How to be named for buyers outside the United States as well as inside it, and what each extra market costs

Appearing in assistant answers for buyers in a second country is not a setting you switch on. It is a second question set, because the market lock lives in the question rather than in a parameter, and it is a second evidence base, because the sources an engine cites differ by country. The cost therefore multiplies on the market line rather than the plan line, and the arithmetic to do before you buy anything is tracked questions, times engines, times refresh frequency, times markets. Forty questions on five engines read weekly in one market is 800 recorded answers a month. The same forty questions in four markets is 160 tracked questions and 3,200 recorded answers. Do that multiplication on your own inputs first, because vendors meter differently and two honest quotes for identical work can differ by an order of magnitude depending on whether the unit is a tracked question or a recorded answer.

What genuinely duplicates per market, and what does not

Item	Duplicates per market?	Why
The question set	Yes	The market has to be stated inside the question text, so each market is its own set
The source target list	Yes	The hosts the engines cite differ by country, measurably
Price and currency statements	Yes	A page quoting the wrong market's price is quoting a price its reader cannot get
Regulatory and claim language	Yes	The rules that govern a testimonial or an unsubscribe differ by country
The underlying product explanation	No	What the thing does is the same everywhere
Technical health of the site	No	One site, one set of fixes
Your measurement method	No	Same method, applied per market, which is what makes the readings comparable

Why the market lock has to be in the question

This is the detail that catches most programmes. Data providers in this category accept gl, hl and location parameters on the request and then ignore all of them, so a run configured to look American through parameters returns answers that are not reliably American. The only lock that holds is naming the country, and often the city, inside the text of the question itself. Every figure we publish is taken that way, and a page claiming a country specific reading without saying how the market was fixed is reporting something weaker than it appears.

What our own two market comparison showed

On 22 October 2026 we ran the same 198 question bank for the United States and for Canada through the same provider, on the same day, with each country named inside the question text. The brand batch, which names us in the question, is excluded from every figure below because it measures a ceiling.

Reading	United States	Canada
Blind readings	62	64
Named us	0	0
Named a rival and not us	24	26
Named nobody	38	38
Rival namings in total	48	69
Local firms named	0	6 firms, 21 namings
Citations	2,866 across 1,143 hosts	2,992 across 974 hosts

Same bank, same day, same engines, and two different markets. The American readings named no local firm at all and leaned on Google documentation, trade press, two agency directories and the regulator at ftc.gov. The Canadian readings named six local agencies 21 times and leaned on Canadian government hosts, canada.ca, the Competition Bureau and Statistics Canada among them, plus city specific domains. That is the clearest available demonstration that the source target list is a per market job rather than a translation job.

The order to add markets in

• Establish one market properly first, with a baseline you can re-read. A thin presence in four markets is worth less than a solid one in the home market.
• Add the market where you already have two referenceable customers, because the evidence base is partly built.
• Do the multiplication before each addition. Questions times engines times frequency times markets, and take that number into the pricing conversation rather than a plan name.
• Build the second market's source list from its own reading, never from the first market's list.
• Quote the right market's price on the right market's page, and never put two markets' prices in one sentence.

If the second market is one where the engines answered differently from the United States, the Canadian evidence is the clearest contrast available and the city level version of the problem is set out in the engines answered with nationwide sources and no city ones. For the per location cost arithmetic in full, including the meter question to put to a vendor, see why the unit count multiplies before the dollar figure does.

Questions about appearing in assistant answers across markets

Can one page serve several countries?

A page explaining what something does can. A page quoting a price, a rule or a local source should not, because each of those three is market specific and a reader in the wrong market gets a figure they cannot act on.

How many markets can one team run?

As many as it can hold the question sets and the source lists for. The practical limit is usually the source work rather than the reading, because each market needs its own target list built from its own reading.

Does translating existing pages work?

Translation handles language and does not handle evidence. On our two market comparison the source lists shared almost nothing at the top, so a translated page can be correct and still cite the wrong country's sources.

Which markets are cheapest to add?

The ones where you already have references and where your existing published evidence happens to be relevant. That is a question about your own assets rather than about the market's size.

How do I keep the readings comparable?

Same method, same question count, same engines, same frequency, per market, with the country named inside each question. Then the two markets can be read against each other even though the source lists differ.

Reading several markets without averaging them

The failure mode in multi market work is a single blended visibility score, which on our own evidence would have hidden the fact that one market named six local firms and the other named none. AI Knows Us reads ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews per market and per engine, states the denominator for each, and keeps the raw answer text so a market claim can be audited. In the United States the cheapest tier that reads all five engines is Growth at 299 dollars a month with 100 buyer questions watched; outside the United States and the United Kingdom the same plan is 199 dollars a month. Both read on aiknowsus.com/pricing and aiknowsus.com/llms.txt on 22 October 2026, and the question count is the line to size against your market count.