AI Travel Planner: Is It Actually Useful or Just Hype?

The Honest State of AI Travel Planning

I have used every major AI travel planning tool. I have tested them on real trips, compared their recommendations to what I know from experience, and watched them confidently give wrong information about visa requirements, hotel availability, and flight prices.

I have also watched them save me hours of research, generate itinerary frameworks I would never have thought of, and answer obscure questions about Japanese train passes at 2am when no human travel agent was available.

The truth about AI travel planning is more nuanced than either the hype or the backlash suggests. Here is what these tools can actually do — and what they cannot.

What AI Travel Planners Are Genuinely Good At

Itinerary Frameworks

This is where AI shines. Give ChatGPT or Claude a destination, a duration, and your interests, and it will produce a logical, well-structured itinerary framework in seconds. Not a perfect itinerary — but a starting point that would take you 2-3 hours to research manually.

The key word is "framework." The AI will tell you to visit the Uffizi Gallery in Florence and the Duomo in the same day. What it won't tell you is that the Uffizi requires 3-4 hours minimum, that the queue for the Duomo is 90 minutes unless you book in advance, and that the walk between them is 10 minutes. You need to add that layer yourself.

Best prompt for itineraries: "I'm spending 7 days in Japan — Tokyo (3 nights), Kyoto (2 nights), Osaka (2 nights). I'm interested in food, architecture, and traditional culture. I don't want to do more than 3 major sights per day. Give me a day-by-day framework with morning, afternoon, and evening suggestions, and flag anything that needs advance booking."

Comparing Options

AI is excellent at structured comparisons. "What are the differences between staying in Seminyak vs Ubud in Bali?" will get you a genuinely useful answer — the trade-offs, the vibe, the type of traveller each suits. This is the kind of research that takes 45 minutes on travel blogs and 3 minutes with AI.

Visa and Entry Research

AI is good at explaining visa requirements — what type of visa you need, what documents are required, the general process. It is not reliable for current processing times, current fees, or recent policy changes. Always verify with the official embassy website before applying.

Packing Lists

Genuinely useful. "Give me a packing list for 2 weeks in Southeast Asia in October, carry-on only, mix of cities and beaches" produces a comprehensive, well-organised list that you can edit rather than build from scratch.

Language and Culture Prep

"What are the most important cultural customs to know before visiting Japan?" or "What are the 10 most useful phrases in Thai for a tourist?" — AI handles these well and saves significant research time.

Where AI Fails (And Fails Badly)

Real-Time Prices and Availability

AI language models have a training cutoff. They do not know what a flight from Amsterdam to Tokyo costs today. They do not know if the hotel you're asking about has availability in August. Any specific price or availability information from an AI is either outdated or fabricated.

The danger: AI will sometimes give you a confident, specific price ("flights from London to Bali typically cost £450-600 return") that is based on data from 18 months ago and may be completely wrong today. Always verify prices on actual booking platforms.

Local Knowledge That Isn't Online

The best travel knowledge is not on the internet. The specific table at the restaurant with the best view. The fact that the "scenic route" on the map goes through an industrial area. The local festival that fills every hotel in the region for a week. The beach that looks beautiful on Google Maps but has dangerous currents.

AI can only know what is written down somewhere. The unwritten knowledge of experienced travellers — the stuff that makes the difference between a good trip and a great one — is not in its training data.

Recent Changes

Restaurants close. Hotels renovate. Visa policies change. Borders open and close. AI has no awareness of anything that happened after its training cutoff, which means its recommendations can be confidently wrong about things that changed recently.

The Best AI Tools for Travel Planning: Honest Comparison

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Victoria's recommendation: Use Perplexity for anything where currency matters (visa requirements, current prices, recent reviews). Use ChatGPT or Claude for itinerary building, comparisons, and research where the information is unlikely to have changed.

The Prompts That Actually Work

The Itinerary Prompt

"I'm visiting [destination] for [X] days. My interests are [list]. My budget is [range]. I'm travelling [solo/as a couple/with family]. I want to avoid [tourist traps/crowds/etc.]. Give me a day-by-day itinerary with specific recommendations for accommodation areas, must-book-in-advance experiences, and one 'off the beaten path' suggestion per day."

The Comparison Prompt

"Compare [Option A] and [Option B] for [type of traveller]. Cover: location, vibe, price range, best for, worst for. Be specific and opinionated — I don't want 'it depends on your preferences.'"

The Research Prompt

"I'm planning a trip to [destination]. What are the 5 things most travel guides get wrong about this destination? What do experienced travellers know that first-timers don't?"

The Logistics Prompt

"I'm flying into [airport] and want to visit [list of places] over [X] days. What's the most logical order to visit them, and what's the best way to get between each one? Include approximate travel times and costs."

Victoria's AI Travel Planning Workflow

Here is exactly how I use AI in my own travel planning:

Step 1 — Initial research (AI): I ask ChatGPT for an itinerary framework and a list of the 10 most important things to know about the destination. This takes 10 minutes and gives me a solid foundation.

Step 2 — Verification (human sources): I cross-check the AI's recommendations against recent blog posts, Reddit threads (r/travel, destination-specific subreddits), and Tripadvisor reviews from the last 6 months. This catches anything the AI got wrong or that has changed.

Step 3 — Booking (booking platforms): I book everything on actual booking platforms — Booking.com, Expedia, the airline's website. I never trust AI for prices or availability.

Step 4 — Local knowledge (human): For any destination I haven't been to, I post in the relevant subreddit or Facebook group asking for current recommendations. The responses from people who were there last month are invaluable.

Step 5 — Final itinerary (AI): I paste my research notes into Claude and ask it to help me build a final, optimised itinerary. It's good at spotting logical gaps and suggesting a better order.

The Future: What AI Will Be Able to Do in 2 Years

The current limitations of AI travel planning are mostly technical, not fundamental. Within 2 years, I expect:

Real-time integration: AI assistants connected to live flight and hotel inventory, able to search and book in the same conversation. This already exists in early form (Google's travel AI features) but will become much more capable.

Personalisation: AI that remembers your travel history, preferences, and past trips, and makes recommendations based on what you've actually enjoyed — not generic "popular with tourists" suggestions.

Multimodal planning: AI that can look at a photo of a restaurant and tell you what it is, or look at a map and suggest the optimal walking route.

The thing that won't change: The unwritten local knowledge. The best travel recommendations will always come from people who have actually been there recently. AI will get better at finding and synthesising that knowledge — but it cannot replace the experience of being there.

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*Try TheTripsites' own AI travel planner, Aria, for personalised destination recommendations and itinerary help — available at /chat. For booking, use Expedia and Booking.com.*