INDUSTRY// industries :: travel_&_hospitality

The AI trip planner already made your shortlist.

Before a traveller opens a booking site, they ask an assistant: "best serviced apartments in Singapore for a long stay," "best airline for Jakarta–Tokyo," "where to stay in Bali with kids." The model returns three or four names. If your brand is not one of them, the booking is lost upstream of your funnel, and your analytics never even see it happen.

CHATGPT / TRIP_PLANNER.log

> "best serviced apartments in singapore for a long stay"

For extended stays, three operators come up most often: Ascott[1], with the widest network of central locations and flexible lease terms; Citadines[2]; and Frasers[3].

[1] discoverasr.com · cited first
[2] discoverasr.com
[3] frasershospitality.com
#1citation share for the client, up from unranked in 90 days.
// trusted_by
DiscoverASR/Prenagen/Morinaga/Taman Safari/Highfive Global/DOKU/Kompas
// the_shift

The itinerary is decided before the booking site loads.

Travel is one of the first categories AI assistants took over, because the questions are open-ended and the answers are recommendations. "Where should I stay," "which airline," "is it good for families", the model synthesises an answer and names a shortlist, and most travellers act on it without visiting a comparison site at all.

Ranking a landing page no longer guarantees you are in that shortlist. Being named is an entity, content, and authority problem, and it is the exact discipline we run. We already win it: for DiscoverASR (The Ascott Limited) we took "best serviced apartments in Singapore" from unranked to the first-cited answer across ChatGPT and Perplexity.

// the_queries_you_are_judged_on

These are the prompts deciding your bookings.

[ COMPARISON ]

"best serviced apartments in Singapore for a long stay"

The exact query DiscoverASR now wins. The model names three operators; we made sure Ascott is the one cited first, with the reasons attached.

[ ROUTE ]

"best airline for Jakarta–Tokyo"

Route and carrier queries settle the booking before a fare is compared. We engineer which airline the assistant recommends, and how favourably it frames you.

[ PLANNING ]

"where to stay in Bali with kids"

Intent-rich planning prompts pull a handful of properties into the answer. The brands named make the itinerary; the rest are never considered.

[ SENTIMENT ]

"is [your brand] good for business travel?"

Sentiment queries decide trust. Being mentioned matters; how the model describes you matters more. We shape the framing, favourable and accurate.

// what_we_do_for_travel

How we get travel brands named.

01

Property & route entity graph

Make every property, brand, and route a clean, unambiguous entity the models resolve, so an assistant knows exactly what you offer, where, and for whom.

02

Citation-ready rates & guides

Structure amenities, policies, and destination content the way assistants extract and quote, so the answer to a planning query lifts your information, not a competitor's.

03

Review & authority signals

Travel decisions lean hard on reviews and third-party mentions. We build the signals models weigh when deciding which operator is safe to recommend.

04

AI Share of Voice by route & city

Track which assistant names you for which route, city, and trip type, and report citation share and sentiment against named competitors every month.

// faq

Questions, answered

Why does AI search matter specifically for travel brands?+
Travel questions are open-ended and answer-shaped, exactly what assistants are built for. Travellers ask "where should I stay" or "which airline," and the model returns a shortlist of names. If your brand is not in that answer, the booking is decided against you before anyone reaches a comparison or booking site.
Which travel and hospitality brands do you work with?+
We run AI visibility for hospitality and leisure brands including DiscoverASR (The Ascott Limited) and Taman Safari Indonesia. For Ascott, we took "best serviced apartments in Singapore" from unranked to the first-cited answer across ChatGPT and Perplexity in 90 days.
Can you optimise for specific routes, cities, and trip types?+
Yes. We benchmark and optimise per route, city, and trip type, because an assistant may name you for "best airline for Jakarta–Tokyo" but not "best for families," or for one destination but not another. Reporting is broken down the same way, so you see exactly where you win and lose.
How do you measure it?+
We track a defined set of planning and comparison prompts across ChatGPT, Gemini, Perplexity, and Google AI Overviews, and report citation share, mention frequency, and sentiment against named competitors every month, so AI visibility becomes a number your team can manage.
// start_here

See how AI answers your category today.

We will run your brand and top competitors through ChatGPT, Gemini, Perplexity, and Google AI Overviews on the exact planning and comparison prompts your travellers use, and show you who is winning the answer.