Three systems that act like a CRO team. One platform.
OptimizePilot gives your team the capabilities of an experimentation specialist, a competitive intelligence analyst, and a no-code testing tool — so a small team can run a real experimentation program without growing the headcount to do it.
Know what your competitors change — before your team notices.
Most marketing teams check on their competitors when something forces them to — a board question, a sales loss, a Slack message from the CEO. Then they spend half a Friday clicking through sites and updating a spreadsheet that's stale by Monday.
Competitor Radar crawls up to 500+ competitor pages every week and tells you what changed. Pricing pages. Hero copy. New features. Removed sections. Two years of historical data so you can see how a competitor's positioning evolved, not just where it landed today.
- ▸Monday: a single email that says "3 things changed across your competitors last week. Here's which ones matter."
- ▸No more spreadsheets. No more "did anyone notice when [competitor] dropped that pricing tier?"
A ranked backlog of experiments — ready when your team is.
Hiring a CRO consultant runs $8,000–15,000/month. They sit in your analytics, look at your funnel, write hypotheses, prioritize tests, and tell you what to ship next.
Navigator AI works alongside your team the same way, continuously, against your live data. Every recommendation is scored on confidence (how likely it is to win) and impact (how much lift you should expect). It cites the data behind each call — we noticed X on your pricing page; here's the test we'd run; here's what we predict.
If you don't have a strategist, you have one now. If you do, they spend their time on the strategic work they were hired for instead of the hypothesis-generation grind.
- ▸Your test backlog is no longer "whatever someone shouted in standup."
- ▸You walk into your weekly growth meeting with a ranked list of experiments and the data behind each one.
- ▸Your CMO's quarterly board update has actual experimentation velocity numbers.
One snippet. Ship a test in 15 minutes. Statistical rigor built in.
Once your team approves a recommendation, the Flight Deck handles the implementation. No-code editor for the variants. Statistical analysis built in — Bayesian confidence, sample size calculators, time-to-significance forecasting. Real-time results so you stop a losing test on day three instead of letting it run for three weeks.
Your developers don't have to drop into every test. Your data team doesn't have to validate the math from scratch every time. Your CMO sees a live dashboard of every experiment running, the lift each one is generating, and what's queued for next week.
- ▸Tuesday morning: launch this week's two approved tests via the no-code editor (15 minutes).
- ▸Wednesday–Friday: monitor live results, kill anything obviously losing.
- ▸Following Monday: ship the winner, dismiss the loser, queue the next batch.
See what 90 recommendations against your own site looks like.
Start a free trial and connect your site. Within 48 hours, you'll have your first set of AI-generated recommendations — scored, prioritized, and ready for your team to ship.