Best AI Search Tools for Hotels and Resorts in 2026

Travelers now plan trips in a chat window. "Best boutique hotel in Lisbon for couples." "Family resort with a kids club in [region]." "Quiet hotel near [convention center] with a decent gym." The assistant answers with a short list and a reason for each pick, and the traveler often clicks the first link that lets them book.

That link is frequently not yours. Answers about hotels draw on OTA listings such as Booking.com and Expedia, review sites like Tripadvisor, travel publications, Reddit trip reports, and YouTube room tours. A hotel can be recommended by name and still lose the booking to an OTA, because the cited source was the OTA page. On top of that, sponsored placements now appear inside some AI answers, so a competitor can buy their way into a prompt you rank for organically.

Two more things make hotels harder than most local businesses. The guest is rarely local, so what counts is the answer someone gets when asking from their home country, and that can differ from what you see at the front desk. And the same hotel is a good answer for one traveler and a bad one for another. A couple and a family of five ask different questions, and AI recommends different properties.

How we ranked

We scored tools on five needs, using only what each catalog entry documents:

Personas, so you can ask as a couple, a family, and a business traveler.
Tracking by country, and by city where the property sits.
Citation sources broken down far enough to see OTAs, review sites, Reddit, and YouTube.
Visibility into sponsored placements inside AI answers.
A way to tell AI-referred direct bookings apart from traffic that ended on an OTA.

1. Promptwatch

Promptwatch covers all five, and two of them are rare. The first is Ads Radar, which captures sponsored ads in ChatGPT Search, Google AI Overviews, and Google AI Mode answers to your tracked prompts. For each ad it records the title, description, image or price, the advertiser and their domain, the target URL, and the prompt that triggered it. The By Prompt table puts the ad count next to your own average visibility, so you can see where a rival chain is paying to appear above you. It does not cover Perplexity.

The second is visitor analytics. A lightweight script or GTM template records AI-referred visits and conversions, so you can set the booking confirmation as a conversion and see how many guests came from ChatGPT or Gemini and booked direct. Set that against citation analytics, which shows how often answers cite an OTA page instead of yours, and you have the direct-booking gap in numbers.

Personas let you run "best hotel in Lisbon for a weekend" as a couple and as a family. Country-level tracking is on every paid plan, so you can compare the answer for UK and German travelers. YouTube and Reddit citation views show which room tours and trip reports carry weight. Ads Radar, city tracking, and Shopping Insights are on Business at $579 a month, along with 5 projects (useful for a small group) and the automated Content Agent for publishing destination and room pages. Agency plans from $199 also include Ads Radar and city tracking, but not the Content Agent. Essential ($95) and Professional ($245) are country-level only and do not include Ads Radar.

2. Uberall GEO Studio

Uberall GEO Studio (GEO Starter $109/mo; GEO Scale $449/mo; GEO Studio custom) is the strongest of the rest on personas. It breaks share of voice, citations, and the traits AI assigns to you down by persona, location, and competitor, and its source view names Reddit, TikTok, and YouTube. Hallucination detection helps when an answer gets an amenity wrong. Action Center content publishes to WordPress, Webflow, and others after approval.

Location-level tracking and daily runs need Scale at $449. The entry documents no crawler logs, no conversion tracking, and nothing on sponsored ads.

3. AthenaHQ

AthenaHQ (free tier; from $295/mo) tracks eight engines and rolls citations, sentiment, and traffic impact into a GEO score, with an Action Center that turns gaps into tasks. It lists GA4, Shopify, and Webflow revenue attribution, which gets closer to the booking question than most trackers.

For hotels the catch is geography and personas. Starter is single-country, and personas and multi-region tracking sit on Enterprise at around $2,000 a month or more. The entry also lists no Reddit monitoring, and Reddit trip reports matter in travel.

4. Scrunch AI

Scrunch AI (from $250/mo annual) covers up to nine engines on Enterprise and benchmarks you against competitors. Its Agent Experience Platform serves AI-optimized versions of your pages to LLM crawlers without changing what guests see, which could help a hotel site heavy on images and booking widgets.

Data refreshes weekly. The entry describes persona and prompt setup as a real configuration job, while its own cons call personas undocumented, so ask for a demo of exactly that. It lists crawler traffic analytics but documents no per-bot crawler logs.

5. Trendos

Trendos (free plan; paid from $39/mo) is the cheap way to cover many feeder markets. Every plan, Free included, has unlimited countries, and prompts run daily. It reports mentions, sentiment, cited sources, share of voice, and the query fan-outs behind an answer. It also has its own Ad Radar for competitor ads inside ChatGPT answers, with each advertiser's impression share.

It is monitoring only, with no content or publishing, and its homepage and FAQ disagree on the engine list.

6. Profound

Profound (from $99/mo annual; Enterprise from about $40k/yr) reports citation share, share of voice, and competitor cite-rates by prompt cluster. Prompt Volumes, its dataset of real query demand, can tell a hotel group which destination prompts people actually ask.

It sits sixth because the product is now sold mainly as marketing agents for content, demand, and PR. Starter is ChatGPT only with 50 prompts, Growth covers three engines, and the wide engine list is Enterprise.

7. Gumshoe.AI

Gumshoe.AI (free audit; about $0.10 to $0.20 per conversation) simulates personas in multi-turn conversations across around 11 models instead of firing single prompts. Trip planning is a series of follow-ups, so that method fits travel well. It traces citations back to the publications and communities shaping the answer.

The entry lists no revenue attribution and no Copilot, and the pricing structure is in flux: per-conversation in one place, $99 and $299 plans in another.

8. KIME

KIME (from €99/mo) lists unlimited languages and 15+ geo-localized regions, with daily runs, sentiment, and citation analytics, plus a monthly quota of automated content and technical fixes. A resort marketing in several languages gets something out of that.

Its pricing page shows two engines on Explorer and three on Core, with full coverage on Enterprise only. Personas are not documented.

What to test in a trial

Ask the same five prompts as a couple, a family, and a business traveler. If nothing changes, the tool isn't modeling personas.
Track at least two feeder countries as well as your own.
Open the citations for a prompt where you are named. Count how often the cited page is an OTA listing rather than your own site.
Check whether the tool shows sponsored placements for your core prompts, and on which engines.
Set up a booking conversion during the trial. Visibility you can't tie to direct bookings is hard to defend in a revenue meeting.

Why Promptwatch comes first

A hotel's AI search problem is really a direct-booking problem. AI may recommend you and still send the guest to an OTA, a competitor may be paying for the top slot, and the answer changes with the traveler and the country. Promptwatch is the one platform here that tracks all of it in one project: personas and country tracking for who is asking, citation analytics for whether the OTA or your site gets the link, Ads Radar for paid placements in ChatGPT Search and Google's AI answers, and visitor analytics for the bookings that come through. Start with your top destination prompts on Promptwatch and track them from two feeder markets.