How English-speaking buyers in the US ask
English-speaking buyers in the United States ask AI assistants in American English, about a life that runs on US rules. A bank account is a checking account, not a current account; a savings account is judged by its yield; a taxi booked through an app is a rideshare; a purchase is paid in installments, spelled the American way; and the price of a ride or a policy depends on the state as much as on the city. A new driver asks which car insurance company will take them in Texas. A small-business owner asks for accounting and invoicing software, a food-truck owner for the cheapest card reader, a job seeker for remote jobs open to US applicants. Software comes up too: a small business asks for the best CRM or a website builder, a small online store for an email marketing tool, a small agency for something other than spreadsheets to track client projects. Cities are Houston, Los Angeles, Miami, Chicago and New York, and a question about airlines is a question about a route, Chicago to New York, not about a country.
English is where global AI-visibility tools are strongest, and that is exactly why this market is easy to get wrong. A question asked in English from the United States should still come back with US brands and US sources: the bank, the insurer, the airline and the supermarket a person in Houston would actually use, not the shortlist of a UK comparison site. An English website, or an English interface in a tool, is not the same as being measured in the US English market. Nor is the US in English the US in Spanish with the language switched: VozRadar measures es-US and en-US separately, because a brand can be named for English questions and missing for Spanish ones, or the other way round. VozRadar discovers questions in en-US from the start, so the prompts read like something a person in the US would actually type. A few examples from the evaluation set follow.
Example questions
Hand-picked examples from VozRadar’s evaluation set for this market, in the language buyers use. They show how questions are phrased here; they are not measured demand.
- What's the best online bank in the US for a checking account with no monthly fees?
- Which car insurance company do you recommend for a new driver in the US?
- What accounting and invoicing software do you recommend for a small business in the US?
- Which grocery delivery service offers same-day delivery in the US?
- What's the cheapest card reader for taking payments at a food truck?
- Where should I look for remote jobs that are open to US applicants?
What shapes the answers
Web-grounded assistants answer from what they retrieve, and for an English question about the US that should mean US sources. US consumer publishers, NerdWallet, Bankrate, Consumer Reports and Investopedia, compare accounts, cards, insurers and products for US readers; The Points Guy covers airlines and travel cards; CNET reviews devices and services. The national press, The Wall Street Journal, The New York Times, USA Today and The Washington Post, covers banks, insurers and retailers for a US audience. Federal and state bodies publish on .gov domains, and universities on .edu. Global platforms such as Uber, Amazon, PayPal and Indeed are used across many countries and do not count as local to the US, however American their headquarters.
The domain alone says little here: almost every US publisher and brand lives on .com, the same suffix as a comparison site in London or Toronto. So VozRadar’s evaluation set names the US-only publishers by domain, and treats sources from the UK, Canada and Australia as what they are, another English-speaking market. That is also the risk a brand faces here: for a question asked in English, an engine can just as easily retrieve a British bank comparison or an Australian insurance guide as a US one, and the brands those sources describe are not the ones a buyer in Texas can use. A brand that describes its US offer on its own pages, in American English and with US terms, and is covered by US consumer publishers and the US press, gives the model a reason to name it; a brand present only in coverage from other English-speaking countries leaves the answer to the competitors that US sources describe. Absence from those sources is not a penalty; it is the absence of a reason to be included. The list below shows the kind of sources VozRadar checks for the US English market: a hand-picked set used to evaluate the market, not a ranking of who is cited most.
Local sources
Local publications and public bodies VozRadar checks for in AI answers for this market. A starting point, not a ranking of what gets cited most.
- nerdwallet.com
- bankrate.com
- consumerreports.org
- investopedia.com
- thepointsguy.com
- cnet.com
- wsj.com
- consumerfinance.gov
Where VozRadar helps in the US English market
The US English market is out of beta and generally available: on 3 October 2026 it passed VozRadar’s market readiness checks on two real AI answer engines, OpenAI’s web-grounded API and Perplexity’s web-search API. The checks ran its evaluation set, 28 questions in American English across fourteen categories: ten consumer categories, from digital banks and food delivery to car insurance, airlines and job boards, plus four software categories, CRM, email marketing, project management and website builders, with US benchmark brands and US local sources. Of the 133 answers, every one came back in English, 93% named at least one US benchmark brand of its category, 28% of the cited sources were US sources, and none came from the UK, Canada or Australia. Two things still need watching in this market more than elsewhere: whether an engine answers an English question with US sources or with comparison sites from another English-speaking country; and Gemini, whose API has no location control, so it sees only the language, and English is the language of several markets. VozRadar measures each of these per market, never pooled across countries, and the loop is the same as in Mexico, the reference market.
Discover. VozRadar finds the questions English-speaking buyers in the US are likely to ask about your category, in American English, and you approve the ones that matter.
Measure. Approved prompts run weekly on named answer surfaces: OpenAI’s web-grounded API, Gemini with Google Search grounding, Perplexity’s web-search API, and Google AI Mode and AI Overviews captured from search results, with the United States as the location wherever the surface allows one. Each answer is stored with its surface, model and location, and rates come with sample sizes rather than as a ranking.
Explain and fix. Gaps show which brands are named instead of yours and which US sources cover them but not you; each becomes a content brief or a prompt for a coding agent. You review and ship it. VozRadar never publishes to your site.
Prove. The Experiment Ledger records a baseline, a ship date and an observation window, so a change in US English answers has a recorded before and after.
VozRadar is in prelaunch; the waitlist starts with a free one-off scan of your brand in the US English market.
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