EcommerceTypical: 20–50 peopleIllustrative scenario
A retailer finds out which specs and prices engines repeat about its bestsellers, and where they come from.
An online gear retailer. These are illustrative scenarios built from typical use cases — not customer testimonials. Real customer stories will appear here as customers approve them.
Example figures — invented to illustrate the workflow, not results from a real account.
40
Example: answers read by a person
2
Example: listing sites carrying stale specs
The challenge
Shoppers ask assistants for “the best lightweight tent for two”. Some answers repeat out-of-date weights and prices taken from third-party listings.
What they did
- Writes shopping-style prompts for its main categories and tracks them on two engines.
- Opens the answers that mention its products and writes down the claims that are wrong. Citeroot does not fact-check against a product feed; a person reads them.
- Uses Source Map to see which listing and review sites carry the stale numbers, fixes its own pages first, then contacts those sites.
What this shows
Shopping-style prompts work like any other prompt. Product-feed checking is planned (Shelf) but does not exist yet.
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