Country scoping
Run separate analyses per country, or globally.
Last updated: 2026-05-05
TL;DR — Country scoping lets you run AI Scans, search-volume lookups, and competitor analytics one country at a time, or globally. Set a country on a brand, scan, or competitor — leaving it blank means "global". The dashboard's Country filter at the top scopes every widget to your selection.
Why country scoping matters
AI engines return different answers in different countries. ChatGPT might recommend Klarna for "best buy-now-pay-later" in Sweden, Affirm in the US, and Tabby in the UAE. If you only ran scans globally, you'd see a blended muddle that doesn't reflect what real prospects in any specific market actually see. Country scoping gives you accurate, market-specific visibility data — essential for international brands, regional marketing teams, and country-specific go-to-market plans.
Where country shows up
Country is a property at four levels:
| Level | Default | Effect |
|---|---|---|
| Brand | Your account country | Becomes the default for new scans of this brand |
| Scan | Brand's country | The locale Pranas asks each model to assume; affects results |
| Competitor | None (global) | Determines which country dashboards include this competitor |
| Search-volume lookup | Scan's country | Selects the search-volume location code for the country |
Step-by-step: scope a scan to a country
- Open Run AI Scan (Dashboard topbar or Results → New Scan).
- In the dialog, select the Country dropdown.
- Choose a country from the list (US, UK, India, Germany, etc.).
- Choose prompts and models as usual.
- Run the scan.
The country is sent as context to each model so responses are returned with that locale in mind. The scan record stores the country so dashboards can filter on it later.
Dashboard country filter
The Country dropdown at the top of the dashboard is the workhorse:
- All countries (default) — shows blended data across every country.
- Specific country — narrows every widget (Visibility, SOV, Top Brands, Co-occurrence, Sources, Perception) to scans run for that country plus competitors that match (either set to that country or with no country = global).
Switching country instantly rescopes the entire page without reloading.
Worked example
A B2B fintech runs scans for the US, UK, and Germany separately every week. The dashboard country filter lets the marketing team:
- Pull up US view: SOV 18%, top competitor Stripe.
- Switch to UK: SOV 11%, top competitor GoCardless — totally different competitive dynamics.
- Switch to Germany: SOV 6%, top competitor Mollie — clear opportunity gap.
Each market gets its own quarterly plan based on its dashboard. None of this would be visible if scans were run globally.
Competitor country logic
A subtle but important rule:
- Competitor with country = NULL (global): shows in every country dashboard.
- Competitor with country = "US": shows only when dashboard country = "US" or "All".
Use NULL (global) for competitors you face everywhere (Stripe, Salesforce). Use a specific country for regional competitors (GoCardless in UK, PayU in India).
Search volume
When you generate prompts, Pranas can look up monthly search volumes for the underlying keywords via our search-volume database. The country you pick at prompt-generation time selects the search-volume location code:
- US →
2840 - UK →
2826 - India →
2356 - Germany →
2276 - (and many more — full list in Search volume tiers)
Same keyword, different country → very different volume. "best CRM" in the US has ~22k searches/month; in the UAE it might have 800.
Edge cases & gotchas
- Cross-country comparisons: today, the dashboard shows one country at a time (or "All" blended). Side-by-side multi-country comparison is on the roadmap.
- Brand country vs. scan country: a brand can have country = US, but you can run a scan with country = UK. The scan's country wins for that scan's data.
- "All" doesn't mean global query: it means "show me data from all my country-scoped scans, blended." If you've never run a UK-scoped scan, "All" still won't have UK data.
- Country affects model output, not just filter: this is the key reason to scope at scan time, not just at view time. Asking ChatGPT "best banks" without country context produces US-defaulted answers.
- Some models are weaker at locale: smaller/faster models can ignore country instructions. If you need rigorous locale fidelity, prefer top-tier models (Gemini 3 Pro, GPT-5, Claude).
Troubleshooting
| Symptom | Likely cause | Fix |
|---|---|---|
| Country dropdown shows "no data" | No scans for that country in current date range | Run a country-scoped scan, or widen date range |
| Same competitor appears in every country | Competitor country = NULL (global) | Edit competitor, set country if regional |
| Search volumes look way off | Wrong country at prompt-generation | Re-generate volumes with correct country |
| Results don't feel locale-specific | Used a fast model that ignored locale | Re-run with a stronger model |
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Still need help?
Email contact@pranas.co with the country and brand you're trying to scope.