Use case · E-commerce Brands
Shoppers ask AI what to buy. Be the brand it puts forward.
Product discovery is moving into the answer. "What's the best [product] under $X?" returns a couple of brands, not a grid of results. We make sure yours is one of them.
EB
01 · The queries
What your buyers actually ask AI.
Live, high-intent prompts in your category — the kind a buyer runs minutes before they decide who to contact. We map 80+ of them per engagement and re-run the set every week.
- 01“best [product category] under $100”
- 02“is [your brand] worth it — honest reviews?”
- 03“[your brand] vs [competitor]”
- 04“most sustainable [product] brands”
- 05“best [product] for [specific use case]”
02 · The sources
Where AI looks for e-commerce brands.
Every industry has its own citation landscape. These are the sources engines reach for when composing an answer in your category — and where we do the work.
- 01
Reddit, review sites, roundups
The web-index layer pulls heavily from candid product discussion and editorial best-of lists.
- 02
Marketplace + verified reviews
Rating volume and sentiment across the platforms engines read.
- 03
Product + Offer + Review schema
Structured pricing, attributes, and ratings engines can surface directly.
03 · What we do
Built for e-commerce brands.
We map the buying and comparison queries in your category, earn your products into the reviews and roundups engines cite, and structure your product data so AI describes your attributes, pricing, and reputation accurately.
Intent
queries are where AI shopping converts.
5
engines monitored across product and brand queries.
Weekly
re-runs as best-of lists and sentiment shift.