ChatGPT
OpenAIWidely used for product discovery, advice, and comparisons.
Tracked by Qwairy in this market
AI customer journey audit
ExampleReal report generated on October 1, 2026 for Nike, with no human editing.
Run my reportWatch now: ChatGPT, Google AI Overviews, Google AI Mode, and Gemini. Biggest opportunity: Alexa for Shopping.
The buyer's question
“What are the best running shoes for marathon training and everyday runs?”
4/8
Nike is cited by 4 of 8 engines on a buyer's question
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ChatGPT
Most of your buyers
Google AI Overviews
Most of your buyers
Google AI Mode
Most of your buyers
Gemini
A significant share of your buyers
Opportunities
Alexa for Shopping
A significant share of your buyers
Meta AI
A significant share of your buyers
What a single engine does not show you
6 competitors appear on one engine only:
Engine priorities
The estimated share of your buyers who use each AI engine while choosing what you sell, from 0 to 3.
A large share of your buyers use it, with a strong signal.
Widely used for product discovery, advice, and comparisons.
Tracked by Qwairy in this market
Reaches mainstream Google searchers during high-intent research.
Tracked by Qwairy in this market
Direct U.S. shopping integration for product discovery and checkout.
Tracked by Qwairy in this market
Broad Google ecosystem reach and direct commerce integration.
Tracked by Qwairy in this market
A significant share of your buyers, at some moments or in some markets.
Major Amazon shopping audience with dedicated product research and comparison.
Tracked by Qwairy in this market
Social discovery audiences can seek outfit and product advice.
Tracked by Qwairy in this market
Significant U.S. reach through Microsoft products and Bing.
Tracked by Qwairy in this market
What the engines answer
We asked one of your buyers' questions to 11 AI engines, as buyers use them in this market. Each one recommends its own set of brands.
The buyer's question
“What are the best running shoes for marathon training and everyday runs?”
Nike is cited by 4 of 8 engines. Together they named 13 different brands. 6 brands appear on one engine only: buyers on the other engines never see them.
| Brand | ChatGPT | Google AI Mode | Gemini | Alexa for Shopping | Perplexity | Claude | Naver | Wenxin | Named by |
|---|---|---|---|---|---|---|---|---|---|
| Cites Nike | No Nike | Cites Nike | No Nike | Cites Nike | Cites Nike | No Nike | No Nike | 4/8 | |
| 1 | 1 | 3 | 1 | 4 | 1 | 2 | 7/8 | ||
| 4 | 2 | 1 | 2 | 3 | 2 | 1 | 7/8 | ||
| 3 | 2 | 4 | 1 | 3 | 3 | 3 | 7/8 | ||
| 4 | 3 | 5 | 4 | 4/8 | |||||
| 2 | 5 | 4 | 5 | 4/8 | |||||
| 2 | 6 | 2 | 3/8 | ||||||
| On | 1 | Only here1/8 | |||||||
| 3 | Only here1/8 | ||||||||
| 4 | 1/8 | ||||||||
| 4 | Only here1/8 |
First alternatives named
What the buyer saw
Searched first: “best marathon training daily running shoes 2026 Novablast 5 Ride 18 Ghost 17 Pegasus 42 1080 v15”
Most cited sources: rtings.com, prodirectsport.com, nextgait.com
First alternatives named
What the buyer saw
First alternatives named
First alternatives named
What the buyer saw
Most cited sources: runnersworld.com, marathonhandbook.com, outdoorgearlab.com
First alternatives named
What the buyer saw
Most cited sources: runnersworld.com, nike.com, irunfar.com
First alternatives named
What the buyer saw
Searched first: “best marathon training shoes 2026”
Most cited sources: csr.hdsupply.com, esquireindia.co.in, trainingplan.dev
First alternatives named
What the buyer saw
Searched first: “What are the best running shoes for marathon training and everyday runs?”
Most cited sources: blog.naver.com, on.com, weartesters.com
First alternatives named
What the buyer saw
Searched first: “适合马拉松训练和日常跑步的最佳跑鞋”
Most cited sources: baijiahao.baidu.com, zhuanlan.zhihu.com, rtings.com
Blind spots
The buyers, markets and moments other AI engines cover.
Watching only ChatGPT misses Google-native discovery through AI Overviews and AI Mode.
Watching only Google misses Amazon-intent shoppers using Alexa for Shopping.
Watching only general-purpose assistants misses social-led discovery through Meta AI.
Watching a U.S.-focused engine misses China and Korea discovery moments.
Your buyers
Your buyers' profiles and markets, as the analysis sees them.
U.S. B2C sneaker, sportswear and lifestyle shoppers
U.S. B2C runners, gym-goers, and team-sport participants
U.S. B2C style-led sneaker buyers and collectors
Features that matter
Beyond which engine, what shows up in the answer counts: products, local results, ads, sources.
Buyers need products, prices, availability and retailers during shortlist and comparison.
Paid visibility can influence discovery, but organic product relevance remains important.
Fit, comfort, styling and durability depend heavily on peer experiences and reviews.
Current prices, reviews, availability and sizing require broad, fresh research.
Store discovery matters, but most apparel research and purchasing happens online.
Iterative questions help narrow activity, fit, style, budget and preferences.
Buyer questions
One question per moment of the journey, in the language of your market.
Discover
“What are good athletic shoes for running, training, walking, or everyday wear?”
Shortlist
“Which athletic shoes fit my activity, foot shape, budget, and style preferences?”
Compare
“How do these athletic shoes differ in comfort, durability, fit, performance, and price?”
Validate
“Are these athletic shoes worth buying based on reviews, sizing, return policy, and current price?”
Method
This is an estimate, not a measure of actual usage: web analytics only count the visits AI answers send, not the questions buyers ask. Use it to choose the engines to watch; Qwairy's monitoring then measures your visibility on them, prompt by prompt.
Qwairy tracks your visibility on the AI engines of this report, prompt after prompt, week after week.
The free audit measures if ChatGPT, Gemini and Perplexity cite your brand.