How B2B buyers in Singapore, Malaysia, and Indonesia research software in 2026
How B2B buyers in Singapore, Malaysia, and Indonesia research software via ChatGPT, Perplexity, and Google AI — and why each market differs.
B2B software research in Southeast Asia no longer follows one path. A Singapore HR director asks ChatGPT for payroll platforms with CPF and IRAS compliance. A Kuala Lumpur counterpart asks for EPF, SOCSO, and LHDN support. A Jakarta buyer may prompt in Bahasa Indonesia for BPJS and PPh 21 — and receive a different shortlist entirely. Same category, same intent, three different AI answers.
The experiment: one category, three markets
To compare how buyers research — not just what they buy — we used a controlled prompt across Singapore, Malaysia, and Indonesia:
Category: Payroll and HR compliance software
Format: Country-specific buyer prompt (HR director role, local statutory requirements)
Engines: Google AI Overview, ChatGPT, Perplexity, Claude
Singapore was audited in full on 26 June 2026 as part of our visibility research on Swingvy. Malaysia and Indonesia were audited the same day using matching buyer prompts.
This is deliberately not a product review. It mirrors how a real buyer starts research in each market — the same method your prospects use before they visit your website.
Singapore: English-first, engine-fragmented
Singapore B2B buyers research payroll software in English, using compliance terms that narrow the source pool quickly: CPF, SDL, IRAS AIS, MOM payslips.
Buyer prompt (Singapore)
I’m an HR director in Singapore. Which payroll and HR software platforms should I shortlist for CPF, SDL, and IRAS compliance?
What AI engines returned (26 June 2026)
| Engine | Vendors named | Local (.sg) focus | Notable gap |
|---|---|---|---|
| ChatGPT | Talenox, PeopleCentral, JustLogin, QuickHR, Info-Tech HRMS, Employment Hero | Strong | Global vendors (Workday, SAP) mentioned for larger orgs |
| Perplexity | PeopleCentral, Talenox, Payboy | Strong | Only three-vendor shortlist; citations from .sg listicles + IRAS |
| Claude | Talenox, JustLogin, QuickHR, Info-Tech HRMS, Omni HR, Frontier eHR | Strong | Cites comparison blogs (Omni HR, BrioHR, Rockbell) |
| Google AI Overview | QuickHR, brioHR, Talenox, SMEPayroll, Singroll, Swingvy | Strong | Swingvy in AIO but not in page 1 organic blue links |
Three patterns stand out:
Conversational AI agrees on a local core, but not the same three names. Talenox and PeopleCentral appear across ChatGPT and Perplexity. JustLogin and QuickHR appear in ChatGPT and Claude. No engine returns the same shortlist.
Google is already a separate surface. Swingvy appeared inside Google AI Overview for payroll software singapore sme but was absent from ChatGPT, Perplexity, and Claude on the buyer prompt — and absent from page 1 organic results on the same screen.
Sources are third-party, not vendor homepages. Perplexity cited iras.gov.sg, omnihr.co, snaphrm.com, and briohr.com. ChatGPT linked directly to vendor pages. The engine determines the source type — and therefore which brands get named.
For the full Singapore audit — including engine-by-engine analysis of the Swingvy case — see Why Singapore B2B companies are invisible in AI search.
Malaysia: PayrollPanda and Swingvy lead Google; engines disagree on the core three
Malaysian SME payroll runs on EPF (KWSP), SOCSO/EIS (PERKESO), PCB/MTD (LHDN), and forms like Borang EA and CP39.
Buyer prompt (Malaysia)
I’m an HR director in Kuala Lumpur. Which payroll and HR software platforms should I shortlist for EPF, SOCSO, PCB, and LHDN compliance?
