An Alexa for Shopping playbook for CPG brands

For most consumer brands, Amazon is the biggest store they sell in and the one they control least. Alexa for Shopping makes that tension sharper. When a shopper types "which of these protein bars has the least sugar?" into the Amazon search bar, an assistant now writes the answer, and it builds that answer from your listing, your reviews and whatever else it can find about you.

Tip 4 covers the basics of getting a listing ready. This playbook goes further: what the assistant actually does, where its information comes from, how to find the questions it's being asked about your category, and a four-week plan to fix what you find.

Why this deserves a month of your time

Amazon has reported a fast climb for its assistant, first under the Rufus name and then as Alexa for Shopping. The figures below come from Amazon unless noted. They measure different things over different periods, so read them as a timeline rather than a single trend line.

Period	Reported figure	Source
Full year 2025 (as Rufus)	Used by 300M+ customers; nearly $12B in incremental annualized sales	Amazon Q4 2025 results
May 2026	Rufus and Alexa+ combined into Alexa for Shopping, available to all US customers	Amazon
12 months to Q2 2026	350M+ customers used Alexa for Shopping	Amazon Q2 2026
Q2 2026	Active users nearly doubled; interactions up more than 5x year over year	Amazon Q2 2026
Q2 2026	US users spend 40% more per order than non-users	Retail Dive, citing Andy Jassy

Show the data

Period	Customers (millions, at least)
Calendar 2025 (as Rufus)	300M
12 months to Q2 2026	350M

Source: Amazon Q4 2025 results and Q2 2026 earnings remarks. Both figures are reported as minimums (300 million+ and 350 million+). The windows overlap, so this is not a growth rate.

An outside data point backs up the commercial side. eMarketer cites Sensor Tower data, reported by Adweek, finding that 44% of Alexa for Shopping app sessions ended in a sale.

One caveat on the 40% figure: shoppers who choose to use an assistant may simply be bigger spenders to begin with. Amazon hasn't said the assistant causes the larger orders. Either way, these are the customers you most want to describe your product accurately to.

For food and household brands specifically, Amazon also said in July that it's the second-largest grocer in the US, that monthly active customers buying perishables grew more than 50% since the start of 2026, and that fresh groceries make up six of the top 20 best sellers on Amazon.com.

What the assistant does now

Amazon's launch announcement lists the features. Several matter more to a CPG brand than the rest.

• Questions in the main search bar. The search bar now recognizes questions and answers them. A shopper doesn't have to open a chat to get an AI answer.
• Side-by-side comparisons. Shoppers can select products from search results and get a comparison of features, prices and reviews.
• AI overviews at the top of search results and on product pages, summarizing a category or a product.
• Price history for up to a year on hundreds of millions of products.
• Scheduled actions, such as "add healthy kids' snacks to my cart each month" or "add this sunscreen to my cart if the price drops to $10."
• Personal context. Shoppers can tell it about family members, pets, interests and dietary needs, and it uses that in recommendations.
• Shop Direct and Buy for Me, which bring in products from other websites and, for eligible items, buy them for the shopper.

Three of these deserve attention from food, beverage and household brands. Dietary needs mean the assistant is filtering on attributes like gluten free, vegan or nut free. Scheduled actions put replenishment in the assistant's hands, so whichever product it picks for "my regular dog treats" can stick for months. And comparisons put your listing next to a competitor's with the gaps visible.

