Library
What have others tested?
For teams who are building a test list or looking for ideas on a page.
- Search real experiments
- Before & after screenshots
- Brands and categories
- Patterns across the market
ABSee / Pricing
PlansLibrary shows what ecommerce brands tested; Intelligence adds what they did next and the evidence for your hypothesis. Simulation comes later. Priced per team after a short demo.
Updated October 2026 · Source: ABSee record · Methodology →
ABSee is experimentation intelligence for ecommerce: a record of 10,000+ real experiments run by 1,150+ brands, with the page before, the version tested, and whether it was kept. The plans differ in how far they take you from that record.
What have others tested?
For teams who are building a test list or looking for ideas on a page.
What's the evidence for our hypothesis?
For teams who are deciding what to test next and need to defend that choice.
Everything in Library, plus:
Has this idea earned a real test?
For teams who want to check an idea before they build it.
Timberland added a line to its mini-cart saying items in the bag are not reserved. Library shows you the test. Intelligence shows the same record with what Timberland did next, the takeaway and the principle behind it.
Before
TestedWhat changed Adds a line warning that items in the bag are not reserved.
Seen 19 May to 4 Oct 2026
Before
TestedWhat changed Adds a line warning that items in the bag are not reserved.
Seen 19 May to 4 Oct 2026
Every plan reads the same record: real experiments from public ecommerce pages. Intelligence adds outcomes, evidence and your own data on top.
| Library | IntelligenceRecommended | Simulation | |
|---|---|---|---|
| The record | Coming later Control against variant before you build, with likely behaviour differences, risks and a confidence range. | ||
| Search real experimentsExperiments run by 1,150+ brands on their public ecommerce pages. | Included | Included | |
| Before & after screenshotsThe page before and the version tested, side by side, with the dates. | Included | Included | |
| Brands and categoriesBrowse the record by brand and by category. | Included | Included | |
| Patterns across the marketSee which changes come up again and again across brands. | Included | Included | |
| Outcomes and evidence | |||
| Outcomes: shipped or rolled backWhat each brand did next with the version it tested. | Not included | Included | |
| Evidence for and againstThe experiments that support your hypothesis, and the ones that cut against it. | Not included | Included | |
| UX principles behind each patternThe principle a pattern relies on, named next to the records. | Not included | Included | |
| PrioritisationHelp deciding what to test next, and defending that choice. | Not included | Included | |
| Your own data | |||
| Your clickstream and past testsBring in your own clickstream and the tests you have already run. | Not included | Included | |
| Competitor trackingFollow what named competitors test on their pages. | Not included | Included | |
| Where it works | |||
| Claude, ChatGPT or GeminiAsk in your own assistant once ABSee is connected. | Included | Included | |
| The ABSee appSearch and read the record in the browser. | Included | Included |
Control against variant before you build, with likely behaviour differences, risks and a confidence range.
Want to look first? Connect your AI and see how ABSee works in your assistant.
Pricing is set per team after a short demo. There are three steps: a demo, a plan, then you connect.
Pricing is set per team after a short demo, because it depends on the plan and how your team will use it. No prices are published.
Yes. Connect your AI at app.absee.it/start and see how ABSee works inside Claude, ChatGPT or Gemini.
Intelligence. It adds outcomes, shipped or rolled back, plus evidence for and against a hypothesis. Library shows what was tested, with before and after screenshots.
Yes. Every plan works in Claude, ChatGPT or Gemini once ABSee is connected, as well as in the ABSee app.
A plan that is coming later: control against variant before you build, with likely behaviour differences, risks and a confidence range. It is not available yet.