How to Plan a Trip Using AI (Without Getting Bad Recommendations)

AI can build you a full travel itinerary in under a minute. According to a 2024 study by Tripadvisor, 43% of travelers have already used generative AI for trip planning, and that number is growing fast. The problem is that about half of what it suggests might not exist. Ask ChatGPT for a restaurant recommendation in Lisbon and there’s a decent chance it’ll invent a place that sounds right but isn’t real. The name, the neighborhood, the “cozy family-run spot with amazing bacalhau.” All plausible, all fiction.

That’s not a reason to skip AI for travel planning. It’s a reason to use it carefully. When it works, it saves hours of cross-referencing blog posts, Reddit threads, and Google Maps pins. Here’s how to get the most out of it.

What AI is good at (and what it’s not)

AI is excellent at structure. Tell it you have 4 days in Barcelona and it’ll give you a logical day-by-day breakdown with sensible pacing. Mornings for sights, afternoons for neighborhoods, evenings for food. It knows that Park Güell and the Bunkers del Carmel are both uphill and should be on the same day. It knows you don’t want three museums in a row.

AI is also good at personalization. “I’m traveling with a toddler” or “I don’t like crowds” or “I’m vegetarian.” These constraints are hard to apply to a generic blog itinerary but easy for AI to factor in.

Where AI falls apart: specific recommendations. Restaurant names, opening hours, seasonal closures, ticket prices. Large language models generate text based on patterns, not real-time data. That sushi spot it recommended in Shibuya? It might have closed in 2023. Or it might never have existed at all. This is the hallucination problem, and it’s the biggest trap in AI travel planning.

The ChatGPT approach (and its limits)

The simplest way to use AI for travel planning: open ChatGPT (or Claude, or Gemini) and type “plan me a 5-day trip to Rome.” You’ll get a reasonable outline in seconds.

This works well as a starting point. The day-by-day structure will be logical. The major sights will be there. The pacing will be sensible.

Then verify everything. Every restaurant name, every “hidden gem,” every museum it mentions. Search each one on Google Maps. You’ll find that some places don’t exist, some have moved, and some are closed on the day it scheduled them. Budget 30 minutes to fact-check a 5-day itinerary. It’s faster than building one from scratch, but it’s not the zero-effort experience the AI hype suggests.

Tips for better ChatGPT itineraries:

• Be specific about your constraints. “I’m arriving at 2 PM on Thursday and leaving Sunday at noon” gets a better plan than “4 days in Rome.”
• Mention your interests. “I care more about food than museums” changes the entire plan.
• Ask for neighborhoods, not just sights. “Where should I wander for an afternoon?” gets you better answers than “what are the top attractions?”
• Request walking distances. Add “keep each day’s activities within walking distance of each other” to avoid plans that have you crossing the city four times.
• Don’t trust restaurant names. Seriously. Cross-reference every single one on Google Maps.

AI travel apps: the next step

The gap between “chatbot that generates text” and “travel planning tool” is pretty wide. A chatbot gives you a wall of text. A travel app gives you a map, a schedule, and places you can actually navigate to.

A few apps have started bridging this gap. They use the same underlying AI models but add a layer of verification. They check suggestions against real place databases, add map pins with actual coordinates, and calculate travel times between stops.

Tripstitch takes this approach by running every AI suggestion through Apple Maps. The AI generates the plan structure (which neighborhoods to visit, how to pace your days) but when it needs a specific restaurant or museum, it searches Apple Maps for real places in the right area. The result is an itinerary where every pin on the map is a real, verified location. You can chat with the AI to adjust the plan, and changes update the map in real time.

This is where AI travel planning is heading. The creative work (pacing, theming, routing) stays with the AI. The factual work (real places, real hours, real distances) gets grounded in actual data. It’s a better split than asking the AI to do both.

How to verify an AI travel plan

Whether you’re using a chatbot or an app, here’s how to sanity-check what you get:

1. Map it out. Drop every location into Google Maps or Apple Maps. If two consecutive activities are 45 minutes apart by transit, the plan needs adjusting. Good AI tools do this automatically. Chatbots don’t.

2. Check opening days. Museums close on Mondays in most of Europe. Many restaurants close for lunch or don’t open on Sundays. The AI often doesn’t know this. A 30-second Google search per venue saves you from showing up to a locked door.

3. Look for fictional places. Search for the exact name of every recommended restaurant and bar. If Google has no results, it’s hallucinated. If it exists but has 2 stars, the AI picked it because the name sounded good, not because it’s worth visiting.

4. Check seasonal relevance. AI doesn’t know what month you’re traveling unless you tell it. A plan that includes cherry blossom viewing in Tokyo is great for late March, useless in August. Always include your travel dates.

5. Read one real review. For each key recommendation, skim one TripAdvisor or Google review. You’ll quickly spot places that are tourist traps, permanently closed, or just not as good as the AI made them sound.

Building your own AI-assisted workflow

Here’s a practical workflow that combines AI speed with human judgment:

Step 1: Generate a skeleton. Use AI (chatbot or app) to get a day-by-day framework. Don’t overthink the prompt — just destination, dates, interests, pace preference.

Step 2: Gut-check the structure. Does the day-by-day flow make geographic sense? Are mornings used for popular spots (fewer crowds) and evenings for food neighborhoods? Rearrange if needed.

Step 3: Replace weak recommendations. Keep the structure, swap in better specific picks. Use Google Maps, Reddit’s city subreddits, and Eater (for food cities) to find places that real people recommend. The AI got the neighborhoods right. Now you’re filling in the best spots within each one.

Step 4: Add logistics. Transit directions between stops, ticket booking links for anything that sells out, reservation reminders for popular restaurants. This is the tedious part that AI skips.

Step 5: Make it accessible offline. Whatever tool you end up with, make sure it works without data. Download offline maps, screenshot your plan, or use an app that supports offline access. You will lose signal.

So is it worth it?

AI won’t plan your entire trip perfectly. Not yet. But it gets you 70% of the way there in 5 minutes instead of 5 hours. A 2024 Booking.com survey found that travelers spend an average of 5 hours researching and planning a single trip — time that AI tools can cut to under 30 minutes. The remaining 30% (verifying places, swapping in better picks, adding the details that make a trip yours) is still on you.

Use AI for structure and discovery. Do your own research for the specifics. Let it handle “what order should I see things in” and “what neighborhoods are near each other.” Pick your own restaurants.

Or use a tool that grounds its suggestions in real data, so you can skip most of the verification step. Either way, you don’t need to spend a full weekend in TripAdvisor tabs anymore. You just need to be a smart editor, not a blank-page planner.