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Where ChatGPT sends Canadian shoppers: 750 answers, 25 products, two words that change everything

By
Published
November 8, 2026
Data collected
October 24, 2026

We asked ChatGPT

"Where should I buy [product] online?" 375 times and the same question with "in Canada" added 375 times, across 25 products and three model versions. Without the two words, 366 of 375 answers assumed a U.S. shopper and none assumed Canada. With them, every answer switched to Canadian storefronts, Amazon dropped from the most-named seller to second, and about 72% of the sellers named were ones that never appeared in the U.S. answers. The study did not verify the ownership of any seller named.

98%
of answers assumed a U.S. shopper when the prompt gave no country (366 of 375)
0
answers assumed Canada without being told
494 vs 353
distinct sellers named with vs without 'in Canada'
6 vs 0
answers that recommended Amazon first, without vs with 'in Canada'

What we expected

The assumption going in was that ChatGPT sends shoppers to Amazon by default, and that Canadian retailers appear only when a shopper names them. The study was set up to count where ChatGPT actually sends a shopper who gives no location, and how much changes when the shopper adds the words "in Canada".

The product list was locked at 11:05 ET on 24 October 2026, before any answers were collected.

How we measured it

  • Prompts: "Where should I buy [product] online?" and "Where should I buy [product] online in Canada?" with no other wording, no system prompt, no location setting.
  • Products (25): mattress, office chair, bed sheets, laptop, TV, headphones, air fryer, winter coat, running shoes, jeans, prescription glasses, skincare, vitamins, contact lenses, coffee beans, groceries, dog food, bike, books, board games, power drill, houseplants, kids' toys, luggage, flowers. The frame is Statistics Canada's retail trade subsector list (NAICS 44-45, excluding gasoline and motor vehicle dealers) with two to four everyday products per subsector; the specific products were chosen by the analyst before any collection.
  • Tool: DataforSEO AI Optimization, LLM Responses endpoint, llm_type chat_gpt, web search on, default temperature. Models requested: gpt-6.1-sol, gpt-5.6-sol, gpt-5.5 (resolved by the API to gpt-5.5-2026-04-23).
  • Runs: 5 per product per prompt per model, 750 in total, all collected 24 October 2026.
  • Extraction: every answer's text was read and each seller (retailer, marketplace, or brand selling direct) was coded by hand with a canonical name and a type. The country the answer assumed was coded from the retailers named, currency, or an explicit statement, and left as "none" where no signal was present. Review sites named in the body text were recorded separately from citation links.
  • Citations: taken from the URL annotations the API returns with each answer, grouped by domain after removing "www." and tracking parameters. A site counts once per answer however many times that answer cites it.

Where the data came from

Every figure in this study, with its source

Figure Source Pulled Sample Raw files
Assumed shopper country (366 of 375 U.S.) Hand-coded from each answer's text 2026-10-24 750 answers extracted/*.json
Sellers named, first picks, per-product counts Hand-coded extraction of each answer's text 2026-10-24 750 answers extracted/*.json
Cited sources (consumerreports.org 45, costco.ca 70, etc.) URL annotations returned by the DataforSEO ChatGPT endpoint 2026-10-24 750 answers answers.jsonl
Model behaviour (clarifying questions) Computed from the flattened answer set 2026-10-24 750 answers answers.jsonl
Retail subsector frame Statistics Canada, NAICS 44-45 retail trade subsectors 2026-10-24 — Source 1

All 750 raw API responses, the flattened answer set, the coded extractions and the scripts are held in the project archive and can be supplied to a reviewer on request.

What happened

Without "in Canada", ChatGPT assumed the shopper was in the United States

Of 375 answers to the plain question, 366 (98%) assumed a U.S. shopper, judged by the retailers named, the currency, or an outright statement; 68 said so in as many words. None assumed Canada. Nine gave no country signal. Nothing in the question or the study's setup told ChatGPT where the shopper was.

Bar chart. Without the words in Canada, ChatGPT assumed a U.S. shopper in 366 of 375 answers, gave no country signal in 9, and assumed Canada in 0. With in Canada, every answer named Canadian storefronts.
Who ChatGPT assumed the shopper was. Source: this study.

