Travel & hospitality sector: how we position your brand above competitors in ChatGPT, Gemini and Copilot
Travel sector case: competitor analysis in AI engines and the methodology to make your hotel or agency the recommended one.
Kanalytics Technologies
Kanalytics Technologies
Travel & hospitality sector: how we position your brand above competitors in ChatGPT, Gemini and Copilot
Quick answer: trip planning is one of AI’s most mainstream uses: millions of travelers ask ChatGPT, Gemini, and Copilot for itineraries, hotels, and recommended agencies — and AI delivers 2 to 4 options with arguments. If your brand isn’t in that answer, the booking was decided without you. Our methodology audits what AI says about your destination, why it recommends others, and builds the content and authority to change the answer in your favor.
This case shows, with real examples from our methodology, how we work with travel-sector companies: boutique hotels and chains, travel agencies, tour operators, resorts, and experience platforms.
What’s happening in your sector (and almost nobody has told you)
For years, bookings depended on three channels: OTAs, search engines, and word of mouth. Today there’s a fourth channel that charges no commission, has no app, and doesn’t show up in your revenue report — but already influences which hotels get considered and which don’t:
The AI engines.
Look at what the actors in your market are typing today. These are real sector prompts:
| Who’s asking | Real prompt |
|---|---|
| Traveler planning vacation | “What are the best hotels in Cartagena for a couples trip?” |
| Family organizing | “Family hotel vs all-inclusive in San Andrés: what do you recommend?” |
| Business traveler | “Which hotel do you recommend near Bogotá’s convention center?” |
| International tourist | “Which agency is trustworthy for Coffee Region tours?” |
| Group of friends | “Build a 4-day Medellín itinerary with a recommended hotel” |
When we run these prompts across ChatGPT, Gemini, Copilot, Perplexity, and Claude, the pattern repeats: AI names the same 2 or 3 properties or agencies, with confidence, with attributes, and with sources. And the company that hires us, almost always, doesn’t appear.
The difference versus OTAs is brutal: on an OTA you competed for position within the list. In AI, the traveler gets a direct recommendation — “stay at this one, it’s the best boutique in the area” — and books without comparing further. The commission channel starts looking different when the recommendation arrives for free.
The competitor analysis: exactly what we do
Before writing a single line of content, we connect our monitoring tool stack to answer three questions with data, not opinions:
1. Who does AI cite in your destination — and in what position?
We map 30 to 60 real prompts from your market (recommendation, traveler type, area, budget, comparison, experience) and run them recurrently across the 6 main engines. The result is your visibility score per engine:
| Sector prompt | Engine | Your brand | Who appears in your place |
|---|---|---|---|
| “Best boutique hotels in [your city]” | ChatGPT | Not cited | Competitor A (1st), chain B (2nd) |
| “Which agency do you recommend for tours in [your destination]?” | Gemini | Not cited | Operator C, platform D |
| “Hotel near [point of interest] with good value” | Copilot | Not cited | Chain B — “the most reliable option in the area” |
2. Why AI recommends them
Here’s the gold. AI doesn’t recommend by chance: it recommends because it found clear entities, citable content, and digital authority. Our analysis reveals, competitor by competitor:
- Which sources AI is using to talk about them (their site, travel directories, reviews, destination blogs, travel media)
- Which attributes it assigns them (“the best for families,” “the best location”) — attributes that should often be yours
- Which gaps they have — traveler questions nobody answers well (policies, transport, included experiences), which are your fastest way in
3. What your guests ask that you’re not answering
We analyze the real prompts travelers to your destination type: exact language, comparisons, booking doubts. That research becomes the content map your brand needs to publish.
How we position you above: the methodology
With the diagnosis in hand, we execute four fronts:
1. Citable content, written for your site. Destination guides, experience pages, and comparisons that directly answer the questions travelers ask AI — with the structure, data, and references engines need to cite you as an authoritative source. We deliver it ready to publish.
2. Entities and digital authority. AI recommends brands it understands. We build the structured presence of your property or agency (what it is, where it is, what experience it offers, who it’s for) so engines identify you, classify you, and describe you with the right attributes.
3. External signals and social media. The exact content and hashtags for your social channels, travel directories, and the places where AI tracks validation — aligned with the topics your guests ask about.
