Product visibility, not vanity dashboards

AI search visibility testing for e-commerce products.

Geoduck helps e-commerce teams inspect controlled AI API responses about their catalog. Prompt wording can be compared for response robustness; it does not guarantee or improve placement.

Up to 3 models

compared per check, evidence preserved

Weekly

paid monitoring on your schedule

13 months

evidence retention on Pro

Get started to run controlled, repeatable model-response comparisons.
Tell us which catalog questions and evidence views would be useful for your team.
Measurement is limited to selected API models, not consumer ChatGPT, Claude, or Gemini applications.

Geoduck preview

See what AI says first.

Live
A product visibility dashboard showing AI model responses, mention counts, and e-commerce catalog tracking.

What it validates

The evidence and reporting a controlled-response workflow should make available.

What gets measured

Controlled API-response evidence, model differences, and separately reported prompt robustness observations.

How it works

Add a catalog, write a prompt, inspect the evidence.

  1. 1Add your primary brand or product and up to three competitors.
  2. 2Write a discovery prompt and choose up to three eligible AI models.
  3. 3Geoduck runs controlled responses and preserves the evidence behind every mention.

Focus

SEO pages that explain product visibility, not generic AI hype.

The site focuses on five useful starting points: e-commerce GEO, catalog audits, Shopify demand, controlled AI recommendation questions, and product-catalog testing — each linking to a deeper resource.

Why this shape

Immediate comprehension

The first screen explains what Geoduck is, who it is for, and why a merchant should care without burying the call to action.

Useful qualification

One qualifier helps us sort real catalog demand from generic AI curiosity.

Rollout-ready

The same layout, content model, sitemap pattern, and analytics hooks can be copied into the other project sites.