Adding "in Canada" changed the store list almost completely

The Canada answers named 494 different sellers; the plain answers named 353. About 28% of the Canadian sellers also appeared in the plain answers. In 23 of 25 products the most-named seller was different under the two prompts. Amazon in any form was named in 147 plain answers (39%) and 88 Canada answers (23%); it was the first recommendation in 6 plain answers and in no Canada answer. Target appeared in 87 plain answers and no Canada answer; Canadian Tire in 31 Canada answers and no plain answer.

Two bar charts of the sellers ChatGPT named most, out of 375 answers per question. Without in Canada: Amazon 137, Costco 122, Walmart 98, Target 87, Best Buy 54, Nordstrom 43, REI 38, eBay 24. With in Canada: Costco.ca 82, Amazon.ca 79, Best Buy Canada 62, Simons 36, Well.ca 34, Canadian Tire 31, IKEA Canada 30, Clearly 29.
Answers naming each seller, out of 375 per prompt; top eight shown. DataforSEO ChatGPT API, collected 24 October 2026.

The same data as the chart above, as a table

The same data as the chart above, as a table
Without "in Canada" Answers (of 375) With "in Canada" Answers (of 375)
Amazon 137 Costco.ca 82
Costco 122 Amazon.ca 79
Walmart 98 Best Buy Canada 62
Target 87 Simons 36
Best Buy 54 Well.ca 34
Nordstrom 43 Canadian Tire 31
REI 38 IKEA Canada 30
eBay 24 Clearly 29

Canadian specialists were named in every answer for their product

Douglas (mattress), Headphones.ca, Plantsome (houseplants), Board Game Bliss, Indigo (books), Running Room, Pet Valu (dog food) and Clearly (contact lenses) were each named in 15 of 15 Canada answers. Mastermind Toys was named in 14 of 15, where the plain answers named Target 15 times. Seller types in the Canada answers: 46% specialty retailers, 26% brands selling direct, 19% big-box, 6% marketplaces. In the plain answers: 33% brands direct, 31% specialty, 22% big-box, 10% marketplaces.

ChatGPT's most common first pick without and with in Canada. Kids' toys: Target to Mastermind Toys. Dog food: Chewy to Pet Valu. Books: Bookshop.org to Indigo. Mattress: Saatva to Douglas. Running shoes: Running Warehouse to Running Room. Houseplants: The Sill to Plantsome.
Seller recommended first most often, out of 15 answers per product and question. Source: this study.
Stacked bars of store types named. With in Canada: specialty 46%, brands selling direct 26%, big-box 19%, marketplaces 6%. Without: specialty 31%, brands direct 33%, big-box 22%, marketplaces 10%.
Share of sellers named, by type. Source: this study.

Where ChatGPT sends shoppers, by product. Each cell is the seller named in the most answers (out of 15) and the seller recommended first most often.

