Regions & Personas

AI search visibility by country is the measure of how often and how well your brand appears in the answers generated by AI engines like ChatGPT, Google AI Overviews, and Gemini for users in specific geographic markets. It matters because a buyer in Paris and a buyer in Tokyo may ask the same question but receive different answers, each shaped by local context, language, and the sources the AI deems relevant. In traditional search, you tracked rankings for keywords in each locale. In AI search, you track citations, mentions, and sentiment within the generated answer itself, knowing that a single paragraph can decide a purchase.

When search was a list of links, a page could rank globally. An AI answer is a synthesis, and its sources are chosen with a point of view. ChatGPT may cite a prominent US tech blog for a user in New York, but reference a German trade publication for the same query from Berlin. Furthermore, the AI tailors its tone and recommendations based on who it perceives is asking. The answer to 'best project management software' will differ for a freelance graphic designer versus an enterprise IT director. Localised AI search tracking is therefore about understanding these dual layers of bias: the geographic and the personal. You are no longer just optimizing for a keyword, but for a context.

In Mentionry, you write the questions your buyers ask. The platform then puts each prompt to the configured AI engines, such as ChatGPT, Gemini, Google AI Overviews, Claude, and Perplexity, once per day. For regional tracking, it queries the specific regional context of those engines. All answer text, every cited URL, every named brand, and the model's internal search steps are recorded.

These readings are organized on the Regions dashboard. You see your core metrics, visibility score, share of voice, and sentiment, segmented by each region and language you track. A second view splits the data by your configured audience personas, placing the readings for each persona in adjacent columns. This lets you compare not just France versus Canada, but how the AI advises a budget-conscious buyer versus a premium seeker in the same country.

Open the Regions dashboard at the start of your week. Filter to view last week's data for your key competitor in the UK region. Look for a shift in sentiment or a new publication citing them that doesn't cite you. This signals a local PR or content gap.

Compare the 'IT Manager' persona column against the 'Marketing Lead' persona for your top product prompt. Note which of your own help articles or case studies each persona's answers cite. If the Marketing Lead receives answers citing your high-level whitepaper, but the IT Manager gets answers citing a competitor's technical spec, you have a content alignment opportunity.

Set a scheduled agent to run every Monday. Have it check the visibility score for your brand in the DACH region (German language) versus the US. Configure it to post a summary to your team's Slack channel if the delta grows beyond a point you set. This automates the oversight of your global AI presence.

A rising visibility score in a region means the AI is naming you more often in its answers there. Check the citations to see if it's your global homepage or a locally relevant page driving the increase. A falling score may not mean you've lost ground, it could mean the AI is synthesizing answers differently, perhaps naming fewer brands overall.

Differences between personas are the finding. If you are mentioned for 'ease of use' to the small business persona but for 'security features' to the enterprise persona, your messaging is landing as intended. If you are absent from one persona's answers entirely, the AI does not associate your brand with that audience's needs. Remember, these readings are from the prompts you track. They reflect your chosen slices of demand, not every possible question in the market.

This is not a panel data tool. The prompt volumes you see are estimates based on related search data, not a direct feed of what millions are typing into ChatGPT. The feature shows you how the engines answer for your defined contexts, not how often those contexts are queried.

There are no specific limits on the number of daily readings per region or persona beyond your overall account prompt limit. The data recording begins when you add a prompt for a region or persona, there is no historical backfill.

The trial is free for seven days and includes this feature. You can track one region and language with two personas, putting 50 prompts daily to ChatGPT, Gemini, and Google AI Overviews.

The Starter plan, at $99 a month, expands on this with exports and more agent runs, but keeps the one-region, two-persona scope. The Enterprise plan is quoted individually. It allows tracking up to five regions and languages simultaneously, with up to twelve audience personas, from ten seats, with API access and SSO. Enterprise also includes access to more answer engines.