The Singapore AI Visibility Index — 25 Brands Ranked by AI Search Presence

We audited 25 Singapore tech and AI companies for AI search visibility. The average score is 57 out of 100, the lowest of the three cities BrandCited has indexed in April 2026. Only one brand, Sea Limited, scored above 88. Eighteen of the 25 brands score below 70, meaning ChatGPT, Gemini, and Perplexity cannot form a complete entity picture for them when users research their category. Here is the full ranking.

How we built the index#

BrandCited is an AI visibility intelligence platform that monitors AI platforms for brand citations and shows you exactly what to fix to appear more often in AI-generated answers. For this index, BrandCited applied a 6-signal technical audit to each of the 25 domains: presence of an llms.txt file, AI crawler permissions in robots.txt, Organization schema markup on the homepage, homepage accessibility, a populated meta description, and homepage content depth above 300 words. Each signal contributes a fixed point value to the overall score, with a maximum of 100.

The 25 brands were selected from Singapore's most active tech sectors: fintech, super apps, logistics tech, AI infrastructure, and digital payments. Sources used: e27's Southeast Asia tech database, Tech in Asia startup coverage, Crunchbase Singapore company search, Enterprise Singapore's startup directory, and G2's Asia-Pacific software vendor listings. Run a free full audit at brandcited.ai.

What the Singapore AI Visibility Index found#

• Only 1 of 25 brands (4%) scored above 88 out of 100, the threshold BrandCited associates with consistent AI citations across ChatGPT, Gemini, and Perplexity.
• 96% of brands (24 of 25) are missing an `llms.txt` file, the AI-specific discoverability file that tells crawlers who you are, what you do, and which content carries the most authority. Sea Limited is the only exception.
• 64% of brands (16 of 25) have no Organization schema markup on their homepage, leaving AI models to infer entity identity from unstructured page text.
• The average score across all 25 Singapore brands was 57 out of 100, making Singapore the lowest-performing city in this series. Silicon Valley averaged 62, London averaged 59. Singapore's large and established tech companies score well, but the long tail of startups and scale-ups drags the average down.
• The most consistent pattern: Singapore fintech and payments brands outperform AI and logistics companies. Grab, Nium, and Airwallex all score 75 or above. Meanwhile, AI-focused companies like ADVANCE.AI (65), Trax (60), and Osome (50) score below the brands they technically out-engineer on AI capability.

The full Singapore AI Visibility Index ranking#

Brands marked "est." received a quick 6-signal audit. Run a free full audit at brandcited.ai to see your complete score across 30+ signals.

What the top Singapore brands are doing right#

Sea Limited scores 90 out of 100, the highest score in this index. Sea operates three businesses at scale — Garena (gaming), Shopee (e-commerce), and SeaMoney (financial services) — across nine markets in Southeast Asia and beyond. Their corporate site reflects the technical standards of a NYSE-listed technology group. Sea is the only Singapore brand in this index with an llms.txt file, placing them alongside Stripe, Perplexity, OpenAI, and DeepMind as the few major brands that have implemented the AI discoverability standard. Organization schema is present with sameAs references linking to major financial data sources and verified social profiles. Partial AI crawler restrictions on certain investor-relations and legal sections trim their score from a potential 100 to 90.

Grab scores 80 out of 100. The NASDAQ-listed super app serves over 35 million monthly transacting users across eight Southeast Asian countries. Grab passes five of the six key signals: Organization schema is present on their homepage, all major AI crawlers have full access, homepage content exceeds 300 words of clear product and market description, and meta descriptions are populated. The one gap is llms.txt. Grab has invested heavily in AI across its platform — predictive demand for ride-hailing, personalisation in food delivery, fraud detection in payments. The absence of llms.txt on their marketing site is a straightforward fix for a team with the technical depth to deploy it in an afternoon.

Razer scores 80 out of 100 with the same signal profile as Grab. The Singapore-listed gaming brand has a consumer-facing marketing site that passes the key structured data requirements. Organization schema is present with sameAs links to their Hong Kong Stock Exchange listing and verified social accounts. All AI crawlers are permitted. Homepage content covers Razer's product lines, fintech services via RazerPay, and brand story in clear prose. Like Grab, the only missing signal is llms.txt. Razer sells directly to tech-native consumers — the exact audience most likely to use AI search tools — making this the highest-return fix available to them.

The most common AI visibility gaps in Singapore#

llms.txt is a plain-text file at your domain root that tells AI crawlers who you are, what you do, and which pages carry authority. Only Sea Limited has one in this index. The other 24 brands leave AI models to construct their entity understanding from unstructured page content.

This gap matters more in Singapore than in some markets because Singapore companies typically serve multiple countries under a single brand. AI models need clear entity declarations to avoid confusing Grab with other ride-hailing apps, Nium with other payments platforms, or Carousell with other marketplaces. A well-structured llms.txt clarifies the geographic scope and product positioning in a way that page text alone cannot.

Here is a minimal template:

# llms.txt for [Company Name]

## About
[Company Name] is a [one-sentence description: what you are, what you do, who you serve].

## Key pages
- Homepage: https://[yourdomain.com]/ — overview of the product
- Product: https://[yourdomain.com]/product — feature details
- Pricing: https://[yourdomain.com]/pricing — plan and pricing
- Blog: https://[yourdomain.com]/blog — research and guides

## What we do
[Two or three sentences. Direct, factual language. No marketing copy. AI models use this text when answering questions about your company.]

Organization schema is a JSON-LD declaration on your homepage that gives AI models your brand name, URL, description, founding date, and social profiles in machine-readable format. Without it, AI models build inferences about your brand from unstructured text. For Singapore companies operating across Southeast Asian markets, the sameAs field is particularly valuable — linking to your exchange filings, MAS-regulated entity listings, and Crunchbase profile gives AI models cross-referenced data that anchors your entity.

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company Name",
  "url": "https://yourdomain.com",
  "description": "One sentence: what you are and what you do.",
  "foundingDate": "2016",
  "sameAs": [
    "https://linkedin.com/company/your-company",
    "https://twitter.com/yourhandle",
    "https://crunchbase.com/organization/your-company"
  ]
}

BrandCited's data shows Organization schema is the single highest-impact fix for brands scoring below 65. It addresses entity resolution directly and takes under an hour to implement.

Nine brands in this index have homepages with fewer than 300 words of visible prose — a higher proportion than Silicon Valley (28%) or London (24%). Singapore's startup culture often prioritises product launches over content, resulting in homepage designs built around demo CTAs and feature grids rather than explanatory text.

PatSnap, ADVANCE.AI, Smartkarma, Homage, Aspire, CardUp, Sleek, Validus, Jenfi, and Reebonz all have this gap. The fix is making sure the homepage answers five questions in plain prose:

1. 1What is this company?
2. 2What does it do?
3. 3Who does it serve?
4. 4What problem does it solve?
5. 5What makes it different?

Three hundred words of factual answers is enough. Testimonial sliders and feature icon rows do not count. AI models read prose, not layout.

How does your brand rank?#

We audited 25 Singapore tech brands. If yours is not on the list, or received an estimated score, run a free full audit at brandcited.ai. BrandCited checks 30+ signals across five categories and shows your complete score in 30 seconds, with every issue ranked by impact.

The brands that scored best in this index share one trait: they invested in structured, machine-readable web infrastructure before it became an obvious priority. Sea Limited, Grab, and Razer all pass the same foundational signals for the same reason — they built their marketing sites to the same engineering standard they apply to their products.

Run a free AI visibility audit at brandcited.ai. Your score across 9 AI platforms in 30 seconds, every issue ranked by impact.

Frequently asked questions#

The Singapore AI Visibility Index is a BrandCited research report ranking 25 Singapore-based tech companies by their AI search visibility score. BrandCited is an AI visibility intelligence platform that monitors AI platforms for brand citations. The index checks six technical signals per domain and produces a score from 0 to 100. BrandCited publishes city-level indexes to help brands benchmark AI visibility against market peers.

Singapore's average score of 57 out of 100 is lower than both Silicon Valley (62) and London (59) from BrandCited's April 2026 city indexes. The gap is driven by a larger proportion of thin-homepage startups and fewer brands with Organization schema. Singapore's top brands — Sea Limited, Grab, Razer — match top-tier brands in other cities. The difference is in the middle and bottom of the rankings. BrandCited publishes monthly city-level AI visibility reports across major tech hubs.

Established fintech companies like Grab, Nium, and Airwallex have invested in enterprise-grade marketing infrastructure including structured data, strong homepage content, and well-configured robots.txt files. Younger AI and SaaS companies often prioritise product velocity over web infrastructure, resulting in sites with thin content and no structured data. BrandCited's audit identifies these gaps regardless of company type and shows exactly what to fix.

Add Organization schema to your homepage layout, publish an llms.txt file at your domain root, and confirm GPTBot and PerplexityBot have access in your robots.txt. These three changes address the most common gaps in this index. After implementing, run a BrandCited audit to confirm the changes are detected. Most brands see measurable improvement in AI citation rates within four to six weeks.

MAS regulations affect what financial content you can publish, but they do not require blocking AI crawlers or omitting Organization schema. Many Singapore fintech brands have partial crawler restrictions in robots.txt that appear to stem from data protection decisions rather than regulatory requirements. BrandCited's audit identifies which restrictions hurt AI visibility and which are necessary. In most cases, restrictions can be narrowed to apply only to customer-facing data pages rather than the public marketing site.

Manual testing — asking ChatGPT "what is [company]?" and noting the response — gives a point-in-time result on one platform. BrandCited tests your brand across 9 AI platforms weekly, tracks citation rates over time, and benchmarks results against Singapore and regional competitors. Manual testing misses platform-specific patterns and takes hours per session. BrandCited surfaces those patterns across all platforms and tells you which signal to fix first.