GeckoCheck

For e-commerce, merchandising and product teams

Your product fits the need. Can AI see the fit?

Shoppers describe a budget, a use case and a few non-negotiables. See how your products appear in AI recommendations, identify the attributes your pages leave unclear, and understand the competing products and paid placements around the answer.

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

Product information check

City Fold stroller
Folded dimensions
Missing
Product weight
Found
Airline policy reference
Missing
Price and availability
Found
Illustrative example, not live customer data.

What you can do

Make the buying decision easier to answer.

Focus on product-level evidence: what is recommended, how it is described and whether the information supports the shopper’s actual requirements.

Track recommendations by shopping need

Look beyond a search for your product name. Follow the questions shoppers ask about fit, compatibility, price and use case, then see which products appear.

Find the missing product facts

Review specifications, variants and descriptions for information a buyer needs to compare. Replace vague claims with precise, approved attributes where the product supports them.

Understand the alternatives in the answer

Compare the products recommended alongside yours and the reasons given for each. Identify where your pages leave a genuine differentiator difficult to find.

Keep paid and organic visibility distinct

Review observed ad placements alongside product recommendations. Understand the surrounding competitive activity without treating a paid placement as an organic endorsement.

Keep exploring: Your product page was built for humans. AI agents can't read it.

Translate a buying constraint

“Travel-friendly” is a claim. Dimensions are evidence.

A shopper choosing a carry-on bag needs facts that can be compared, not another adjective in the description.

01

Buying requirement

Cabin fit

Too vague to evaluate

Cabin-ready design

Useful product evidence

External dimensions including wheels and handles.

02

Buying requirement

Weight allowance

Too vague to evaluate

Lightweight construction

Useful product evidence

Empty weight and usable capacity.

03

Buying requirement

Practical access

Too vague to evaluate

Convenient storage

Useful product evidence

Laptop compartment dimensions and opening type.

Illustrative attribute review. Airline limits vary by carrier and fare; product dimensions do not establish universal cabin acceptance.

Start with a priority category

A manageable path from catalog gap to clearer discovery.

You do not need to rewrite your entire catalog at once. Begin with products that matter commercially and questions their specifications can answer.

  1. Choose a product and a buying scenario

    Define the shopper’s constraints, such as size, budget or compatibility. Compare how your product and credible alternatives appear in those answers.

  2. Resolve the information gaps

    Make product attributes, variants and policy references explicit. Check that important details agree across the product page and the information your team distributes.

  3. Revisit recommendations and placements

    Track the same buying scenarios after updates. Review recommendation patterns separately from paid placements and your own conversion reporting.

Readable product information supports discovery, but does not guarantee a recommendation, ad placement or sale. Shopping experiences vary by model and market.

Built on the platform

Product readiness meets shopping visibility.

Understand the product information available to AI and the paid activity surrounding shopping answers.

Put a product in context

See your catalog through a shopper’s question.

Bring a priority product category. Explore the recommendations, product information gaps and competitive activity that deserve your team’s attention.

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