One country or five? How to budget AI visibility work across markets

Why every market is its own sample

An AI visibility number for one country tells you little about another. The same question asked in a different country or language can name different brands, cite different sources and draw on different review sites. Engines localise answers, and the sources they trust differ by market.

That makes each market a separate sample with its own cost. Our buyer's spec for an AI visibility score explains why a score has to be reported per country and language rather than blended. Research on answer noise across languages points the same way: a preprint by Żatuchin on arXiv examines how much answers vary when the same prompt is asked in different languages.¹

Our view: a single "global" score that averages five markets hides the one that matters. If most of your pipeline comes from one country, a blended number can rise while your position there falls.

Where the cost of a market comes from

A market costs money in four places, and only one of them shrinks with automation.

• The prompt set. Prompts have to be written the way buyers in that market ask, in their language, with local competitors and local terms. Translating an English set misses the questions that matter locally.
• The runs. Prompts multiplied by engines multiplied by days. Our audits run each prompt on six engines on three separate days, so every extra market multiplies the answer count.
• Off-site work. Directories, review sites, trade press and communities differ by country. Earning citations in one market does little for another.
• Reporting and review. Someone who reads the language has to check what the answers actually say, including errors about your prices and availability.

Runs are the cheap part. Native-language prompt drafting, local off-site work and review are where a second market costs nearly as much as the first.

Which engines are live, and how exposed are buyers?

Availability is broad, but exposure is uneven. Google said in October 2025 that AI Mode was expanding to more than 200 countries and territories and adding more than 35 new languages.² Being available is not the same as being used, so look at how often AI answers appear in each market.

AI Overviews show how much that varies. In an Ahrefs analysis of 108 million AI Overview queries (published November 2025; data period not stated), AI Overviews appeared for 37.2% of keywords in Indonesia and 26.8% in India, against 8.7% in Greece.³ Prevalence also differs by language and query type, so check your own category in each market before trusting a country average.

Chatbot habits vary too. The Reuters Institute's Digital News Report 2026, fielded from mid-January to February 2026 with some questions repolled in March, found that 10% of people across 48 markets used an AI chatbot for news each week.⁴ That figure covers news use only, but its spread across countries is a fair proxy for how settled the habit is.

When Google launches an AI feature in a new country, take a baseline before it lands. Our note on the AI Overviews launch in France shows why that first reading matters.

A decision guide: which markets to fund first

Rank markets on two axes: revenue at stake and AI exposure. Revenue at stake is your current and planned pipeline in that market. AI exposure is how often buyers there meet AI answers for your category: AI Overview prevalence, chatbot use and whether the main engines are live in the local language.

Two adjustments refine the grid. Shared language lowers the cost of a second market, because prompts and some sources carry over. Distinct competitors raise it, because the competitor set has to be rebuilt; our guide to choosing a competitor set covers how.

Our view: for most companies under a few hundred people, one fully funded market and one monitored market is the right start. Five full programmes is a budget for a company that already knows what works in the first one.

One, three or five: what each budget buys

Each pattern buys a different depth of work per market, from one full programme to five.

Illustrative. Patterns we use at Sigzen AI when scoping; they are not price tiers.

Monitoring is not doing nothing. A quarterly run of category and brand prompts in a secondary market catches the errors that cost deals, such as a wrong price or a claim that you do not serve that country. It also tells you when the market has earned more.

What to ask a provider about markets

Ask what each market gets, not just what the total costs. A low price for five countries usually means one prompt set translated five ways and run once. For the wider provider review, our RFP questions for AI visibility work cover method, data, reporting and team.

1. How many prompts per market, and who drafts them in the local language?
2. How many runs per prompt, on which engines, and on how many days?
3. Is the competitor set rebuilt for each market?
4. Which local sources does the off-site work target, and who reads the answers?
5. Are results reported per market, with the margin of error, or blended?

Published prices help here. Our dataset of published GEO prices shows what providers list and how they define the unit. Our own audit is published on our pricing page at $3,500 for 150 buyer prompts across six engines; if you need several markets, the extra prompt sets are scoped and quoted before any work starts.