Solution
AI visibility platform for cross-border brands
Monitor how global and localized answer engines describe your brand, compare you to competitors, and expose ecosystem-specific content gaps.
The operating problem
Cross-border brands are judged by AI engines before many users ever click a result. The risk is not just invisibility. It is also misrepresentation, weak category framing, and competitor-led recommendations.
Citany gives brand teams one system to monitor English and Chinese answers, understand citation drivers, and ship the fixes that matter.
What teams usually feel before they have visibility
- They suspect AI is influencing demand, but cannot prove where the brand is absent or misrepresented.
- They see competitors named in ChatGPT or Perplexity screenshots, but do not know whether the cause is weak content, poor reviews, or missing market-specific assets.
- They invest in new markets without knowing whether AI engines in those markets even understand the brand correctly.
- They publish more content without a clear view of which page type would actually change the answer.
What teams use it for
Market entry visibility
Check whether your brand is even part of the recommendation set in a new region.
Competitive positioning
See how AI describes your brand versus competitors by use case and market.
Executive reporting
Explain movement clearly to leadership with an answer-engine view of performance.
What to work on first
For most cross-border brands, the first wins come from better category framing, stronger comparison pages, clearer FAQs, more trustworthy third-party references, and localized assets for markets where the current brand story does not transfer well.
The useful question is not 'how do we do more SEO for AI?' It is 'which sources and page types are currently shaping the answer, and what evidence do we need to change that?'
Expected result for brand teams
- A clearer view of where AI understands the brand and where it does not.
- A prioritized roadmap for owned pages, third-party proof, and market-specific content.
- Fewer debates about anecdotal screenshots and more consistent reporting across teams.
- A stronger ability to explain AI visibility risk to leadership with evidence.
Frequently asked questions
Common questions about this workflow, use case, or research area.
Is this mainly for large international brands?
No. It is useful for any brand selling across markets where AI recommendations can influence discovery before users reach the site.
What should a brand team fix first after the first audit?
Usually the first fixes are the highest-intent comparison or category pages, the weakest FAQ or source-clarity gaps, and the most obvious missing third-party proof.
Next Step
Check your own brand against these patterns
If this page matches what you are seeing, run a free audit to review prompt coverage, competitor gaps, and the sources shaping AI answers in your category.