Prompt
Need AI visibility tracking by market and language
Latest observation
If you want AI visibility tracking by market and language, the core setup should let you see:
- Where you appear in AI answers
- Which market the answer is coming from
- Which language the answer is in
- How you compare against competitors
- How this changes over time
What to track
- Brand mentions in AI responses
- Citation / source presence
- Share of voice by market
- Answer position or prominence
- Sentiment / recommendation tone
- Query intent by market/language
- Competitor mentions
Market + language structure
For each tracked query, store:
- Market: country, region, city, or business unit
- Language: en, es, fr, de, etc.
- Device / platform: desktop, mobile, ChatGPT, Gemini, Perplexity, etc.
- Prompt version: exact query used
- Date / time
- Result snapshot
Recommended dashboard views
- Global visibility overview
- Market comparison
- Language comparison
- Top prompts by visibility
- Competitor share by market
- Trend lines over time
- Missing markets/languages
Best-practice approach
Use a tracking system that:
- Runs the same prompt set across markets/languages
- Translates prompts carefully, not literally
- Normalizes results so comparisons are fair
- Captures local search terms and local brand names
- Stores historical snapshots for trend analysis
Example metric
AI Visibility Score
- 40% mention rate
- 30% citation rate
- 20% recommendation rate
- 10% ranking prominence
Then break that score down by:
- Country
- Language
- Topic
- Competitor set
If you want this operationally
I can help you build any of these:
- a tracking framework
- a dashboard spec
- a database schema
- a reporting template
- or a tool/vendor shortlist
If you want, I can draft a complete AI visibility tracking system by market and language in a one-page format.
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 Circuit. 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.