Explain the AI traffic in your analytics and win the sales it sends elsewhere.
Assistant sessions are in your analytics with nothing to credit them to; find which SKUs the answers name, and whose store gets the sale.
A referral source you did not buy is converting, and the feed you maintain for Google is what it read.
“Waterproof trail shoe, wide fit, under £120” is a sentence now, and the answer is a short list with links. AI traffic shows you those visits in your own analytics, and Shopping reads the catalogue you already keep.
Find which SKUs the answers name, and how well they describe each one.
No prompt per SKU. Praised asks the way a shopper asks and matches every product the answers name back to your catalogue. For each one you get its share of answers and how often it is described right.
A stale price or a wrong stock claim is checked against the feed you already publish for Google, and counts against described right.
Read the answer the shopper got, and the fix to try first.
Every shopping question, per assistant, as the answer came back, with your products marked in the list. Under it, the sites the assistant leaned on, and the fixes worth trying first.
Find the stage where shoppers stop hearing your name.
Every shopping prompt is classified discovery, comparison or decision, and you find where each one loses the shopper. A brand can look healthy while shoppers browse and lose every purchase.
Recover the sales the assistant sends to other shops.
When an answer names your product, Praised records which merchant it sent the shopper to, whether that merchant lists your product, and whether it was in stock. The split between your store and everyone else’s is a margin problem.
Turn every gap into work that gets done and proven.
Shopping runs beside your brand runs and its findings land in the same places: one queue, content built from your product facts, an experiment that says whether the change moved anything.
A category that returns only competitors is one item, with the prompts behind it.
It closes only when a re-check confirms the change landed.
Buying guides written only from the product facts you approved.
Graded 0–100 by the same linter that decides whether it publishes. A draft can fail.
Baseline run, your change, treatment run. One line for the board.
With “no measurable change” as a possible, and honest, result.
Track your whole range without paying per SKU.
A Shopify shop domain is read without OAuth or an app, and any feed URL works. Compare the plans →
The ones your ecommerce lead will ask.
If it isn’t here, the methodology is public, limitations included →
Get a straight answer on one product page.
Paste one product page and get a verdict before any ask: what an assistant can read from it, and what it has to guess.