Prompt

How do I track AI visibility by geography?

Technology / Seo aeo tools1 observationLast seen Sep 24, 2026

Latest observation

Sep 24, 2026OpenAI APIWeb search: off

To track AI visibility by geography, you want to measure how often your brand, content, or site appears in AI answers for users in different locations. The exact setup depends on the AI source you care about, but the framework is the same.

1) Define what “visibility” means

Common metrics:

  • Mention rate: how often your brand is mentioned in AI answers
  • Citation rate: how often your site is linked/cited
  • Rank/order: whether you appear in the first, middle, or last part of the answer
  • Share of voice: your visibility vs competitors
  • Sentiment/context: whether you’re described positively, neutrally, or negatively

2) Segment by geography

Choose the geographic level you care about:

  • Country
  • Region/state
  • City
  • Language + country combo

For each geo, test the same set of prompts. For example:

  • “Best payroll software for small businesses”
  • “Top running shoes for flat feet”
  • “Affordable CRM for startups”

Run them from:

  • Different localized accounts/settings
  • VPN-based locations
  • Geo-specific search/AI tools
  • APIs or third-party monitors that simulate location

3) Use geo-specific prompt sets

AI answers can vary by region because of:

  • Local competitors
  • Local language
  • Legal/regulatory differences
  • Availability of products/services
  • Local search/citation sources

So create prompt variants like:

  • “best accountant in Toronto”
  • “best accountant in London”
  • “best accountant in Sydney”

Also include local phrasing and spelling.

4) Capture the AI outputs consistently

For each query and geo, record:

  • Prompt
  • Geo
  • Date/time
  • AI model/tool
  • Full answer text
  • Citations/links
  • Mentions of your brand and competitors

Store this in a spreadsheet, database, or BI tool.

5) Normalize the data

Because outputs can vary, use consistent scoring:

  • 0 = not mentioned
  • 1 = mentioned without citation
  • 2 = cited
  • 3 = recommended first
  • 4 = top recommendation + cited

Then compare by geography.

6) Compare against competitors

Track:

  • Which brands appear most in each geography
  • Which citations dominate locally
  • Where you’re missing entirely
  • Geo-specific content gaps

Example:

  • US: your brand appears in 70% of answers
  • Canada: 25%
  • Australia: 10%

That tells you where to localize content and authority building.

7) Look at the sources AI is using

AI visibility often depends on:

  • Local news/media
  • Local directories
  • Local backlinks
  • Region-specific review sites
  • Country-specific pages on your own site

If AI cites local sources in one country but not another, that’s a clue.

8) Build geo-specific content and authority

To improve visibility by geography:

  • Create localized landing pages
  • Use country/language-specific schema
  • Earn local links and mentions
  • Get listed in local directories/review sites
  • Add location-specific FAQs
  • Use hreflang for multilingual/multiregional pages

9) Monitor over time

Track monthly or weekly:

  • Visibility by geo
  • New competitor mentions
  • Citation source changes
  • Model changes
  • Prompt performance changes

AI answers are dynamic, so one-off checks are not enough.

10) Tools you can use

Depending on your budget and needs:

  • Manual testing with localized settings/VPNs
  • Rank/visibility platforms that support AI search monitoring
  • Custom scripts with geo-mocked prompts and API calls
  • SEO tools for local SERP and citation analysis
  • BI dashboards for geo comparison

Simple dashboard idea

Create a table with columns like:

  • Geo
  • Prompt
  • Your mention rate
  • Citation rate
  • Competitor A mention rate
  • Competitor B mention rate
  • Avg position in answer
  • Top cited sources

Then visualize:

  • Heatmap by geography
  • Trend lines over time
  • Competitor comparison bars

If you want, I can also help you build:

  1. a step-by-step tracking workflow,
  2. a spreadsheet template, or
  3. a dashboard spec for AI visibility by geography.

Brands

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.