login. Ask it anything.
Finds opportunities and stages personalization campaigns for you.
Plans, runs, and reports on every experiment. All of it.
Keeps execs briefed, prioritized, and one step ahead.
Launch no-code experiments in minutes, using AI to move from idea to iteration faster while keeping governance and control in place.
Run better experiments with multivariate tests, bandits, and AI that helps you reach statistical significance quickly.
Deliver fast, flicker-free experiences with the speed, control, and reliability your users expect.
Tie every experiment to business outcomes with trusted analytics and faster, confident decisions.
We’ve got a whole library of pre-built AI agents to help you create. Use as they are or create your own agent specific to your team’s content needs.
Explore all agentsBreak down silos between marketing, product, and engineering. Run experiments, ship features, and prove impact together.
When I talk about Optimizely's Agentic Experimentation to stakeholders, I can say it was instrumental in our A/B testing on subject lines and gave us really good customer insights.
During the change of monarchy, we saw a sale every 10 seconds for three weeks — 50% conversion, tenfold increase in volumes, zero downtime.
As our tests became more complex and grounded in customer insights, results improved and the program transformed from basic testing into a strategic business capability.
Connect every stage of experimentation, from testing and personalization to analytics and AI, to the apps you already use.
Agentic Experimentation is a smarter way to run experimentation programs with AI. It helps teams move faster across the full experimentation lifecycle, from generating test ideas and prioritizing opportunities to building variations, checking quality, analyzing results, and deciding what to do next.
Agentic Experimentation supports both web experimentation and feature experimentation. Web experimentation helps teams test and optimize digital experiences on the front end, while feature experimentation helps product and engineering teams test server-side changes, manage feature flags, and roll out new capabilities safely.
Yes. Optimizely is designed to work with the tools teams already use across marketing, product, engineering, analytics, and content workflows. This helps teams connect experimentation with the broader digital experience stack rather than working in silos.
Agentic Experimentation helps teams improve both speed and quality. It can surface stronger test ideas, turn insights into structured plans, help create variations faster, support QA, and recommend next steps based on results, so teams can spend less time on manual work and more time driving impact.
Both. Marketers can use Agentic Experimentation to generate ideas, build stronger test plans, understand results, and move faster from insight to action. Developers can use it to support more technical experimentation workflows, including feature experimentation, server-side tests, flags, and controlled rollouts.
Agentic Experimentation helps teams identify, launch, and learn from the tests most likely to improve customer experiences. By focusing experimentation on higher-impact opportunities, teams can optimize the journeys that influence conversion, engagement, and revenue.
Yes. Agentic Experimentation can help teams understand which experiences work best for different audiences, then use those learnings to create more relevant customer journeys. It helps teams move from broad testing to smarter, evidence-based optimization.
Yes. Agentic Experimentation can help teams identify high-potential opportunities by using behavioral signals, past experiment results, and performance data. Instead of starting every cycle with guesswork, teams can prioritize ideas based on evidence.