Google query: payroll software malaysia sme
What AI engines returned (26 June 2026)
| Engine | Vendors named | Citation bias |
|---|---|---|
| ChatGPT | QuickHR, PayrollPanda, Talenox, Employment Hero, BrioHR, Swingvy, SQL Payroll | .my vendor domains + LHDN approved-list PDF |
| Perplexity | Omni HR, HavaHR, PayrollPanda | Comparison blogs (omnihr.co, hashmicro.com) |
| Claude | PayrollPanda, Kakitangan, SQL Payroll, BrioHR, HR2eazy, Talenox, QuickHR | Third-party listicles (Omni HR, Bolto, TrustedMalaysia) |
| Google AI Overview | PayrollPanda, brioHR, Swingvy, Talenox, Million Payroll, SQL Payroll | Mix of vendor sites + BrioHR listicle |
Three patterns differ from Singapore:
PayrollPanda appears everywhere. It is the only vendor named across all four surfaces — ChatGPT, Perplexity, Claude, and Google AI Overview. In Singapore, no single vendor achieved that consistency.
Swingvy appears in Malaysia but not Singapore conversational AI. ChatGPT and Google AI Overview both named Swingvy on the Malaysia prompt. On the Singapore buyer prompt the same day, Swingvy was absent from ChatGPT, Perplexity, and Claude — visible only in Google AI Overview. Regional expansion does not carry visibility automatically.
Perplexity’s Malaysia shortlist is narrow and blog-driven. Three names (Omni HR, HavaHR, PayrollPanda) versus seven on ChatGPT. Omni HR is cited via Singapore-published comparison content (omnihr.co) — not a .my homepage.
Google AIO and organic partially overlap. PayrollPanda, Swingvy, Talenox, and SQL Payroll appear in both AI Overview and page 1 results. QuickHR is prominent in ads and organic listings but less central in the AIO summary text.
Indonesia: English and Bahasa prompts return different shortlists
Payroll compliance in 2026 centres on PPh 21 (TER withholding, 2026 DTP incentive), BPJS Kesehatan, and BPJS Ketenagakerjaan.
Buyer prompts (Indonesia)
English:
I’m an HR director in Jakarta. Which payroll and HR software platforms should I shortlist for BPJS and PPh 21 compliance?
Bahasa Indonesia:
Saya direktur HR di Jakarta. Platform payroll dan HR apa yang sebaiknya saya pertimbangkan untuk kepatuhan BPJS dan PPh 21?
Google query: software payroll indonesia ukm
What AI engines returned (26 June 2026)
| Engine | Prompt language | Vendors named |
|---|---|---|
| ChatGPT | English | Peoplyee, Sigma, Forte, KlikPersonalia, HRD.id |
| Claude | English | Mekari Talenta, Gadjian, LinovHR, Benemica, KantorKu, Better HR, HashMicro, Asanify |
| Perplexity | English | Mekari Talenta, Gadjian, Peoplyee, Asanify, Forte HRIS |
| Perplexity | Bahasa | Gadjian, SatuHR, GajiHub, Payrovia, Sigma, MiHCM, BetterHR |
| Google AI Overview | Bahasa (SERP) | Mekari Talenta, GajiHub, Gadjian, PayrollBozz |
This is the strongest finding in the cross-market audit:
Language changes the shortlist on the same engine. Perplexity in English leads with Mekari Talenta and Peoplyee. Perplexity in Bahasa leads with Gadjian, SatuHR, and GajiHub — and does not name Mekari Talenta despite it being the market leader cited in the English run and in Google AI Overview.
ChatGPT and Claude disagree on market leaders. ChatGPT’s top three are Peoplyee, Sigma, and Forte — omitting Mekari Talenta and Gadjian entirely. Claude names both Mekari Talenta and Gadjian alongside eight domestic platforms.
Google serves Bahasa by default. The AI Overview and most page 1 organic results for software payroll indonesia ukm are in Bahasa Indonesia, citing .id listicles (paper.id, jobseeker.software, weefer.co.id) and vendor sites (gadjian.com, talenta.co). English-only content from a regional SaaS vendor may not enter this source pool at all.
Citation domains shift with language. The Bahasa Perplexity run cited wartaekonomi.co.id and .id vendor homepages. The English run cited icehrm.com, kantorku.id, and jobseeker.software — overlapping but not identical.
