GeckoCheck

For retail, e-commerce and merchandising teams

Selling the right product is not enough. Be considered as the place to buy it.

A shopper can know exactly what they want and still ask AI where to buy it. Understand how your store appears when the decision depends on stock, delivery, returns and trust, not just the product name.

See Commerce
  • ChatGPT
  • Google AI Overview
  • Gemini
  • Claude
  • Perplexity
  • Copilot
  • Google AI Mode
  • Grok
  • Meta AI
  • Mistral

The retailer comparison

Illustrative review

One product · two places to buy

Retailer A

A clear delivery promise

Stock
Listed
Delivery
Estimate by postcode
Returns
Policy linked

The offer can be evaluated

Your store

The same item. Less context.

Stock
Listed
Delivery
Arrival date unclear
Returns
Details elsewhere

A store-level gap to review

The choice of seller depends on more than the product.

Illustrative example, not live customer data.

The questions

The questions between product choice and checkout.

Retail teams need to understand why a shopper might choose another seller for the same item. These questions expose the policies and product details that shape that comparison.

Where is the best place to buy this?

Store selection depends on the whole offer, not only the shelf price.

Who has it in stock near me?

Location and availability turn a general recommendation into a practical option.

Can I return it if it does not fit?

Return windows, exclusions and costs matter before the shopper commits.

What will I pay including delivery?

Delivery charges and offer conditions can change the value comparison.

Will it arrive before I leave?

A delivery promise needs a destination, a cutoff time and clear conditions.

Is this a reliable store?

Reviews and transparent policies help shoppers evaluate an unfamiliar retailer.

The facts

Make the full retail offer easy to compare.

Product data explains the item. Store information explains why someone should buy it from you. Both need to be clear and current.

  • Price and availability
  • Delivery estimates
  • Return conditions
  • Variant specifications
  • Store locations
  • Collection options
  • Payment methods
  • Customer reviews

The offer beyond the item

Same product. A different reason to choose your store.

Work through the information a shopper needs to select a seller. A low headline price cannot answer every checkout question.

Before Friday

The delivery decision

Customer needs
A realistic arrival date for their postcode.
Evidence to expose
Cutoff time, delivery options and exceptions.

Before committing

The return decision

Customer needs
What happens if the item does not fit.
Evidence to expose
Window, return cost and excluded items.

Before travelling

The collection decision

Customer needs
Whether this branch can fulfil the order.
Evidence to expose
Collection location, readiness and opening hours.

Illustrative store-choice scenarios. Link to authoritative policies and confirm live availability at checkout.

A retail starting point

Start where the choice of seller matters most.

Focus the first review on a priority category and the promises your operations team can actually support.

  1. Pick a category and a destination

    Use a realistic buying scenario, including the product, delivery location and deadline. Compare your store with the retailers shoppers genuinely consider.

  2. Connect product and policy information

    Review product attributes alongside delivery, collection and returns. Make important conditions explicit and keep links to the authoritative policy pages easy to find.

  3. Review with merchandising and operations

    Agree which information needs updating and who owns it. Revisit the shopping questions after changes, especially when seasonal availability or policies shift.

Stock, prices and delivery promises change quickly. AI answers are not a substitute for the live information shown at checkout.

For your next retail review

Find out why AI points shoppers elsewhere.

Bring a category and the stores you compete with. Explore how your products, policies and retail offer appear in AI shopping answers.

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