Where its answers come from

Amazon has said its assistant was trained on "Amazon's extensive product catalog, customer reviews, community Q&As, and information from across the web." Translated into things a brand controls:

Shopper question	Where the answer likely comes from	What to fix
"Is this gluten free?"	Listing attributes, bullets, reviews	Fill the dietary attributes; state it in a bullet; name the certifier if certified
"How much protein per serving?"	Bullets, product description, A+ content, web	Put the number in a bullet in words, not only in a nutrition panel image
"Is this safe for a kid with a nut allergy?"	Allergen attributes, bullets, reviews, your site	One clear allergen statement, the same on Amazon and your site
"Which is better, this or [competitor]?"	Both listings, reviews, comparison content on the web	Make your differences explicit and factual; earn reviews that mention them
"Does it taste chalky?"	Customer reviews	Ask buyers to review specific qualities (tip 10)
"How long does a bag last?"	Size and serving attributes, reviews	Fill servings per container; state usage in a bullet ("about 30 days at one scoop a day")
"What's a good snack for a road trip?"	Category content, reviews, web guides	Bullets and A+ content that describe uses, not just features

The left column is the important part. These are the kinds of questions Amazon shows in its own examples, from "What's a good skincare routine for men?" to "Compare Kindles." Your category has its own version, and finding it is the first step.

Every blank attribute is a question the assistant has to answer from somewhere else, or not answer at all.

The four-week playbook

Week 1: collect the questions

1. Ask the assistant about your category. In the Amazon app, ask 15 to 20 questions a real customer would ask about your product type. Include your brand name in some and not in others. Save the answers.
2. Mine your reviews and Q&As. Read the last 100 reviews and any customer questions on your top three products. List every question a shopper asked or seemed to have.
3. Ask customer service. The questions your support inbox gets are the same ones shoppers type into the search bar.

You should end the week with a list of 20 to 40 real questions, ranked by how often they come up.

Week 2: answer them in the listing

1. Export your listing attributes from Seller Central or Vendor Central and mark every blank field. For food and household products, dietary, allergen, size, servings and material attributes are the usual gaps.
2. Rewrite bullets as answers. Each bullet should answer one of your top questions with a fact: "9 g protein and 2 g sugar per bar." Lead with the fact, not an adjective.
3. Use A+ content for the longer answers, such as how to use the product, how it compares with the obvious alternative, or who it's not for. Keep key facts in text, not only inside images.

Week 3: line up your other sources

The assistant also reads "information from across the web," which includes your own site and other retailers.

1. Compare your Amazon listing with your website for the facts in your question list: ingredients, allergens, protein, size, price range, certifications. Fix every mismatch. Our grocery guide covers making those facts readable on your own site.
2. Check your top other retailers (Walmart, Target, Instacart) for the same facts (tip 30).
3. Look for stale sources. If a reformulation changed a number, search for the old number. Reseller listings and old press coverage are common culprits (tip 25).

Week 4: test, then make it a habit

1. Re-ask your Week 1 questions and compare the answers. Expect some to change and some not to. Assistants don't update overnight.
2. Record what you see: whether your product appeared, whether the facts were right, and which competitors showed up. Treat one month as a baseline, not a verdict. Answers vary from run to run, so look at the share of answers across many questions rather than any single response (our piece on why "rank" misleads explains the math).
3. Set a monthly check. Thirty minutes a month with the same question list is enough to spot problems early.

Two things to watch

Replenishment is becoming automatic. Scheduled actions and Auto-Buy mean a shopper can hand repeat purchases to the assistant. Once it has picked a product for "my regular protein bars," switching costs go up for everyone else. For a brand with a subscribe-and-save business, it's worth keeping a close eye on how the assistant handles reorders in your category. Some monitoring tools, XENA Intelligence's SearchPanel among them, already check Amazon's assistant alongside ChatGPT and Perplexity, so this can be watched on a schedule rather than by hand.

Amazon's walls are going up as others come down. Alexa for Shopping can shop other websites through Shop Direct and Buy for Me. At the same time, Amazon has blocked some outside AI agents from its own store, while Walmart has opened its catalog to assistants like ChatGPT and Gemini. Where AI agents can and can't buy is changing quickly, and tip 33 covers how to think about your own store's policy.

The short version: Alexa for Shopping is now the first thing many shoppers talk to in the biggest store most CPG brands sell in. It answers from what you've written and what your customers have written about you. A month of careful work on the questions it's asked is likely to do more than another round of keyword tweaks.