Solutions · Ecommerce & retail

Get your products into the AI shopping basket.

Find which products, categories and stores AI sends shoppers to, then fix the feed, page or listing behind the biggest gap.

Accounts open from the waitlist. The website check is free, with no signup.

Decision answers send 47% of shoppers to stores that cannot sell them Kestrel: REI 36%, Amazon 24% with no Kestrel stock, Backcountry, Dick’s and Moosejaw, and kestreloutdoor.com never named

Choose

Choose the next product, not the next brand score

A brand score averages winners with products nobody names. Set each product against its category and put the next work where the gap is widest.

58 of 186 catalogue items are ever named, grouped by category from 14 of 22 rain jackets to 3 of 28 footwear items and 2 of 28 accessories, with out-of-stock items marked

Merchants

Fix the path where the purchase is decided

Comparison answers often end in a store. Find where your products drop out, and fix the listing, policy or stock before writing another page.

Shopping answers recommending a Kestrel product by stage, weekly: discovery and comparison climbed while decision has not moved since July

Catalogue

Keep catalogue facts right at the source

Answers quote your feed, pages and reviews. Check each claim against the feed, then correct the feed and product page before the retailer copy.

Claims about Kestrel items checked against the feed and the brand record: warranty, stock, sizes and specs right and wrong, beside the wrong claims by item, from the Summit Shell’s weight to a discontinued sleeping bag

The attribute that keeps a product off the list.

When shoppers ask for a need your product meets and the product rarely makes the list, find the attribute missing from the information engines read.

Each product against its category median: the Ridgeline 40L 9 points above, while the Summit Shell sits 14 below and the Trailhead boots 17 below
The Shopify product feed, 312 items fetched daily: price and availability complete, fit and width on only 41%, missing on 184 items, most of them hiking boots and rain jackets, which 12 tracked questions ask about
Ranked next moves with their impact and the questions each reaches: the OutdoorGearLab pitch, a women’s fit page for the Ridgeline and boot widths in the product feed, with checks due beside them
Kestrel products by stage, engine and market: 44% at discovery, 33% at comparison and 12% at decision, where Kestrel is sixth of six brands

1Set each product against its category and find the ones furthest below, to choose where to start.

2Compare what buyers ask about with what your product feed states, and find the missing attributes.

3Rank each fix by how many tracked questions it reaches and the effort it takes.

4Follow your products from discovery to decision, and after a feed update, check whether recommendations change at each stage.

Keep exploring.

Questions, answered.

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Brand tracking asks whether answers name you. Product tracking asks which model they pick for a need, at which stage of the purchase and in which store. A brand can be named often while its products never reach a decision answer.

Your product feed and product pages, read daily, with Google Merchant Center as a further source. Claims in answers are checked against them item by item: price, stock, sizes, specs and warranty.

It checks a public page’s readiness to be found, understood and cited. Ongoing tracking and work belong in the platform.

Start with the product furthest behind.

Compare products against their categories, follow shoppers to the store answers name, and fix the feed, page or listing behind the gap. Check a product page free, or explore product-level tracking.