BPI appeared in more AI-generated answers about Philippine banking than any other bank measured in PRecious Communications' latest study, while BDO was mentioned first most often across the four tested question categories. The findings highlight an emerging challenge for corporate communications teams: being visible in artificial intelligence (AI) answers is not the same as occupying the most prominent position.
Released on October 15, 2026, the PRecious AI Authority Index: Southeast Asia Banking 2026 examined how AI systems presented banks in responses to consumer banking, business banking and trust-related questions. The Philippine results were based on an August 2026 snapshot.
In business banking, BPI appeared in 96% of tested answers, while BDO received the first mention in 75% of responses. In consumer banking, BPI led answer reach at 73%, while BDO had a 31% first-mention share.
The distinction has implications for banks, marketers and communications leaders as audiences increasingly use AI tools to research products, compare providers and seek recommendations. However, the findings measure how banks appeared in the tested AI responses, not how consumers actually perceive or choose financial institutions.
What does the PRecious AI Authority Index reveal?
The study, conducted by communications consultancy PRecious Communications through its proprietary PRecious Pulse measurement and research platform, examined AI-generated answers about banking across Southeast Asia.
Its Philippine findings distinguish between two measures:
- Answer reach: How often a bank appeared in the AI-generated answers tested.
- First-mention share: How often a bank was the first institution named in those responses.
These measures capture different aspects of AI visibility. A bank can appear in many answers without being the first institution mentioned. Another bank may receive fewer overall appearances but occupy the opening position more frequently.
According to the study, BPI led answer reach in the tested Philippine categories, including a 96% appearance rate for business banking and 73% for consumer banking. BDO, meanwhile, had the highest first-mention share across all four tested question categories.
The report does not establish that one bank is better than another. First mention reflects answer order, not an endorsement, customer preference or independent assessment of banking services.
Why does AI visibility matter to corporate communications?
AI-generated answers introduce another environment in which organizations must understand how their brands are represented. Traditional search engine optimization (SEO) focuses partly on helping pages appear in search results, while generative engine optimization (GEO) concerns how information about an organization is surfaced or represented in AI-generated responses.
For corporate communications teams, the challenge extends beyond securing a mention. They also need to understand the context in which a company appears, the information used to describe it and whether that description accurately reflects its products, policies and customer experience.
Paolo Alba, regional vice president and Philippines country lead at PRecious Communications, said the Philippine findings illustrate the difference between visibility and prominence.
Communications teams, he said, need to examine not only whether a bank appears but also what an AI system says about it, why it is positioned in a particular way and whether the narrative reflects customers' actual experiences.
That distinction matters because AI answers can influence how people encounter information about organizations. Yet a prominent position in a generated response should not be mistaken for proof of stronger reputation or better performance.
Does being mentioned first mean a bank is more trusted?
No. A first mention in an AI-generated answer does not, by itself, establish that consumers trust a bank more or prefer its services.
Lars Voedisch, founder and group chief executive officer of PRecious Communications, cautioned that first mention records narrative order rather than customer preference.
The distinction is important for interpreting AI measurement. A bank's position may vary according to the question asked, the AI platform used, the wording of a prompt and the information available to the system.
The PRecious study describes its findings as a point-in-time snapshot from August 2026. Results may change as AI services evolve and the information available about financial institutions changes.
For businesses, this means a single visibility score should not be treated as a complete measure of digital reputation. Teams need to examine the substance of the answers and the consistency of findings across relevant queries and platforms.
What can banks and communications teams do with these findings?
The study offers a diagnostic view of how banks appear in tested AI answers. Organizations can use this type of research to identify areas for further investigation, rather than treating the results as a definitive ranking of reputation.
Several practical steps can help communications teams respond.
1. Monitor more than brand mentions.
Track whether AI answers mention the organization, how it is described and whether its products or services are represented accurately. A high appearance rate alone may not reveal the quality or relevance of those mentions.
2. Test questions that reflect real customer needs.
Queries about savings accounts, business banking, digital services and customer support can reveal different patterns of representation. Teams should distinguish between broad brand questions and specific product-related questions.
3. Strengthen the quality of public information.
Keep official websites, product pages, FAQs, disclosures and customer-support information accurate and easy to understand. Clear, consistent information gives customers and information systems better material to reference, although it does not guarantee a particular AI ranking.
4. Check claims against the customer experience.
If an AI answer makes an inaccurate or outdated claim, investigate the underlying information and correct it where possible. Communications teams should prioritize factual accuracy over attempts to secure a particular position in generated answers.
5. Measure performance across platforms and over time.
AI responses can vary between services and change as systems are updated. Repeated testing with documented questions and consistent methods provides a more useful basis for comparison than an isolated result.
These practices can help organizations understand their representation in AI answers while keeping reputation management grounded in verifiable information.
Why Southeast Asia requires a market-specific approach
The PRecious AI Authority Index covers Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam. The regional findings indicate that brand visibility patterns differ between markets and question categories.
That variation matters for companies operating across Southeast Asia. Banking systems, languages, consumer needs and available public information differ by country, so findings from one market should not automatically be applied to another.
AI systems may also produce different answers depending on how questions are phrased and which sources are available. A communications strategy that works for one country may not address the same visibility challenges elsewhere.
For regional businesses, monitoring should therefore account for local language, market-specific products, relevant customer questions and the information available in each country.
The Philippine findings offer a focused example of why local analysis matters, even when an organization operates across several markets.
What the findings mean for the future of AI-driven discovery
As AI tools become another way for people to seek information about businesses, organizations will need to understand how their brands are described in these environments.
The PRecious study illustrates why that work requires more than counting appearances. Answer reach can show how often a brand enters a conversation, while first-mention share indicates how frequently it occupies the opening position. Neither measure independently establishes trust, service quality or commercial success.
For banks and other organizations, the next step is to combine AI visibility monitoring with established measures of customer experience, reputation and business performance.
The report, PRecious AI Authority Index: Southeast Asia Banking 2026, is available at PRecious Pulse.
For corporate communications leaders, the practical lesson is clear: understanding how AI presents a brand is becoming an important part of digital reputation management, but visibility must always be interpreted in context.