Use case

AI website testing that explores real behavior

A website can pass every smoke test and still fail a real user. Locodera tests the live site with a browser agent that looks for behavior the page itself promises but does not deliver.

Last updated October 31, 2026

Who this is for

Agencies, founders and teams shipping public websites and marketing sites.

The problem

  • Broken links and forms are found by customers, not QA.
  • Mobile menus, long inputs and duplicate submissions go untested.
  • Screenshot-only checkers cannot tell whether a flow actually worked.

How Locodera handles it

  1. 01

    Map the site

    Locodera crawls same-origin pages and records links, forms, buttons and errors.

  2. 02

    Try real journeys

    It signs in, submits forms, opens the mobile menu and retries actions.

  3. 03

    Verify

    Suspicious results are replayed in a clean session three times.

  4. 04

    Report

    Confirmed issues arrive with evidence and a release score.

Relevant capabilities

Autonomous exploration

A real browser maps pages, forms and flows without scripts.

Edge cases

Empty inputs, long strings, double submits, reloads and history.

3/3 verification

Only findings that reproduce every time are confirmed.

Evidence

Screenshots, video, console and network logs per attempt.

See all features →

FAQs

Does it work on marketing sites?+

Yes. It checks navigation, forms, links, console errors and response failures on same-origin pages.

Can it test a staging URL?+

Yes, if the worker can reach it. Private networks are blocked unless explicitly allowed.

Is a clean score a guarantee?+

No. Exploratory testing is probabilistic; a clean score means no confirmed issues were found in that scan.

Find the bugs your tests never looked for.

Add your app, run an exploratory scan, and get a release verdict backed by evidence.