We Planned the Same Trip on 6 AI Tools — Here’s What Actually Happened
AI travel planning feels harder to navigate every year with all the hype flying around. As someone who spent three months actually testing these tools — not skimming feature lists, not reading press releases — I learned everything there is to know about what these things can and cannot do. So here’s what I did: I took one specific trip (10 days in Japan, $3,000 budget, food and temples as the focus) and ran it through six different AI travel planners. Same trip. Six tools. Wildly different results.
This isn’t theoretical. These are real itineraries, real hotel recommendations, real booking attempts. Some tools nailed it. Others sent me to places that were closed on the exact dates I was traveling. One — I’m still annoyed about this — recommended a temple that requires advance reservations two months out. The difference between a good AI travel planner and a bad one can mean the difference between a $300 hotel room and a $30 hostel, or between eating at a packed tourist trap and stumbling into an incredible ramen shop tucked into a residential neighborhood.
Test parameters: ten days, Japan, three grand total, food culture and Buddhist temples, Tokyo plus Kyoto plus Osaka. The kind of trip a real person actually takes.
ChatGPT and Gemini — Free But Generic
I started with the two obvious choices — ChatGPT (GPT-4o) and Google Gemini. Both free at the basic level. Both trained on enormous datasets. Both spit out responses in seconds.
ChatGPT’s itinerary came back in about 90 seconds. Competent on the surface. Day one: arrive Tokyo, visit Senso-ji, eat ramen nearby, stay in Asakusa. Day two: Meiji Shrine, Harajuku, shopping district. By day three, the problem was obvious — every single recommendation felt like it came from a 2018 guidebook. Senso-ji is absolutely worth visiting, sure. It’s also packed with 3,000 other tourists doing the exact same thing on any given morning. ChatGPT also suggested the teamLab Borderless digital art experience. That closed permanently in May 2025. The Shibuya hotel it recommended? Listed at $180 per night in the budget breakdown. Current rates are $240–280 minimum for anything remotely reasonable.
Let me back up — this is what matters. The free tools look impressive until you start fact-checking them against current conditions. ChatGPT knew Japan existed. It knew temples existed. It didn’t know that booking during peak cherry blossom season — which my travel window happened to land in — requires either advance planning or a willingness to pay through the nose.
Google Gemini performed slightly better. The Maps integration meant restaurant recommendations showed actual current hours. The ramen shop it suggested in Shinjuku? Open until 10 PM on weekdays — verified. Gemini also flagged restricted access days at one temple, which is exactly the kind of practical detail ChatGPT blew right past.
But what is the core problem here? In essence, it’s that both tools generate text through pattern matching — not real-time data verification. But it’s much more than that. A hotel might have closed in 2024. A restaurant might have relocated two blocks over. A temple might require reservations booked months in advance through a Japanese-language website. ChatGPT and Gemini don’t know. They’ll cheerfully send you to the wrong address.
Neither tool could book anything. I could copy the itinerary and manually search flights on Google Flights, hotels on Booking.com — but that defeats roughly half the point of using an AI planner. Useful as brainstorming partners. Not useful for actual execution.
Cost: $0. Time spent verifying all recommendations: four hours. Accuracy: about 60 percent.
Dedicated AI Travel Tools — Wonderplan, Roam Around, Layla
This is where things got interesting. There are now a handful of tools built specifically for travel planning — and they operate completely differently from the general-purpose chatbots. APIs connected to booking systems. Real-time pricing. Some can actually reserve flights and hotels directly.
I tested three: Wonderplan, Roam Around, and Layla. Each costs money — $10–15 per trip plan, or $99–199 for annual subscriptions. Each produced measurably different results for the same Japan trip.
Wonderplan
Wonderplan’s strength is structure. The day-by-day itinerary it generated felt like something a seasoned travel agent put together — travel times built in, meals spaced appropriately, a real understanding of how a day actually flows. Day two: travel Tokyo to Kyoto (2.5 hours by bullet train), check into hotel, visit Arashiyama Bamboo Grove at 4 PM (smart call — crowds thin out by late afternoon), dinner at a nearby kaiseki restaurant.
The details impressed me. Wonderplan flagged that one temple I wanted to visit was undergoing renovation until July 2026. It built in a buffer day for jet lag. It factored in the JR Pass — currently ¥29,600 for seven days — directly into the budget breakdown. That’s what makes Wonderplan endearing to us detail-obsessed planners: it treats the trip like a system, not a list.
Booking integration was smooth but limited. Hotels could be reserved directly through the platform at prices matching Booking.com independently. Flights didn’t work — it kicked me to Skyscanner, which is fine but not seamless. The Kyoto hotel recommendation — Mitsui Garden Hotel at ¥18,000 per night, roughly $120 USD — was accurate for mid-April rates.
Weakness: restaurant recommendations still had that generic tourist-trail quality. Same ramen shops and sushi counters every first-time Tokyo visitor finds. No Tabelog integration for genuinely local insights.
Time to generate: 2 minutes. Booking capability: 70 percent. Accuracy: 85 percent.
