Field note 01 · measured July–August 2026

Same hotel, different universe.

We asked eight AI answer engines — four Western, four Chinese — the questions travellers actually ask about Phuket. The two halves of the AI market named different winners, and they reasoned from different evidence entirely. A Western-only audit sees half the picture.

What we measured

  • 494 live answers across two Phuket cohorts: luxury resorts (373 answers; 164 Western / 209 Chinese; 14 Jul – 1 Aug 2026) and wellness & longevity (121; 50 / 71; 14 Jul 2026).
  • 18 questions per cohort, drawn from our buyer-intent taxonomy — category, local, comparison, transactional. Questions naming any specific property were excluded from every figure here, so no brand is inflated by questions asked about it.
  • Engines: Perplexity, ChatGPT (Search), Claude, Gemini · DeepSeek, Qwen, GLM, Kimi — each consumed through its standard API, the way software integrations and agents consume them. Repeat-sampled; every answer stored verbatim.
  • Figures match the live Hotel AI Index; scoring vocabulary is published at /methodology. This note is frozen to its measurement window.

Finding 1 — the two halves crown different winners

In the wellness cohort, RAKxa Integrative Wellness appears in 32% of Western-engine answers — it was Gemini’s single most frequent first pick, eight times — yet reaches just 4% of Chinese-engine answers. The mirror image: Kamalaya is the Chinese engines’ favourite at 49%, double its Western share. Six Senses Yao Noi appeared in zero Western wellness answers while Chinese engines named it in 13%.

RAKxa Integrative Wellness32%4%Kamalaya24%49%Chiva-Som32%38%Six Senses Yao Noi0%13%Thanyapura Health & Sports2%10%

Western engines    Chinese engines · share of that side’s answers naming the property

The luxury cohort agrees at the very top — Trisara and Amanpuri lead on both sides — then splits underneath: Rosewood Phuket nearly doubles its share on Chinese engines (27% → 48%), and COMO Point Yamu is five times more visible to Chinese engines than Western ones.

Trisara62%79%Amanpuri59%76%Rosewood Phuket27%48%Sri Panwa13%25%COMO Point Yamu2%11%

Western engines    Chinese engines · share of that side’s answers naming the property

Ask the West’s engines about wellness in Phuket and RAKxa keeps coming back first. Ask China’s, and it’s Kamalaya. Same question, different universe.

Finding 2 — 2,087 citations versus zero

Across both cohorts, the Western engines grounded their answers in 2,087 cited sources over 217 answers — roughly ten citations per answer. The four Chinese engines, consumed through the same standard APIs, produced zero citations across 286 answers. Every recommendation they made came from what their models already know, not from anything they looked up.

2,087sources cited · 4 Western engines · 217 answers
0sources cited · 4 Chinese engines · 286 answers

Scope, stated plainly: this measures the engines as their APIs serve them — the form most integrations, agents and embedded assistants consume. Consumer apps for Qwen or Kimi can layer web search on top. The measured point stands either way: the Chinese models’ internalised knowledge of a property did the recommending, and it decided the answers above.

Finding 3 — where the Western answers come from

The Western engines’ wellness answers leaned on a small, concrete set of sources: TripAdvisor, World Spa Awards, Healing Holidays, BookRetreats, health.travel, specialist press like The Hotel Journal — and the properties’ own sites (chivasom.com, rakxawellness.com). Gemini additionally wraps most of its citations in its own grounding redirector, which we count but do not name as a source.

That list is an instruction: it is the earnable surface. Presence on those exact domains is what a Western engine can retrieve and cite next quarter.

What we think it means

This section is interpretation; everything above is measurement.

  • These are two different games. Western visibility is a retrieval game — earn citations on the sources engines actually read, and answers can change within a quarter. Chinese visibility is a knowledge game — the model either learned your property or it didn’t, which moves slowly and rewards sustained presence in the Chinese-language ecosystem: travel platforms, encyclopedic entries, booking presence, editorial coverage the training corpus sees.
  • A Western-only audit misses the larger half of some markets. In both cohorts the Chinese engines produced more answers naming more properties — and for hotels whose source markets include China, those are the answers deciding real itineraries.
  • Divergence is opportunity, in both directions. RAKxa’s 32/4 split is a Chinese-ecosystem gap; Kamalaya’s 24/49 is a Western-citation gap. Neither shows up in a single blended score — which is why we report every property per engine, per side.

Limits

One destination, two cohorts, 494 answers, one measurement window — engines update continuously, and these figures will drift. Repeat sampling narrows but does not eliminate answer variance. And AI visibility is measured presence in answers, not bookings: we make no revenue claims here. The quarterly Index is where movement gets tracked.

Where does your property sit in each universe?

The audit runs your guests’ real questions across all eight engines and shows both halves side by side — verbatim, scored, benchmarked.

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