AI Search Asia
Evidence for the
answer economy.
How generative AI systems find, cite and represent organisations across Asia-Pacific—methods published before conclusions.
Flagship programme
Asia AI Search Benchmark
A regional baseline,
without invented certainty.
The benchmark is designed to compare source presence, answer roles, claim fidelity and regional fit across controlled enterprise research journeys.
Market programmes
One region.
Different evidence problems.
Our programmes begin with market-specific research questions, not duplicated country templates.
For enterprise teams
Field guide
Turn AI visibility into an accountable operating practice.
Map decision journeys, maintain source-of-truth ownership, route risky inaccuracies and measure under documented conditions.
Open the governance guide ↗- 01DiscoverDefine material journeys
- 02ObserveRecord reproducibly
- 03DecideRoute by risk and owner
- 04ImproveStrengthen canonical evidence
Research notes
Methods before metrics.
View all research →Research Note: Why We Pre-register the Benchmark
The release gates that separate a planned sample from a defensible baseline.
↗ 03 Aug 2026Source Authority Is Not the Same as Market Fit
Why globally credible sources can still produce locally inapplicable enterprise answers in Asia-Pacific.
↗ 03 Aug 2026Field Note: What Counts as an AI Answer Observation?
A practical definition of the unit of observation for reproducible enterprise AI visibility research.
↗Contribute to the evidence base
Bring a question.
Challenge a method.
We welcome replicable datasets, regional expertise and specific corrections.
Contact the research desk ↗