Roam Around
Roam Around positioned itself as the personalized option. Setup involved actual questions: travel pace (relaxed, moderate, active), how much unscheduled time you want, restaurants versus street food, nightlife interest. I selected moderate pace, some exploration time, equal interest in sit-down and street food, no nightlife.
The itinerary reflected those choices — genuinely. A three-hour unscheduled block on day four. A mix of casual eating and proper sit-down meals. That’s not nothing.
Restaurant picks were better here. Roam Around suggested a yakitori counter in Tokyo’s Yurakucho area — the kind of spot where you stand at a narrow bar eating skewered chicken while salarymen decompress after work. Also a Michelin-starred sushi restaurant for day nine. The contrast felt intentional. That’s what makes Roam Around endearing to us travelers who hate cookie-cutter itineraries: it actually listens to what you said during setup.
Booking capability was the weakest of the three — hotels only, no flights, constant redirects to external sites for airfare. Frustrating when you want everything in one place.
Don’t make my mistake. I locked in rigid dates (April 8–18) without enabling the flexible dates option, which meant the tool couldn’t suggest adding an extra day in Kyoto if I discovered I loved it there. Leave that toggle on.
Time to generate: 4 minutes. Booking capability: 50 percent. Accuracy: 80 percent.
Layla
Layla launched in late 2025, and honestly, it shows — in the best way. Cleaner interface, faster loading, and hotel recommendations that were noticeably sharper than anything else I tested.
For the Kyoto segment, Layla suggested three options: Mitsui Garden (the reliable chain), a family-run ryokan in the Higashiyama district, and a boutique hotel near Nakasendo. Prices listed as $110, $95, and $140 respectively — with actual guest reviews attached, not just star ratings. I verified those prices against current listings. Accurate.
The booking integration was the most functional of anything I tested. Layla could reserve hotels and flights directly. I ran a test booking for San Francisco to Tokyo — not an actual purchase, just walked through the reservation flow — and the whole process took 90 seconds. Selected flight, entered passenger details, confirmed price. Done.
Food recommendations hit differently here too. Instead of “try ramen in Tokyo,” Layla suggested specific neighborhoods — Omoide Yokocho in Shinjuku for old-school yakitori smoke and nostalgia, Ramen Yokocho in Ikebukuro for a younger, louder crowd. It explained what made each area distinctive rather than just dropping an address. That’s the kind of detail that actually helps you decide where to eat on a Tuesday night when you’re tired and hungry and don’t want to guess wrong.
Temple info included opening hours, photo policies, and reservation requirements. Fushimi Inari was flagged as an early-arrival situation — before 8 AM to beat the crowds. Accurate, based on everything I’ve read from people who’ve been there recently.
Limitation: Layla is less conversational. You can’t ask follow-up questions the way you can with ChatGPT. Modifying the itinerary means regenerating it, not editing on the fly. That gets old fast.
Time to generate: 3 minutes. Booking capability: 95 percent. Accuracy: 88 percent.
What AI Travel Planners Still Get Wrong — and Why You Can’t Skip Verification
Here’s the part where I stop being diplomatic. None of these tools — not one — got everything right. And there are specific categories where AI travel planners fail consistently, across the board, regardless of price point.
Seasonal Closures and Renovation
Temples and museums in Japan shut down periodically for maintenance — sometimes for months. Wonderplan caught one renovation closure correctly. Layla caught another. ChatGPT and Gemini sent me toward a garden that was completely closed for the two weeks I was planning to visit. I only found out by calling ahead.
The closure was publicly announced in 2025 — it’s not hidden information. But it wasn’t in the training data or the real-time database. AI tools miss this kind of thing more than they should.
Restaurant Hours and Holidays
Every restaurant in Japan runs on its own schedule. Many close Mondays. Some open late on weekends but close at 8 PM on weekdays. Some don’t start service until 5 PM. National holidays shift everything.
April includes Showa Day — April 29th. Several restaurants the AI tools recommended adjust their hours on that date specifically. Gemini flagged this. The others didn’t mention it at all. Showing up at noon to a restaurant that doesn’t open until evening is a miserable experience — verify hours before you go, every single time.
Advance Reservation Requirements
Some Kyoto temples require advance reservations through Japanese temple associations — not online, not through a booking app. Some Tokyo Michelin restaurants require bookings three to six months out, via phone call, in Japanese, from a Japanese phone number. No workaround.
Layla noted which places required reservations, which helped. But it couldn’t actually make those reservations. That gap is significant — and it’s not going to close anytime soon, apparently.
Transit Schedule Gaps
Tokyo to Kyoto is always 2.5 hours by bullet train — that part’s easy. But which specific train you should catch depends on your departure time, which depends on when your morning activity ends, which depends on factors the AI tool doesn’t know about. While you won’t need a full-time travel agent, you will need a handful of manual checks — particularly around train schedules during peak travel periods. First, you should cross-reference the Hyperdia or Japan Rail website directly — at least if your trip involves any time-sensitive connections between cities. The AI itinerary might be the best option as a starting framework, as complex transit routing requires local real-time data. That is because bullet train booking windows, reserved seating availability, and platform logistics change constantly in ways no AI tool currently tracks reliably.
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