Product With "in Canada": most-named First pick Without: most-named First pick
Air fryer Canadian Tire (15) Costco.ca (7) Costco (14) Costco (6)
Bed sheets Silk & Snow (15) Simons (7) Target (15) Target (8)
Bike Canyon Canada (10) MEC (5) BikesOnline (12) REI (8)
Board games Board Game Bliss (15) Board Game Bliss (15) Game Nerdz (15) Game Nerdz (15)
Books Indigo (15) Indigo (11) Bookshop.org (15) Bookshop.org (15)
Coffee beans Stillwater Coffee Club (12) Eight Ounce Coffee (3) Counter Culture (14) Trade Coffee (7)
Contact lenses Clearly (15) Clearly (14) Costco (15) Costco (11)
Dog food Pet Valu (15) Pet Valu (8) Chewy (15) Chewy (15)
Flowers Canada Flowers (13) Canada Flowers (7) UrbanStems (15) UrbanStems (10)
Prescription glasses KITS (15) Clearly (8) Warby Parker (15) Warby Parker (10)
Groceries Instacart (15) Walmart (8) Walmart (15) Walmart (15)
Headphones Headphones.ca (15) Headphones.ca (9) Headphones.com (15) Best Buy (9)
Jeans Levi's Canada (14) Levi's Canada (12) Levi's (15) Levi's (10)
Kids' toys Mastermind Toys (14) Mastermind Toys (13) Target (15) Target (15)
Laptop Best Buy Canada (15) Best Buy Canada (8) Best Buy (15) Best Buy (9)
Luggage Costco.ca (14) Samsonite Canada (4) Away (15) Travelpro (9)
Mattress Douglas (15) Douglas (13) Saatva (15) Saatva (7)
Office chair Staples Canada (15) Staples Canada (11) Herman Miller (15) Steelcase (13)
Houseplants Plantsome (15) Plantsome (14) The Sill (15) The Sill (5)
Power drill Canadian Tire (15) Home Depot Canada (12) Acme Tools (15) Home Depot (12)
Running shoes Running Room (15) Running Room (8) Running Warehouse (15) Running Warehouse (14)
Skincare Sephora (15) Shoppers Drug Mart (7) Sephora (15) Sephora (5)
TV Costco.ca (15) Costco.ca (15) Costco (14) Costco (12)
Vitamins Well.ca (15) Well.ca (11) Costco (15) iHerb (8)
Winter coat Altitude Sports (12) Altitude Sports (9) Uniqlo (14) REI (10)

The two prompts draw on different sources

The plain answers cited U.S. review media: Consumer Reports in 45 answers, Good Housekeeping in 36. The Canada answers cited retailer pages (costco.ca 70, bestbuy.ca 51, canadiantire.ca 30), Reddit (35), and Government of Canada pages (a federal refund-and-exchange guide 15, a Competition Bureau grocery report 8). No Canadian review publication appeared in the top 15 cited sources for the Canada answers.

Most-cited domains under each prompt (answers citing each at least once, of 375)

Without "in Canada" Answers With "in Canada" Answers
bestbuy.com 49 costco.ca 70
consumerreports.org 45 bestbuy.ca 51
walmart.com 38 reddit.com 35
goodhousekeeping.com 36 canadiantire.ca 30
costco.com 30 clearly.ca 24
target.com 26 walmart.ca 21
rei.com 18 en.wikipedia.org 20
fda.gov 18 well.ca 20
forbes.com 15 ised-isde.canada.ca 19
nordstrom.com 14 canada.ca 18

Same question, five times

Asking each question five times gave the same first recommendation all five times in 60 of 150 groups (40%): 33 of 75 for the plain prompt and 27 of 75 for the Canada prompt. Most stable: TV (Costco.ca in 15 of 15 Canada answers), board games, books. Least stable: coffee beans, where 40 different Canadian roasters and shops were named across 15 answers and none led more than three times. gpt-6.1-sol ended 249 of its 250 answers with a question back to the shopper; gpt-5.6-sol did so in 2 of 250 and gpt-5.5 in 8 of 250.

Where we departed from the registered method

  • Collection paused once for an account balance top-up. 623 answers were collected first; the remaining 127 (all TV, running shoes and jeans runs, 19 coffee beans, 15 flowers, 3 winter coat) were collected after a DataforSEO top-up, in the same two-hour window, with the same settings.
  • Ten completed API calls were not saved and were rerun. Five bike answers and five flowers answers were returned by the API but the save step was interrupted before the files were written. Those ten were rerun; the reruns are the ones in the dataset and the lost responses were never read or used.
  • Run numbering. Where several identical calls were issued together, run numbers were assigned in the order results returned. Three raw files were saved with reformatted whitespace; content is unchanged.

What this does not answer

  • Whether the consumer ChatGPT app, which may know a user's location, behaves the same as the API.
  • Whether any named seller pays for placement anywhere.
  • Ownership of the named sellers. "Canadian storefront" means a .ca site or a Canada-specific retailer name, not verified Canadian ownership; Costco.ca and Best Buy Canada are U.S.-owned.

What we test next

The same 50 prompts rerun at the next ChatGPT model release, and the plain prompt run through the consumer ChatGPT app from a Canadian account to see whether known location changes the default.

Edition history

Every substantive change to this page since publication

Date What changed Why
2026-10-27 First published —