Mediterranean cliffside hotel and infinity pool overlooking the sea

AI visibility growth engine for hospitality

Your hotel’s next direct channel is AI

Listo measures how hotels appear across AI models, creates tailored content built for AI indexing and readability, and connects live booking data so visibility turns into direct demand.

Helping hospitality and travel brands prepare for AI discovery

TravelSupermarket
Rusticae
EconomyBookingsValpas

The market shift

Travel discovery is moving into AI.

Travellers ask AI what fits, what is available and what it costs. Hotels need to be both visible and connected.

Traveller behaviour01
0%

of consumers start their travel research and bookings on AI platforms

Source: Phocuswright Research

Hotel visibility gap02
0%

of hotels are absent from AI-channel searches

Source: Hotel World AI

Demand acceleration03
+0%

growth in AI-driven traffic to travel websites (Jul 2024 to Feb 2025)

Source: Adobe Analytics · Jul 2024–Feb 2025

The Listo growth engine

Measure visibility. Create what AI needs. Convert demand.

One system closes the loop between understanding how AI sees your hotel and publishing the information that helps models find, understand and recommend it.

Measure

See every answer, mention and source.

See the complete picture of how AI discovers and represents your hotel, then drill into the exact reason behind every result.

  • Visibility score
  • AI sentiment
  • Traffic from AI
  • Site readiness
  • Model breakdown
  • Competitor share
  • Markets & regions
  • Personas & topics
  • Cited sources
  • Content opportunities
Listo overview dashboard measuring AI visibility, sentiment, AI traffic and cited sources
Listo content library with tailored hotel articles and content opportunitiesListo editor showing a hotel-specific article built for AI readability

Create

Content engineered from your visibility gaps.

The engine turns scan results into prioritized ideas, then creates tailored pages and articles using the hotel’s property context, target traveller, market and tone.

  • AI-readable structure and metadata
  • Property-specific facts and imagery
  • Built around real traveller prompts

Connect

From recommendation to direct booking.

Listo’s MCP layer gives assistants official, live access to availability, rates and policies, so your direct channel travels with the guest into AI.

  • Live room inventory
  • Official direct prices
  • Verified terms
  • Direct booking path
ChatGPT showing live room availability, direct rates and booking actions supplied through Listo

See the complete Listo workflow

Measure, create and connect in one product.

Walk through how Listo finds visibility gaps, turns them into tailored content, and connects live hotel data to AI assistants.

Book a product walkthrough
Mediterranean hotel terrace and pool at golden hour

Built for hospitality

Protect the direct relationship in the age of AI.

Your website stays central. Listo extends your direct channel into the assistants where travellers are discovering, comparing and increasingly booking.

Why Listo for hospitality

Common questions

What hospitality teams ask us.

It comes down to three layers, all of which work at the same time. The first is what the model knows from its training data. The second is what the assistant finds when it executes a web search real time (your site, OTAs, travel guides). The third is what the assistant can pull directly from your systems, when that connection exists: availability, prices, conditions. All three layers run at once, and Listo works on and optimises all three.

They are not the same, but they are compatible. Classic SEO is an important primitive so assistants can find and read your site. GEO (Generative Engine Optimisation) tries to shape what the model interprets and says about your brand. Listo works on both: technical SEO/GEO to expose your site to agents, and optimising your digital content so you have more control over how AI interprets and talks about you.

To an extent. SEO is still an important foundation and helps you appear when the assistant searches the web. But when the traveller wants to decide or book (recommendations, dates, conditions, live prices) SEO falls short. You need to know and control how the assistant will talk about your hotel, and whether it has access to live data. Without this, the assistant leans on Booking's or Expedia's data, and what happened with Google and OTAs repeats itself inside the AI channels.

MCP (Model Context Protocol) is the standard that lets assistants query official, connected sources in real time instead of reading web pages. It is the layer that delivers certainty: whether a room is free on 12 August, what the price is, whether any of your policies have changed. For your business it means AI can cite verified information straight from your systems, and that consumers and agents can compare and book directly with you, without depending on an OTA.

The AI channel becomes part of your direct channel, not a replacement of it. Your website stays central, but part of the decision and, over time, part of the booking will happen inside the AI assistant. That space will not stay empty: if your business does not fill it with official, connected data, Booking or Expedia will. Preparing now (structured data, inventory exposed to agents, rates and conditions in a single source, an MCP) is what separates the business that protects its direct channel on AI from the one that hands it over to OTAs.

Mediterranean hotel terrace and infinity pool overlooking the sea

Start with visibility

See how your hotel shows up inside AI.

Run the benchmark, understand where you stand, and identify the clearest path from being absent to being bookable.

Run the free benchmark