A different bank appeared first
In 706 of 1,628 eligible matched comparisons, two routes answering the same question put a different bank first.
Your brand can lead one answer and vanish from the next. We tested what changes across services, markets, questions and languages.
This is a point-in-time study of Southeast Asian banking. It shows what appeared in tested answers and what public proof sat behind them. It is not a league table or a measure of customer preference.
That is the real finding. The answer shifts with the service, the question, the market and the language. One dashboard view can miss the competitive field that matters.
In 706 of 1,628 eligible matched comparisons, two routes answering the same question put a different bank first.
Business-banking answers named 4.73 banks on average, compared with 3.52 for consumer-banking questions.
Singapore, Malaysia and Vietnam had consistent leaders. Indonesia, the Philippines and Thailand split or shifted by question.

Google AI Search and Copilot sit in different research settings. Test the routes your customers and decision-makers actually use.
Qwen, DeepSeek and Kimi did not move in one shared pattern. Neither did the other services. Check the product, language and source conditions, not the flag.
Clear owned content matters. So do customer evidence, regulator material and credible earned coverage that gives people more than the brand's own account.
Keep the core narrative consistent across web, social, media, spokesperson and sales content. Then make the examples, evidence and language fit the market.
We ran a point-in-time analysis in August 2026 across Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam. The broad banking study covered four question groups. The cross-route comparison used two languages and three questions per market across 11 service-labelled routes.
The 2,740 total includes original, repair and extension work. It does not mean 2,740 independent tests. The 43% finding uses matched pairs where both answers named a recognised bank. Those pairs share underlying answers.
Most comparisons used APIs. The Copilot route used an Azure model with web search, not Microsoft 365 Copilot. The Google route used a search-grounded Gemini API, not Google AI Overviews or AI Mode. Some source conditions differed by route.
First mention records answer order, not trust, endorsement or purchase preference. Results can change as products, models, search and public evidence change. Full limitations and route notes appear on pages 30 and 31 of the gated report.

Two pages. The core finding, the final 13-bank matrix and three actions for communications leaders.
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32 pages. Market profiles, service and language differences, earned media, methodology and a practical action plan.
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Check the questions, services, markets and languages that shape real customer decisions.
Remove conflicts across web, social, media, spokesperson and sales content.
Make claims specific, current and checkable. Add customer and earned evidence where it counts.
PRecious Pulse is the measurement, research and insights platform behind this work. It shows what AI says about a brand, which public evidence holds up, where the gaps are and what communications teams can change.