About Us

About Us
The Looking Glass Group LTD. is a Toronto-based ecommerce advisory and sales management firm. $50MM+ managed, 15+ categories, 3x average client revenue growth on Amazon, Wayfair, Walmart, and beyond.

Contact Info

33 Bloor Street East, 5th Floor, Toronto, ON M4W 3H1.

(800) 676-0949

info@lookingglassgroup.co

Do you need an AI optimization tool for your Amazon listings?

Jamey Gordon, Managing Director, Looking Glass Group. Adjunct Professor, Schulich School of Business.

The short answer: not yet, and maybe never. Amazon's shopping assistant, renamed Alexa for Shopping in May 2026, names roughly five products when a shopper asks it a question. Most of what decides whether you are one of the five is data that already sits in your listing, and filling it in costs nothing.

A client asked me last week whether they needed an AI optimization tool for their Amazon listings. The quote was 1,500$ a month. My point of view was that the useful version of that work is free, and the vendors quoting the scariest AI numbers are all selling the antidote.

What changed with Amazon's shopping AI

Rufus became Alexa for Shopping in May. A shopper types or says a question, the assistant answers in plain language and it names a handful of products, roughly five. If your product is not in the five, that shopper never sees you. Classic search still drives about 80% of discovery, so nobody is dying tomorrow. The gap is real though and it grows every quarter.

The assistant does not read your listing the way a shopper does. It reads structured data: attributes, bullets, the questions it already asks and the language in your reviews. That is where the free work is.

Fill the backend attributes

Pull your Category Listing Report and look at the blank columns. Every blank attribute is unclaimed shelf space. Fill them with standard values. If the dropdown says Navy Blue, write Navy Blue, not Midnight Ocean. The machine matches on the standard term and your creative name does not help it.

Answer the questions Amazon is already asking

Open your listing the way a shopper would and read the questions the assistant displays under your product. That is Amazon telling you exactly what it wants answered about your item. Answer them, in plain language, in your bullets and your A+ content. If the question is about compatibility, say what it is compatible with. If it is about size, give the dimensions in the units the shopper uses.

Close the review gap

Read your top 50 reviews. If customers keep praising something your listing never mentions, the assistant cannot connect your product to the shopper who is asking for that thing. Write it in. Reviews are the best keyword research you have and they are already paid for.

Then decide about the tool

Do the three things above first. They take a day for a small catalogue and a week for a large one. Measure what happens to your search query performance over the following month. Then, if there is still a gap, look at tools. Most brands find the gap closed.

Go look at your own listing and find the oddest question the assistant shows. That is your first edit.

If you want to see how we assess a listing before we touch it, our ecommerce advisory sample report walks through a real, anonymized assessment. Download the sample report

Sources: Amazon newsroom via AMZFinder on the Alexa for Shopping rename (May 13, 2026), FBA Tactics on Rufus listing optimization (Aug 26, 2026), SellerApp on AI search (Aug 19, 2026), Neato on the COSMO algorithm (Aug 17, 2026). The "about five products" and "about 80% classic search" figures are directional, single-source estimates.