State of AI Visibility 2026

The State of AI Visibility is Visora's original research report measuring how often AI answer engines recommend real businesses — built from actual multi-engine scan data, not surveys or estimates. It is the first industry report of its kind for Hong Kong and Asian brands.

Key findings at a glance

What does the data show?

The headline finding from our Hong Kong scan data: over 60% of businesses that rank on Page 1 of Google are entirely ignored by AI search engines for the same queries. Ranking well in traditional search no longer guarantees that ChatGPT, Gemini, or Perplexity will recommend you — the two channels reward different signals.

What does the report measure?

How is it measured?

Every figure comes from live engine queries using generic discovery questions — never brand-name queries that guarantee a mention. The full scoring model is public: read the AVI methodology.

How to cite this report

Plain text: Visora (2026). State of AI Visibility 2026. Visora Research, Hong Kong. https://visoraco.com/research

APA: Yuen, E. (2026). State of AI Visibility 2026. Visora. https://visoraco.com/research

BibTeX: @misc{visora-state-of-ai-visibility-2026, author = {Yuen, Elea}, title = {State of AI Visibility 2026}, year = {2026}, publisher = {Visora}, address = {Hong Kong}, url = {https://visoraco.com/research}}

You may cite these findings with attribution and a link to this page. Journalists and researchers can request the underlying aggregates via the contact page.

Get the full edition

The full report — headline finding, key findings, and the industry-by-industry AIV breakdown — is free: enter an email address on this page and it opens in your browser. The scoring model is public at the AVI methodology.

About the author

Elea Yuen is the founder of Visora, a Hong Kong-based AI visibility practice. She leads the multi-engine scan research behind the State of AI Visibility report and writes the Visora Learning Center guides. More about Visora

Last updated: