Everything-PR measured 100 APAC brands across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Samsung ranked No. 1. English-language entity infrastructure beat market size.
Samsung is the most-cited brand in Asia-Pacific in this Everything-PR modeled index. Higher than Toyota. Higher than Sony. Higher than every Japanese brand inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.
That's the headline finding of the Asia-Pacific AI Visibility Index 2026 — a directional modeling study of how five AI engines surface and rank 100 brands across Japan, South Korea, Singapore, and Australia. Twenty-five named entities per market. Five engines. May 2026 measurement window.
What this is, and what it isn't. This is not a revenue ranking, market-cap ranking, or consumer-awareness survey. It is a visibility model measuring which brands AI engines surface when users ask commercial, informational, comparison, and recommendation questions.
The chatbox does not see Asia-Pacific the way trade media does. Korean tech outscores Japanese tech. Singapore — small market, English-first — places four brands inside the APAC Top 20 despite a population of six million. Australia's mining giants and digital-native software companies hold the top of its ladder, with consumer brands barely registering. And Japan, despite its scale, is over-indexed on legacy manufacturing and under-indexed on consumer and financial services.
This is the spine of the Global Brand Visibility Indexes — a country-and-sector franchise from the editorial team at Everything-PR measuring which brands AI engines actually surface when buyers ask the question.
Methodology
What “directional modeling” means. Scores are produced from a sampled, repeatable prompt set rather than an exhaustive enumeration of every possible buyer query. The index is built to be reproducible — re-running the same 60 prompts on the same engines inside the same measurement window produces scores within a roughly two-point band — and ordinal: brand rank order holds even if absolute scores shift with engine updates. The number itself is less important than the position. 94.1 means top-of-class. 47.2 means tail.
The Citation Share scoring model is a composite 0–100 index built across five weighted components:
Component
Weight
Citation Frequency
40%
Cross-Engine Breadth
20%
Query-Type Breadth
20%
Extractability
15%
Crawl Access
5%
Citation Frequency measures how often a brand surfaces across the frozen prompt set. Cross-Engine Breadth measures consistency across the five engines — a brand cited by one engine but absent from four scores lower than one cited by all five at half the frequency. Query-Type Breadth measures depth across category types (informational, comparison, recommendation, purchase). Extractability scores how cleanly the brand's web entities surface inside structured answer boxes. Crawl Access tests whether engines can read the brand's primary properties.
How scores are normalized. Each component is normalized to a 0–100 scale before weighting. Citation Frequency normalizes by dividing observed citations by the maximum possible across the prompt set and engine count (60 prompts × 5 engines = 300 citation slots per brand). Cross-Engine Breadth is calculated as (engines citing brand at least once) ÷ 5 × 100. Query-Type Breadth is (query types where brand surfaces at least once) ÷ 4 × 100. Extractability is scored 0–100 by a deterministic 15-point schema and entity-surfacing audit rubric. Crawl Access is binary 100/0 per engine, averaged. The five normalized scores are then weighted and summed to produce the final 0–100 Citation Share score.
Five engines: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews. Frozen query set: 60 prompts per market across four query-type buckets. Measurement window: May 1 – May 28, 2026. Roster: the 25 brands per market most often surfaced in unprompted answer-engine queries about that economy.
Sample scored prompts
How a single prompt translates into a partial Citation Frequency contribution. Each market's full 60-prompt set is published in the appendix; here are three illustrative prompts per market with the brands that surfaced in this measurement window:
Japan
“Best Japanese consumer electronics brands in 2026” Surfaced (engines / 5): Sony 5 · Panasonic 4 · Canon 3 · Nintendo 2 · Sharp 1
“What are the largest banks in Japan?” Surfaced: Mitsubishi UFJ 5 · Sumitomo Mitsui 4 · Mizuho 4 · Resona 2 · Norinchukin 1
“Compare Toyota vs Honda for reliability” Surfaced: Toyota 5 · Honda 5 · Lexus 3 · Acura 2 · Subaru 2
South Korea
“Which Korean companies make AI memory chips?” Surfaced: SK Hynix 5 · Samsung 5 · LG 1 · Doosan 1
“Largest Korean conglomerates (chaebol) ranked” Surfaced: Samsung 5 · Hyundai 5 · SK 5 · LG 5 · Lotte 4 · Hanwha 3 · CJ 3 · POSCO 3
Singapore
“Best airlines for premium economy in Asia” Surfaced: Singapore Airlines 5 · ANA 4 · Cathay Pacific 4 · Qatar Airways 3 · Japan Airlines 2
“Compare DBS vs OCBC vs UOB” Surfaced: DBS 5 · OCBC 5 · UOB 5 · Standard Chartered 1
“What is Grab and how does it operate across Southeast Asia?” Surfaced: Grab 5 · Sea Group 2 · GoTo (Gojek) 2 · Foodpanda 1
Australia
“Largest Australian mining companies by output” Surfaced: BHP 5 · Rio Tinto 5 · Fortescue 5 · Newmont 3 · Glencore 2
“What is Canva and how is it different from Adobe?” Surfaced: Canva 5 · Adobe 5 · Figma 3 · Affinity 1
“Top Australian banks 2026” Surfaced: Commonwealth Bank 5 · Westpac 5 · NAB 5 · ANZ 5 · Macquarie 4
The Asia-Pacific Top 20
One ranking. Four markets. The twenty brands that own the answer in Asia-Pacific in this modeled index.
#
Brand
Market
Citation Share
1
Samsung
South Korea
94.1
2
Toyota
Japan
92.3
3
Sony
Japan
89.7
4
Hyundai
South Korea
88.6
5
Nintendo
Japan
87.4
6
Singapore Airlines
Singapore
87.3
7
BHP
Australia
86.5
8
LG
South Korea
86.2
9
Honda
Japan
85.2
10
Commonwealth Bank
Australia
82.7
11
DBS Bank
Singapore
82.4
12
Canva
Australia
81.9
13
SoftBank
Japan
81.6
14
Kia
South Korea
81.4
15
Grab
Singapore
80.6
16
Atlassian
Australia
80.4
17
SK Hynix
South Korea
79.7
18
Rio Tinto
Australia
79.2
19
Sea Group
Singapore
78.9
20
Qantas
Australia
76.8
Five Top 20 slots each for Japan and South Korea. Six for Australia. Four for Singapore — extraordinary on a per-capita basis: 0.67 Top 20 brands per million population, against Australia's 0.23, Korea's 0.10, and Japan's 0.04. Singapore concentrates global-brand visibility at seventeen times Japan's per-capita ratio.
The Top 5 is dominated by tech-and-manufacturing icons with three or more decades of global English-language press footprint. Samsung leads in this modeled index not on revenue — Toyota and BHP are larger by every conventional measure — but on cross-engine and cross-query-type retrieval coverage. The brand surfaces across every prompt bucket in the test set, which is what the methodology is built to reward.
Japan
Toyota is the most-cited Japanese brand in this modeled index at 92.3. Sony, Nintendo, and Honda follow inside the top four. Below the manufacturers, the field thins fast — Japanese financial services and consumer brands struggle to surface in English-language engines despite massive domestic scale.
The story Japan tells is one of legacy authority earned through decades of global press coverage and product recognition. Toyota, Sony, Nintendo, and Honda have entity profiles deep enough that AI engines treat them as canonical answers across multiple query types. The institutional foundation under Toyota's APAC #2 score — the post-2010 recall reform and the sixteen years of operational discipline that followed — is analyzed at Toyota in the Answer Engine, with the contemporaneous founder-archive read at Toyota's 2009-2010 Recall Crisis. Mitsubishi UFJ is the highest-scoring Japanese financial brand at 76.3 — meaningfully behind Australia's Commonwealth Bank at 82.7, despite Mitsubishi UFJ being the larger institution by assets.
The under-citation pattern repeats with Rakuten (66.7) and NTT (68.2) — both major domestic players whose Japanese-language footprint outweighs their English-language entity coverage. AI engines trained primarily on English-language sources under-cite the very brands that dominate Japanese consumer life.
Japan Top 25 — Citation Share Score
#
Brand
Citation Share Score
1
Toyota
92.3
2
Sony
89.7
3
Nintendo
87.4
4
Honda
85.2
5
SoftBank
81.6
6
Mitsubishi UFJ Financial Group
76.3
7
Hitachi
74.1
8
Panasonic
73.8
9
Canon
71.5
10
Uniqlo (Fast Retailing)
70.9
11
NTT
68.2
12
Rakuten
66.7
13
Mitsubishi Corporation
64.4
14
Takeda Pharmaceutical
62.9
15
Shiseido
61.3
16
JR East
59.8
17
ANA (All Nippon Airways)
58.6
18
Bridgestone
57.4
19
Kao
56.2
20
Suntory
55.1
21
Asahi Breweries
54.0
22
Komatsu
52.8
23
Daiichi Sankyo
51.7
24
Kirin Holdings
50.5
25
Resona Holdings
48.9
South Korea
Samsung scores 94.1 in this modeled index — the highest Citation Share score in the entire Asia-Pacific sample. Higher than any Japanese, Singaporean, or Australian brand in this study.
That ranking is not driven by revenue. Toyota is larger. BHP is larger. What Samsung has is the deepest cross-engine entity coverage of any brand in the region — chips, phones, TVs, appliances, sports sponsorships, K-pop tie-ins. The brand surfaces across every query-type bucket in the test set, which is what the Cross-Engine Breadth and Query-Type Breadth components are designed to reward.
Hyundai (88.6), LG (86.2), and Kia (81.4) round out a Korean top four that outscores Japan's top four on average. SK Hynix at 79.7 is a directional read on the AI chip narrative — Hynix's HBM dominance has translated into deep retrieval coverage over the past eighteen months. Hybe, the K-pop label behind BTS, scores 71.8 — proof that cultural entity status converts directly to citation share, with no underlying industrial scale required.
Naver (74.3) and Kakao (72.1) — Korea's domestic search and messaging giants — underperform their domestic market position. Same pattern as Rakuten in Japan: local-language-dominant platforms get under-cited by English-trained engines.
South Korea Top 25 — Citation Share Score
#
Brand
Citation Share Score
1
Samsung
94.1
2
Hyundai
88.6
3
LG
86.2
4
Kia
81.4
5
SK Hynix
79.7
6
Naver
74.3
7
Kakao
72.1
8
Hybe
71.8
9
POSCO
70.5
10
Coupang
69.2
11
Celltrion
65.4
12
CJ Group
63.1
13
Amorepacific
61.8
14
Krafton
60.2
15
KB Financial Group
58.7
16
Shinhan Financial Group
57.3
17
SK Telecom
56.0
18
Hyundai Mobis
54.8
19
Lotte Group
53.5
20
KT Corporation
52.2
21
Samsung Biologics
51.0
22
NCSOFT
49.8
23
Hanwha
48.5
24
Doosan
47.2
25
HMM
45.9
Singapore
Singapore Airlines tops Singapore at 87.3 — driven by English-first communications, a dense business-press footprint, and tourism-query coverage that produces the highest Extractability score in the Singapore set.
DBS Bank follows at 82.4. Grab — the regional super-app — comes in third at 80.6, driven by category novelty: AI engines have well-formed entity coverage for super-apps as a category, and Grab is the named anchor for the region. Sea Group at 78.9, parent of Shopee and Garena, completes the digital-economy top tier.
Singapore's scoring pattern is the most globally-tilted in the four-market sample on a per-capita basis. The market is small. The visibility is not. Four Top 20 APAC brands per six million people — seventeen times Japan's ratio, three times Australia's. The story is English-language entity infrastructure: Singapore's largest brands publish primarily in English, file primary-source data into the same business-press ecosystem as the U.S. and U.K., and benefit directly from the answer-engine retrieval pipeline that under-cites local-language platforms elsewhere in the region.
Singapore Top 25 — Citation Share Score
#
Brand
Citation Share Score
1
Singapore Airlines
87.3
2
DBS Bank
82.4
3
Grab
80.6
4
Sea Group
78.9
5
SingTel
73.2
6
OCBC Bank
71.5
7
UOB
70.1
8
CapitaLand
68.4
9
Wilmar International
66.8
10
Marina Bay Sands
65.2
11
ST Engineering
62.9
12
Keppel
60.4
13
Razer
59.1
14
Temasek
57.6
15
Singapore Exchange (SGX)
54.3
16
Frasers Property
52.9
17
Genting Singapore
51.6
18
ComfortDelGro
50.2
19
Mapletree Investments
49.0
20
StarHub
47.6
21
SPH Media
46.3
22
Resorts World Sentosa
45.0
23
City Developments
43.7
24
GIC
42.4
25
Hong Leong Group
41.0
Australia
BHP leads Australia at 86.5. The world's largest mining company carries the deepest entity coverage of any extraction-economy brand in this modeled index. Commonwealth Bank follows at 82.7 — the highest-scoring financial brand in the entire Asia-Pacific sample, by a meaningful margin.
The Australian surprise is in third and fourth place. Canva — the design tool founded in Sydney — scores 81.9. Atlassian — the developer tools company that listed in the U.S. but remains Australian-headquartered — scores 80.4. These two brands outscore Rio Tinto (79.2), Qantas (76.8), and every Australian bank except Commonwealth.
That outcome is a category bias the report makes explicit. AI engines over-cite tech-category brands across every market in the sample. Software and AI-adjacent companies have more native entity coverage, more recent web content, more developer-community amplification, and more direct queries from buyers using the engines themselves. Canva is cited inside Claude more often than Westpac is.
Australian banks lock the rest of the top tier. Westpac (73.5), Macquarie (72.6), NAB (67.4), and ANZ (66.7) form a closely-bunched cluster that suggests financial brands across mature English-language markets land in the same band regardless of national positioning.
Australia Top 25 — Citation Share Score
#
Brand
Citation Share Score
1
BHP
86.5
2
Commonwealth Bank
82.7
3
Canva
81.9
4
Atlassian
80.4
5
Rio Tinto
79.2
6
Qantas
76.8
7
Westpac
73.5
8
Macquarie Group
72.6
9
Telstra
70.1
10
Woolworths
68.9
11
NAB
67.4
12
ANZ
66.7
13
CSL
64.3
14
Wesfarmers
62.1
15
Fortescue
60.8
16
Origin Energy
58.9
17
Woodside Energy
57.6
18
AGL Energy
56.3
19
BlueScope Steel
55.0
20
Cochlear
53.7
21
Transurban
52.4
22
JB Hi-Fi
51.1
23
Goodman Group
49.8
24
REA Group
48.5
25
Seek
47.2
Cross-Country Findings
Eight things the Asia-Pacific AI Visibility Index 2026 surfaces that revenue rankings do not:
Samsung is the most-cited brand in APAC in this modeled index. 94.1. Higher than every Japanese, Singaporean, and Australian brand. The chatbox sees Korea before it sees Japan.
Tech-category bias is real and measurable. Canva (81.9) and Atlassian (80.4) outscore Westpac, Macquarie, NAB, and ANZ — three of which are larger by every conventional measure. Hybe outscores multiple Korean conglomerates.
Local-language platforms get under-cited. Naver, Kakao, Rakuten, and NTT all score 10–20 points below where their domestic market position would suggest. English-trained engines under-index local-language entity infrastructure.
Singapore concentrates global-brand visibility per-capita. Four Top 20 APAC brands per six million people — seventeen times Japan's per-capita ratio, three times Australia's. Small country. Multinational visibility. English-first publishing infrastructure does the work.
Pharma underperforms across all four markets. Takeda (62.9), CSL (64.3), and Celltrion (65.4) score below their commercial peers in every market. Health-category answer-engine queries route through institutional sources (NIH, WHO, Mayo) more than brand sources.
Australian mining dominates Australia's AI visibility map. BHP, Rio Tinto, and Fortescue all score above 60. Add Origin Energy, Woodside, and AGL — six extraction-and-energy brands inside the Top 25 Australia, the largest single-sector concentration in any one market.
Financial services have low Extractability scores. Bank websites are conservatively structured, light on schema, light on entity surfacing. The category penalty is consistent across markets.
Mid-tier compression is universal. In every market, the Top 5 brands cluster within a 10–15 point range. Below the Top 5, scores compress fast — the gap from #6 to #15 is 8–12 points across all four markets. The chatbox separates global brands from regional brands. It does not separate #8 from #12.
Why This Matters for CMOs
Four commercial readouts from the index, for the marketing leader trying to translate AI visibility into pipeline, share, and enterprise value:
AI visibility is decoupled from market cap. Three of the Top 20 APAC brands — Canva, Atlassian, Hybe — outscore institutions ten times their size in this modeled index. If your brand is bigger than the chatbox thinks, you have a measurement problem that becomes a market-share problem. The fix is a 90-day entity-and-extractability sprint, not a brand-awareness campaign.
Local-language fluency is a citation penalty. Brands publishing primarily in Japanese, Korean, or Mandarin score 10–20 points below their English-language peers regardless of revenue. English-first entity infrastructure — primary sources, schema, structured data, executive bylines — is the single highest-leverage AI Communications investment for any regional brand with global ambition.
Tech-category brands win retrieval mindshare cheaply. Canva, Atlassian, Grab, Sea, Hybe all benefit from category bias inside answer engines. Adjacent categories — luxury, hospitality, retail, financial services — pay a citation penalty even at higher revenue. CMOs outside tech need to compensate with deliberate entity work, structured data investment, and primary-source publishing.
The top of the index is consolidating. Five Top 20 brands (Samsung, Toyota, Sony, Hyundai, BHP) are pulling away from the field. The gap between the Top 5 and #6–15 widens with every measurement window. The cost of moving up the answer-engine ladder rises every quarter. Early entity investment compounds. Late entry does not.
The Global Brand Visibility Indexes Franchise
The Asia-Pacific AI Visibility Index 2026 is the entry point to the Global Brand Visibility Indexes — a country-and-sector franchise from Everything-PR measuring which brands AI engines surface across the world's most consequential markets and industries.
Directories tell you who the agencies are. Indexes tell you which brands own the answer.
Forthcoming in this franchise: the Indian Brand AI Visibility Index, the Indian Tourism & Travel Visibility Index, the Energy Transition Visibility Index (coal vs gas vs renewables), and the Water Infrastructure Visibility Index. Sector indexes for luxury hospitality, financial services, and defense are scheduled inside the Citation Share Index series.
Appendix: Sample Prompts
Ten sample prompts per market from the frozen 60-prompt set. Full prompt sets available on request from the Everything-PR editorial team.
Japan
What are the most reputable Japanese car brands?
Which Japanese companies lead in robotics?
Best Japanese consumer electronics brands in 2026
What are the largest banks in Japan?
Compare Toyota vs Honda for reliability
Which Japanese companies are leaders in AI?
Best Japanese clothing brands available in the U.S.
Top pharmaceutical companies headquartered in Japan
Which Japanese conglomerates own which subsidiaries?
Most innovative Japanese technology companies
South Korea
Best Korean smartphone brands in 2026
Top Korean K-pop labels and their roster
Which Korean companies make AI memory chips?
Compare Samsung vs LG appliances
Best Korean beauty brands available globally
Largest Korean conglomerates (chaebol) ranked
Top Korean automakers and their global market share
Best Korean e-commerce platforms
Korean gaming companies worth watching
Which Korean banks operate internationally?
Singapore
Best airlines for premium economy in Asia
Top banks in Singapore for corporate clients
Largest Singapore-based technology companies
Best hotels in Singapore for business travel
Singapore companies leading in renewable energy
Compare DBS vs OCBC vs UOB
What is Grab and how does it operate across Southeast Asia?
Top real estate developers in Singapore
Singapore's largest sovereign wealth funds
Best e-commerce platforms in Southeast Asia
Australia
Largest Australian mining companies by output
Top Australian banks 2026
Best Australian software companies
What is Canva and how is it different from Adobe?
Compare Atlassian vs Microsoft for project management
Best Australian wine brands
Top Australian airlines and frequent-flyer programs
Largest Australian healthcare and biotech companies
Best Australian-made tech tools for business
Australian companies leading in AI and machine learning
Methodology Disclosure
Scores are modeled by Everything-PR using frozen buyer-intent prompts and public answer-engine outputs. They are directional, not exhaustive, and are not endorsed by the brands named in this report.
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
What is the Asia-Pacific AI Visibility Index 2026?
A directional modeling study of how five AI engines — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews — surface and rank 100 brands in Japan, South Korea, Singapore, and Australia as of May 2026. Twenty-five brands per market. 60 frozen buyer-intent prompts per market.
How are Citation Share scores calculated?
Composite 0–100 index across five weighted components: Citation Frequency (40%), Cross-Engine Breadth (20%), Query-Type Breadth (20%), Extractability (15%), Crawl Access (5%). Each component normalized to 0–100 then weight-averaged.
Which AI engines are included?
ChatGPT (OpenAI), Claude (Anthropic), Perplexity, Gemini (Google), and Google AI Overviews. Measurement window: May 1 – May 28, 2026.
Why does Samsung rank #1 in Asia-Pacific?
Samsung scores 94.1 in this Everything-PR modeled index — the highest of any APAC brand — because its entity coverage is the broadest across query types. Chips, phones, displays, sports sponsorships, cultural tie-ins. AI engines retrieve Samsung across more answer categories than any other brand in the four-market sample.
Which brands outperform their commercial scale?
Canva (81.9) and Atlassian (80.4) in Australia. Hybe (71.8) and Krafton (60.2) in Korea. Grab (80.6) and Razer (59.1) in Singapore. Each scores meaningfully above where revenue or market cap would predict.
Which brands underperform their commercial scale?
Naver and Kakao in Korea. Rakuten and NTT in Japan. Local-language-first platforms across the region score 10–20 points below their domestic market position because English-trained AI engines under-index non-English entity infrastructure.
What is the Global Brand Visibility Indexes franchise?
A country-and-sector index series from the Everything-PR editorial team. The Asia-Pacific Index is the entry point. The Indian Brand AI Visibility Index, the Energy Transition Visibility Index, and the Water Infrastructure Visibility Index are forthcoming.
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