Cross-market comparison (26 June 2026)
| Market | ChatGPT | Perplexity | Claude | Google AI Overview |
|---|---|---|---|---|
| Singapore | Talenox, PeopleCentral, JustLogin, QuickHR, Info-Tech, Employment Hero | PeopleCentral, Talenox, Payboy | Talenox, JustLogin, QuickHR, Info-Tech, Omni HR, Frontier eHR | QuickHR, brioHR, Talenox, SMEPayroll, Singroll, Swingvy |
| Malaysia | QuickHR, PayrollPanda, Talenox, Employment Hero, BrioHR, Swingvy, SQL Payroll | Omni HR, HavaHR, PayrollPanda | PayrollPanda, Kakitangan, SQL Payroll, BrioHR, HR2eazy, Talenox, QuickHR | PayrollPanda, brioHR, Swingvy, Talenox, Million Payroll, SQL Payroll |
| Indonesia (EN) | Peoplyee, Sigma, Forte, KlikPersonalia, HRD.id | Mekari Talenta, Gadjian, Peoplyee, Asanify, Forte HRIS | Mekari Talenta, Gadjian, LinovHR, Benemica, KantorKu, Better HR, HashMicro, Asanify | — |
| Indonesia (ID) | — | Gadjian, SatuHR, GajiHub, Payrovia, Sigma, MiHCM, BetterHR | — | Mekari Talenta, GajiHub, Gadjian, PayrollBozz |
No vendor appears in all twelve cells. PayrollPanda comes closest for Malaysia (four-of-four surfaces). Mekari Talenta appears in Indonesia English Perplexity, Claude, and Google AIO — but not in the Bahasa Perplexity run on the same day.
Regional expansion example: Swingvy
| Market / surface | Swingvy named? |
|---|---|
| Singapore — ChatGPT, Perplexity, Claude | No |
| Singapore — Google AI Overview | Yes |
| Malaysia — ChatGPT | Yes |
| Malaysia — Google AI Overview | Yes |
| Malaysia — Perplexity, Claude | No |
A Singapore HR vendor with Malaysia presence can appear in KL-focused AI answers while remaining absent from conversational AI in its home market. Visibility is per-engine and per-country — not per brand.
How research behaviour differs — beyond payroll
Payroll is a useful controlled test because compliance vocabulary forces local sources. The same pattern repeats across B2B categories Citable tracks:
1. Language splits the source pool
Singapore English prompts pull .sg listicles and government docs. Indonesian Bahasa prompts pull .id publishers that English content never touches. A single English ASEAN blog post does not serve Indonesia — it may not be retrieved at all.
2. Mobile-first markets prompt differently
In Indonesia and the Philippines, AI search adoption skews mobile and chat-interface-first — not desktop Google with an AI Overview box. Buyers expect a conversational answer, not ten blue links. Content structured for extraction (direct answer, comparison table, FAQ) wins; long-form narrative does not.
3. Google rank ≠ AI citation in every market
Singapore already shows Google AI Overview and conversational AI diverging on the same query. Enterprise B2B data globally suggests brands rank for thousands of keywords yet appear in only ~3% of relevant AI Overviews. ASEAN markets with thinner third-party coverage amplify the gap — fewer authoritative comparators means fewer vendor names enter AI answers at all.
4. Regional expansion vendors face a triple visibility problem
A Singapore Series A HR SaaS expanding to KL and Jakarta must answer:
- Are we named in Singapore ChatGPT prompts?
- Does a Malaysia-specific prompt return our
.myentity or a competitor? - Does a Bahasa Indonesia prompt surface us at all?
Three questions, three audits — not one “ASEAN SEO” campaign.
What this means for B2B vendors in Southeast Asia
If you sell to buyers: Treat AI-generated shortlists as the first filter. Cross-check any ChatGPT or Perplexity recommendation against local compliance requirements and a live demo — engines optimise for plausible answers, not your company’s fit.
If you sell software: Your regional expansion playbook needs a visibility layer. Before hiring local sales:
- Run the country-specific buyer prompts from this article in each market
- Record vendors named and domains cited across ChatGPT, Perplexity, Claude, and Google
- Identify whether the gap is language (no Bahasa content), authority (no third-party mentions), or entity confusion (SG domain cited for MY prompt)
- Build or sponsor neutral comparison content in each market — the asset type engines already prefer
Citable publishes Guides targeting buyer prompts and Visibility research explaining the mechanics. The payroll comparison for Singapore SMEs is an example of the content format engines extract from.
