Four questions. Different tools answer different ones.

Most teams need more than one of these. This is where each one stops.

Scroll the table sideways to compare.

Question	Cotesty	E2E test tools (QA Wolf, Playwright)	Security scanners (Vibe App Scanner)	User research panels (Maze, UserTesting)	AI-only research (Synthetic Users)
Does it break?	Yes. Agents run every flow found on the live URL and report dead ends with the step and timestamp.	Yes, and this is what they are best at. Runs in CI on every commit, fails the build.	No. Looks at code and configuration, not at whether the flow completes.	No. Testers report what they experienced, not systematic flow coverage.	No. Nothing runs against your product.
Can this age group actually use it?	Yes. This is the product. Agents matched to an age group, confirmed by human testers of that age.	No. A passing test says the button worked, not that a person found it.	No. Out of scope.	Partly. You get real people, but you choose and recruit the age match yourself, per seat, with a sales conversation.	No. Simulated opinions with no real user and no live product. The vendor describes itself as a co-pilot, not a replacement.
Is it leaking data?	Yes, for exposure visible from the outside during normal use. Not a penetration test. See the limits section.	No.	Yes, and cheaply. This is the one question they answer.	No.	No.
Will it convert?	Partly. We show where people stopped and what they said at that moment. We do not tell you if they wanted it.	No.	No.	Partly. Good at reactions and preference. Priced per seat and usually annual.	No. Prediction without a user.

Your AI wrote the code. Nobody checked if anyone can use it.

Cotesty runs your app through AI personas matched to your real users' age group, then real human testers of that age, and hands you one report of everything broken.

Every statistic on this page links to its primary source. That is the same standard we hold our reports to.