All programs

Program

Experimental

AI shopping & discovery

Make products easier to understand. Test what follows.

Discuss this program
From product facts to a discovery test.
Example workflow
  1. 01 Inputs

    Set the baseline

    • Product facts
    • Discovery questions
    • Traffic & conversion
  2. 02 Preparation

    Improve and test

    • Readability checks
    • Scoped change
    • Controlled comparison
  3. 03 Review & next step

    Follow the evidence

    • Qualified visits
    • Contribution
    • Continue or stop

Help new shopping interfaces understand your products. We improve product information, assess observable visibility and test bounded changes—looking for useful visits and customers rather than mentions alone.

An experimental offer. Durable methods, commercial gains and attribution remain uncertain.

Program features

Tailored to your tools and team.

What success looks like

Agree a baseline. Measure the change.

Qualified traffic
Relevant visits, with unknown referral sources kept distinct.
Conversion
Meaningful customer actions in the tested category.
Incremental contribution
Additional value after costs and other changes.
Leading indicators
Information quality and visibility, with their limitations stated.

Common challenges

A useful place to start if these sound familiar.

  • Inconsistent product facts

    Missing or conflicting information makes products harder to understand.

  • Visibility without demand

    Mentions have not translated into useful visits or sales.

  • Unclear attribution

    Changing interfaces and incomplete referrals complicate measurement.

Start with the work
you want to improve.

Start with one category, a discovery question and a measurable baseline.

Let’s talk

We reply within one business day.