GeniePick logo GeniePick
Product in active development • Beta access coming soon

Smarter Product Decisions. Built on Structured Intelligence.

GeniePick is building a decision-intelligence platform that helps people compare products with clarity — using structured feature mapping, practical evaluation signals, and straightforward decision guidance.

Explore GeniePick MVP Demo – Password Required

Cross-market availability and options across UK-based sellers (Amazon, Argos, Currys, John Lewis, M&S, Tesco, Temu, eBay, and more). In the future, GeniePick will expand beyond products into selected services as well.

How GeniePick guides your decision
MVP screen 1: user input capture
MVP screen 2: results with three choices
MVP screen 3: final choice and where to buy
Preview only — full demo access is available on request.

What is GeniePick?

GeniePick is a product discovery and decision-support platform designed to reduce confusion when choosing everyday products. The goal is to help users quickly understand what matters, compare options consistently, and make confident decisions.

  • ✓
    Structured comparisons
    Products presented in a consistent, feature-based format.
  • ✓
    Cross-market availability
    Compare availability and options across UK seller channels.
  • ✓
    Clear explanations
    Designed to show the “why” behind guidance, not just a verdict.

How it works

A practical approach to turning product complexity into clarity:

  • 1
    Feature mapping
    Important attributes organised into comparable structures.
  • 2
    Cross-market check
    Availability and options across multiple UK seller channels.
  • 3
    Decision guidance
    Clear outcomes supported by explanations.

How GeniePick helps users in the AI era

AI is changing how people discover products — but it can also create noise, overwhelm, and uncertainty. GeniePick is being built to help users stay in control with structured comparisons and clear explanations.

1) Reducing “choice overload”

Why endless options make decisions harder — and how structured comparison helps.

2) Making comparisons consistent

Turning messy specs into comparable attributes you can trust.

3) Explaining decisions clearly

AI should explain “why”, not just output a recommendation.

4) Helping users avoid risky buys

How signals can highlight trade-offs before you spend money.

5) Supporting different user needs

Budget vs performance vs convenience — different intents, different guidance.

6) Building trust through transparency

Clear labelling, explainable guidance, and user-first design.

Contact

For business enquiries and partnership discussions: contact@geniepick.com

Location: London, United Kingdom