Replicate this audit for your category
Use the same structure: one buyer prompt per country, four engines, record vendor names and citation domains. Swap payroll for your vertical — cross-border payments, corporate cards, logistics software.
If you want Citable to run and interpret this across your category, request a free AI visibility audit.
Sources and methodology
All AI engine results are from a Citable cross-market audit on 26 June 2026 — one run per engine per prompt, target country region set where possible. Singapore data is reused from the Swingvy visibility audit (same date). Vendor names and citation domains in each section are taken directly from those runs.
Primary source
- Citable cross-market audit — Singapore payroll prompt, 26 June 2026 (ChatGPT, Perplexity, Claude, Google AI Overview)
- Citable cross-market audit — Malaysia and Indonesia payroll prompts, 26 June 2026 (ChatGPT, Perplexity, Claude, Google AI Overview)
References
- Why Singapore B2B companies are invisible in AI search (Citable) (retrieved 10 July 2026)
- Best payroll software for Singapore SMEs — 2026 comparison (Citable) (retrieved 10 July 2026)
- IRAS — Types of controls for payroll software (retrieved 26 June 2026)
- Perkeso — Employer registration and SOCSO contributions (retrieved 10 July 2026)
- DJP — PPh 21 withholding obligations (Indonesia) (retrieved 10 July 2026)
- Construct Digital — GEO strategy guide for SEA B2B marketers (2026) (retrieved 10 July 2026)
- Mavic AI — GEO in South East Asia 2026 marketer's playbook (retrieved 10 July 2026)
Frequently asked questions
- Do B2B buyers in Singapore, Malaysia, and Indonesia research software the same way?
- No. Singapore buyers typically research in English using ChatGPT, Perplexity, and Google AI Overview. Malaysia buyers mix English and Bahasa Malaysia, with strong desktop Google usage alongside conversational AI. Indonesia buyers increasingly prompt in Bahasa Indonesia, especially on mobile — which surfaces local .id publishers and domestic HR platforms that English-only prompts miss.
- Which AI engines matter most for B2B software research in ASEAN?
- ChatGPT has the largest global share, but Google Gemini is disproportionately important in Indonesia and the Philippines because of Android integration. Perplexity is heavily used for citation-backed B2B comparison prompts. Claude is a smaller share but useful as a sanity check. Google AI Overview remains critical in all three markets because it sits above traditional search.
- Why does the same payroll prompt return different vendors in each country?
- AI engines synthesise answers from sources available in each market's language and regulatory context. Singapore prompts pull CPF and IRAS documentation; Malaysia prompts pull EPF and LHDN sources; Indonesia prompts pull BPJS and PPh 21 guidance. Vendors with strong local compliance content and third-party mentions in each market appear; global HR suites appear inconsistently.
- Should a Singapore B2B SaaS company use one content strategy for all of ASEAN?
- No. Ranking in Singapore Google does not guarantee citation in Indonesian ChatGPT answers. Regional expansion requires market-specific comparison content, local compliance terminology, and visibility audits per country — not a single English blog post syndicated across markets.
- How did Citable test cross-market buyer behaviour?
- We ran the same buyer category — payroll and HR compliance software — with country-specific prompts across Singapore, Malaysia, and Indonesia on 26 June 2026. Each market was tested on ChatGPT, Perplexity, Claude, and Google AI Overview (plus a Bahasa Perplexity prompt for Indonesia). Results are summarised in the comparison tables below.
- What should a B2B vendor do before expanding from Singapore to Malaysia or Indonesia?
- Run the exact prompts your buyers would type in each market across ChatGPT, Perplexity, Claude, and Google. Record who appears, which sources get cited, and whether your brand is named. That baseline reveals whether the gap is language, authority, or discoverability — before you spend on localisation or sales hires.
Keep reading
Did Claude start showing sponsored content? What we found in a Singapore logistics audit — and why it matters for B2B visibility
Claude cited a Value Chain Asia article labeled "Sponsored Content" on a Singapore logistics prompt. We checked if anyone else reported it.
Singapore Payroll AI Visibility Index — baseline (June 2026)
Baseline index: which Singapore payroll vendors appear in ChatGPT, Perplexity, Claude, and Google AI Overview when buyers ask for CPF and IRAS compliance.