Product visibility, not vanity dashboards
AI search visibility testing for e-commerce products.
Geoduck shows e-commerce teams how AI answer engines describe their catalog, which products appear, and which prompts improve visibility. It keeps the ask small: one catalog, one qualifier, one shared database.
1 catalog
your products, tracked by AI search
1 qualifier
to sort real catalog demand
1 database
for qualified early-access signups
Geoduck preview
See what AI says first.
What it validates
Whether AI answer engines mention, ignore, or misdescribe the products people actually buy.
What gets measured
Product mentions, model differences, prompt variants, and category-level visibility gaps.
How it works
One catalog, one qualifier, one visibility report.
- 1A merchant lands on the page and immediately sees the GEO promise.
- 2They submit a catalog question and one qualifier about their products.
- 3The signup lands in a shared MongoDB collection and the strongest categories are easy to rank.
Focus
SEO pages that explain product visibility, not generic AI hype.
The site ships with structured pages for e-commerce GEO, ChatGPT mentions, Shopify audits, AI Overviews, comparisons, and prompt experimentation, all linked back to the homepage and signup form.
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.