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Start a pilot and see High Velocity Experimentation on your pages, with review controls your team already expects.
Optimizely and pagent
Optimizely is a mature digital experience platform for experimentation and content. pagent defines the hypotheses and builds the variations itself, so the program gains speed without waiting on briefs, assets, or a sprint. It runs beside Optimizely, or on its own.
Optimizely is often the right choice when experimentation sits inside a broader digital experience and content stack.
Optimizely runs the program well once an experiment is defined. The delay sits in the chain before and after: a developer for anything coded, then QA, preview and approval between ready and live. pagent builds the coded variations itself and checks its own work, so CRO can launch without waiting on a sprint.
pagent takes an experiment from idea to live in days, not a sprint or a quarter. Launch capacity stops being the limit on your backlog.
pagent reads the page and the data behind it. Each hypothesis is specific to that page, backed by that data, and ready to run: the kind a senior CRO strategist would write.
pagent builds variations that follow your design system. 4 out of 5 are shippable on the first try, run on desktop and mobile without flicker, and look like your live site because they are real code on your live site.
pagent builds coded variations itself and puts them live on the site. CRO can launch without a developer and without a deploy.
pagent checks its own work and allocates the traffic. The whole team can review and sign off, but nothing waits on a handoff between CRO, design and engineering.
pagent covers the pages, segments and campaigns that never reach the roadmap. The traffic you already pay for runs inside an experiment.
pagent runs every personalization as a real experiment: against a control, on a primary metric, to the statistical standard you already use, whether Bayesian, frequentist or sequential. You see a winner against control, not a guess.
Both matter. Optimizely excels when you already know the experiment you want to run. pagent covers High Velocity Experimentation where idea and variant production are the constraint.
| Dimension | Optimizely | pagent |
|---|---|---|
| Experiment velocity | Fast once the experiment is fully specified | Idea to live in days, specification included |
| Hypothesis quality | Program-led ideation and research cycles | Specific to the page, ready to run |
| Variation quality | Depends on content, design and engineering capacity | Real code on the live site, following your design system, no flicker |
| Implementation capacity | Feature experimentation and server-side tests need engineering and a deploy | Builds coded variations itself, no deploy to wait for |
| Team coordination | Deep governance across marketing and product orgs | Checks its own work, allocates the traffic; the team reviews without the loop stalling |
| Experiment coverage | Proven for large, centrally managed programs | Also covers the long tail a central roadmap cannot reach |
| Validated personalization | Experience targeting across the stack | Runs against a control, on a primary metric |
Keep Optimizely for the strategic tests your program already prioritizes. Add pagent where velocity is missing: more hypotheses, more on-brand variations, more coverage of pages that never make the roadmap.
Yes. pagent ships with analytics, A/B testing, and hypothesis management. You do not need Optimizely, or any other testing platform.
No. Optimizely remains a strong platform for enterprise experimentation programs. pagent is complementary: it raises throughput of shippable hypotheses and variants where team capacity is the constraint.
When Optimizely already anchors governance for major tests, and you still need a velocity layer for long-tail pages, content variants, and continuous personalization.
Yes. pagent is fully standalone. Many teams start there, then later connect an existing testing layer such as Kameleoon if that becomes the preferred runtime.
Platform AI features draft ideas and variations inside the editor; the draft is your team's starting point. pagent delivers the finished experiment: it writes the code to your design system, checks its own work, starts the test, and reads the result. 4 out of 5 variations are launch-ready as delivered.
Start a pilot and see High Velocity Experimentation on your pages, with review controls your team already expects.