4. Continuous measurement. Monthly monitoring: which prompts you now appear in, in what position, against whom, and how it evolves. Scheduled around your seasons. Clear, actionable reports, no black boxes.
The before and after
Today — without AI visibility: “What’s the best hotel in [your area] for [traveler type]?” → AI names three competitors, with their sources. Your property doesn’t appear. The guest books elsewhere — or on an OTA that charges you for the customer AI didn’t give you.
With Kanalytics — cited as the reference: → AI names your brand first, with the right attribute (“the best-located boutique in the area, with local experience included”) and with your site as the source. The guest arrives at your direct booking already convinced.
What the conversation with you would look like
When we sit down with a travel company, we don’t sell smoke: we ask questions. We start by understanding your operation — how much of your occupancy arrives today via OTAs, direct, and corporate, and how a guest decides between your property and the one next door.
Then we show you what we found: what AI answers when a traveler plans to visit your destination, which competitors are occupying your place, and — most importantly — how many bookings never even reached your radar because the traveler built their shortlist without knowing you. If every season a larger share of that planning gets answered by AI naming your competitor, that deficit has a concrete cost in occupancy and commissions worth seeing in numbers.
And our commercial stance is direct: we teach you something about your market you didn’t know (who’s winning AI answers in your destination), we connect it to your specific situation (your property, your competitors, your prompts), and we give you control over the next step (a PDF diagnostic that’s yours, whatever you decide).
Why travel moves faster than other sectors
Three reasons we see in the data:
- Trip planning is one of AI’s most mainstream uses. Few consumer decisions get delegated to an assistant this much: destination, hotel, itinerary, budget — all in one conversation.
- Direct booking has a new ally. Every AI recommendation that arrives with your name is a guest who paid no OTA commission. AI visibility is, in practice, a disintermediation strategy.
- Demand is seasonal and measurable. Season against season you see exactly what changed: which prompts you enter, how much occupancy arrives through the new channel, and which attributes consolidated.
Start with the diagnosis
Within 48 hours we deliver:
- Your visibility score across ChatGPT, Gemini, Copilot, Perplexity, Claude, and AI Overviews
- The competitors occupying your place today in the answers, and the sources AI uses to recommend them
- Your destination’s concrete opportunities, ranked by impact
- The PDF diagnostic — yours, whatever you decide
One 30-minute session. Free, no commitment. If there’s no clear opportunity for your company, we’ll tell you that too.
Frequently asked questions
What companies ask before starting
Do travelers really use AI to plan and book trips?
+
Yes. Trip planning is one of the most mainstream uses of ChatGPT, Gemini, and Copilot: itineraries, destination comparisons, recommended hotels by area and budget, tours, and agencies. The traveler who once opened ten tabs now receives a complete plan with 2 to 4 concrete recommendations — and books from there.
How do I know if AI recommends other hotels or agencies before mine?
+
Run your guests' prompts — 'best hotels in [your city] for [traveler type]', 'which agency do you recommend for tours in [destination]?', 'boutique hotel vs chain in [area]' — in ChatGPT, Gemini, and Copilot, and record who gets named. If your brand doesn't appear, competitors are capturing that booking. Our free audit runs this analysis with 30 to 60 real prompts from your market.
What makes AI recommend one hotel or agency over another?
+
A clear entity (AI understands what your property is, its location, experience type, and who it's for), citable content (it answers with data travelers' questions: prices, amenities, location, policies), and external validation (reviews, travel directories, media). It doesn't recommend the biggest — it recommends the one it can verify with confidence.
How long does it take a hotel or agency to appear in AI answers?
+
First results appear within 4 to 12 weeks of consistent work. Travel has an advantage: demand is seasonal and predictable, so the work can be scheduled to arrive positioned before each high season. Won attributes ('the best boutique in the area') consolidate over time.
What does the free AI visibility audit include?
+
Within 48 hours we deliver your visibility score across ChatGPT, Gemini, Copilot, Perplexity, Claude, and AI Overviews; the competitors occupying your place in the answers and the sources AI uses to recommend them; and your destination's opportunities ranked by impact. The PDF diagnostic is yours whatever you decide.