notableReviewed Mon Nov 02

Gemini hotel citation audit finds query intent shifts OTA versus non-OTA source shares in Tokyo

An original March 2026 audit of 156 paired Tokyo hotel prompts to Gemini 2.5 Flash with Google Search grounding classified 1,357 cited pages as OTA or non-OTA. Experiential queries produced a higher share of non-OTA citations than transactional queries (55.9% versus 30.8%).

Context

An original March 2026 audit of 156 paired Tokyo hotel prompts to Gemini 2.5 Flash with Google Search grounding classified 1,357 cited pages as OTA or non-OTA. Experiential queries produced a higher share of non-OTA citations than transactional queries (55.9% versus 30.8%).

What changed

The preprint supplies a documented, bilingual, intent-paired audit of intermediary source selection in one travel market. It reports a 25.1 percentage-point difference in non-OTA grounding citation share by prompt framing, while separately examining a small sample of hotel-owned site content.

Why it matters

AI citation exposure in intermediary-heavy categories can depend on whether a query seeks a bookable attribute or a traveler experience. Visibility measurement should segment by intent, language and source class, without equating a grounding citation to traffic or booking.

Visibility OS interpretation

Visibility OS interpretation: audit AI discovery funnels by transactional versus experiential intent and by direct versus intermediary source type. This study suggests a measurement distinction, not a proven content optimization intervention or an end to OTA dependence.

What remains uncertain

Does the intent-source pattern replicate outside Tokyo, across current Gemini versions and other AI search platforms? Would controlled hotel content interventions alter direct citations? Do source-citation differences translate to clicks, direct bookings or revenue?

Evidence claims

introduces

In March 2026, Zhu and Chang ran 156 English- and Japanese-language Tokyo hotel prompts on Gemini 2.5 Flash with Google Search grounding and classified 1,357 grounding citations into OTA and non-OTA source categories.

introduces

In that Tokyo Gemini hotel audit, 55.9% of grounding citations for experiential queries came from non-OTA sources, versus 30.8% for transactional queries, a 25.1 percentage-point difference.