Be the brand AI engines name when a shopper asks what to buy.
Retailers, direct-to-consumer brands, marketplaces and omnichannel commerce. ZivRank measures which brands and stores AI engines recommend on your shoppers' questions, then works to get yours into the answer.
Before buying, shoppers ask AI engines for a comparison, an alternative, the best value. The answer names a few brands and a few stores. Not being there means not being on the starting list.
Built for how your buyers research
Questions by product category
“Best cordless vacuum for an apartment”, “cheaper alternative to…”: we measure comparison and choice questions, category by category.
Product facts the engines reuse
Precise specifications, use cases, warranties and reviews: structured, consistent information is what AI engines reuse to name a product.
Where to buy, not only what to buy
Engines link to stores. We track which ones are cited for your products, and whether your own site is one of them.
What your buyers ask AI engines
Examples of the questions we measure for retail and e-commerce brands. Your own list is built and validated with you before the first measurement.
Where the answers come from
Retail answers draw on media reviews and roundups, review sites, forums and communities, marketplaces and brand websites. We measure which ones the engines reuse for your categories before choosing where to publish.
Measured before and after
Every program starts with a locked baseline measurement and is re-measured with the same protocol. You keep the raw answers, so every number in your report can be checked. See a measured case study →
From baseline to re-measurement
Measure
The buying questions of your market (50 from the Core plan upward), asked 5 times on each of 5 AI engines. You see where you are named, where you are only a source, and where you are absent.
Diagnose
Who is named instead of you, on which questions, and which sources the engines reuse. Plus a technical audit of what stops AI engines from reading your site.
Produce
Assets the engines can cite, placed on the sources they already trust in retail and e-commerce. Reviewed by an expert before anything goes live.
Re-measure
The same protocol, replayed identically. A change only counts if it rises above the noise floor set before comparison.