AI Shopping Visibility
See which products AI puts on the shelf
Track how products, brands, retailers, and sponsored placements appear in AI shopping experiences. Compare organic and paid shelf presence across ChatGPT, Google AI Mode, and Perplexity, then connect the result to your product catalog and audience cohorts.
- ChatGPT, Google AI Mode and Perplexity
- 3 engines
- Separate shelf and sponsored visibility
- Organic + paid
- Shopify, Merchant Center and CSV inputs
- Catalog-aware
查看實際效果
核心效益
AI Shelf Monitoring
Capture which products and retailers appear for tracked shopping prompts, including rank, source links, price signals, and availability when provided.
Competitive Product Visibility
Compare your products with competing brands across engines and prompts to see who earns the strongest recommendation footprint.
Catalog-Reconciled Insights
Connect Shopify, Google Merchant Center, or CSV catalogs so AI shopping mentions resolve to the products your commerce team manages.
How AI shopping monitoring works
GeoVector runs tracked commerce prompts across supported shopping experiences, extracts product and retailer placements, and normalises the results against your connected catalog. Organic and sponsored appearances remain distinct, while prompt, engine, competitor, and audience filters let teams investigate why shelf presence changes. Availability depends on the shopping responses returned by each engine for a given market and prompt.
適用對象
Monitor high-intent shopping prompts and identify products that are absent, outranked, or only visible through sponsored placements.
Compare organic shelf presence across ChatGPT, Google AI Mode, and Perplexity before a launch and track improvement after catalog and content changes.
Separate organic recommendations from sponsored visibility to understand where paid coverage supports — or masks — product discoverability gaps.