Notice of Establishment of Terrace Roots Inc. / Launch of 'GEO Support' Service for Hotels and Ryokans

Terrace Roots Inc. (Location: Otsu City, Shiga Prefecture; CEO: Takumi Matsui), established in April 2026, will launch a 'GEO (Generative Engine Optimization) Support' service targeting hotels and ryokans. The core of this service is to strategically publish the facility's brand story on media like LinkedIn and note, allowing AI to learn and cite it correctly, thereby realizing 'natural recommendations' from ChatGPT, Perplexity, and Google AI Mode. We directly tackle the three structural problems the hospitality industry faces right now: OTA dependency, zero-click, and AI invisibility.

Three 'Quiet Crises' are Visiting Customer Acquisition in the Hospitality Industry

Problems that cannot be solved even with SEO measures or OTA listings are progressing simultaneously.

[Problem 01: The Problem of Existence] An inn unknown to AI is the same as non-existent. 'What are the recommended ryokans in Hakone?' ── When a traveler asks ChatGPT or Perplexity this, facilities that do not appear in the AI's answer are zero options for that traveler. It doesn't matter if you are listed on an OTA or have your own website. An inn unknown to AI is virtually non-existent.

[Problem 02: The Zero-Click Problem] Even if you rank #1 in SEO, AI recommends another inn. As generative AI becomes widespread, travelers stop the behavior of 'Search -> Click -> Site Visit'. The 'zero-click' phenomenon, where decision-making is completed solely by AI answers, is accelerating, causing a reversal where traffic to official websites disappears even if you maintain high rankings in SEO and MEO.

[Problem 03: The Problem of Revenue Structure] If you lose in GEO, you continue to pay OTA commissions. Facilities not recommended by AI continue to rely on OTA bookings, unable to escape the structure of paying 15-20% of sales as commissions. On the other hand, facilities that gain an edge in GEO increase direct bookings via AI, changing the profit left in hand even at the same room rate.

These three are not independent problems but a cascading structural issue. The more delayed you are in GEO, the more the problems of existence, traffic, and revenue deepen simultaneously. Terrace Roots provides concrete means to break this chain.

The Core of the Solution: Making AI Learn the Brand Story

The essence of GEO measures is not keyword stuffing. AI learns and answers based on stories published in highly reliable media about 'what kind of inn this is'. Only when the facility's philosophy, history, cuisine, people, and experiences are verbalized and transmitted on a platform easy for AI to learn, can AI accurately 'talk' about that facility.

[Flow of GEO Support] STEP 1: Verbalization and organization of the brand story Structuring the facility's strengths into a form AI can understand STEP 2: Strategic publishing on LinkedIn and note Utilizing platforms with high AI citation rates STEP 3: AI learns 'this inn is this kind of inn' Entering the AI's database with accurate context STEP 4: Naturally recommended by ChatGPT, Perplexity, etc. AI introduces your facility to traveler's questions

LinkedIn ranks 2nd in the cited domain ranking within AI answers, giving it a structural advantage where publishing on LinkedIn easily becomes AI training data.