Products & shopping

Find which products AI recommends instead of yours.

Track which of your products AI recommends for each buying need, the models picked instead and the stores answers send shoppers to.

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What AI puts in the basket for the best rain jacket under $200: Alpenway’s Storm Pro first, Kestrel’s Summit Shell second, with squares showing which engines placed each product

Follow a product to the decision.

A product can be named while shoppers learn and drop away when they decide. Find the stage where you lose them, and why.

Kestrel products by stage, engine and market: 44% at discovery, 33% at comparison and 12% at decision
Summit Shell weight: answers state 268 g while the feed says 280 g, with the three passages and the review page they cite
Claims about Kestrel items checked against the feed: warranty, stock, sizes and specs, right in green and wrong in red
Worth fixing: an Amazon listing no Kestrel seller runs, missing shipping and returns policy, and a discontinued sleeping bag still quoted

1Follow how often your products appear at discovery, comparison and decision.

2Check the facts answers quote against your feed, and trace each wrong figure to the page that states the figure.

3Find the warranty, stock and size claims answers get wrong across your catalogue.

4Fix what blocks the sale first, such as answers that send shoppers to a listing that is out of stock.

Kestrel places in 19 of 26 buying questions and in none at the tent decision: each question with its stage, Kestrel’s best slot, the engines that placed it and the product picked first

Know where each product stands

A known brand can still have products nobody recommends. Track each buying question by product: which model appears, its position and the product picked first.

Decision answers send 47% of shoppers to stores that cannot sell them Kestrel: REI, Amazon, Backcountry, Dick’s and Moosejaw, with the buy path at each

Follow the shopper to the store

Answers name stores as well as products. Find the decision answers that send shoppers to stores that can’t sell your products.

Explore the ecommerce workflow

Keep exploring.

Draft v3 graded against 14 cited pages: the answer arrives at word 140, where cited pages answer in the first 60 Content & site optimizationDrafts and pages graded against the pages engines cite.Explore The most cited sources: answers citing OutdoorGearLab name Alpenway 64% of the time and Kestrel 23% Sources & outreachThe pages engines cite, and the work to earn a place on them.Explore AI sessions grew every month since July, weekly by source, ChatGPT 60% AI traffic & conversionsVisits that arrive from AI, and what they do next.Explore

Questions, answered.

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Brand tracking asks whether AI names you. Product tracking asks which of your products AI recommends for a specific need, which competing models are picked instead and which stores the answers send the shopper to.

Connect the feed to check answers against your own specs, prices and stock, and to find the items AI never names. Without the feed, you can still track products by name.

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

Pick the product gap worth fixing first.

Track each product against its buying needs, find what loses the decision and fix the information or store path behind the loss.

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