Preparing a trip is already a bit like traveling. Before packing a suitcase, the online research phase offers a playground that is often underutilized. Between AI-generated itineraries and collaborative platforms, the possibilities go far beyond simple hotel bookings. Here are some concrete ideas to turn this step into a full-fledged activity.
Audit an AI-generated itinerary before booking
Have you ever tested an AI assistant to plan a stay? The result often resembles an appealing program on paper, but is difficult to realize as is. Personal constraints (budget, transport schedules, accessibility, actual availability of accommodations) are not always properly integrated by these tools.
A useful preparatory activity is to check each step of an automatic itinerary against a human checklist. Take the generated program and confront it point by point: does the hotel still exist at that price? Is the journey between two cities realistic for a day? Is there a local holiday that closes the planned museums?
This verification work transforms a passive list into a real project. It also helps to spot generic suggestions that the AI recycles from one traveler to another, without taking your actual preferences into account. Whether in a couple or among friends, it’s a collaborative activity that can be done via video conference, with each person checking a segment of the route.
To fuel this research, you can discover Voyageurs Créateurs online and explore activity formats designed by travelers for other travelers.
Collaborative mapping: create a shared travel map
Instead of compiling lists of places in a text document, a shared interactive map changes the preparation dynamic. Free tools like Google My Maps or uMap allow you to place markers, add notes, and color-code areas by theme (gastronomy, hiking, heritage).
Building a map collaboratively makes the preparation visual and tangible. Each participant pins their findings, comments on others’ suggestions, and identifies geographical groupings that will dictate the final itinerary.
The main advantage is practical: on-site, the map remains accessible offline if you download it in advance. It replaces scattered screenshots across three different messaging apps. And it keeps a usable record for a future trip to the same region.
Travel research: going beyond traditional engines
The way we seek inspiration for a stay has changed. According to an analysis by Phocuswright published in 2026 and relayed by MundoTrip, travel research is now divided among social networks, AI assistants, online reviews, specialized sites, and messaging apps. The traditional search engine is no longer the sole starting point.
Practically, this opens up preparatory activities that we don’t always think of:
- Exploring geolocated hashtags on social media to spot places photographed by locals, not just by travel influencers.
- Asking an AI assistant not to get a complete itinerary, but to compare specific options (ferry schedules, cost of a transport pass, seasonal weather).
- Joining a thematic discussion group (forum, messaging) dedicated to the intended destination, to ask targeted questions to recent travelers.
The idea is not to use all these channels, but to test one or two that you have never explored. Changing your source of information alters the nature of discoveries.
Online creative activities to immerse yourself before departure
Preparation is not limited to logistics. Online activities allow you to culturally immerse yourself in a destination before you set foot there.
A cooking class via video conference with a local resident introduces you to products, techniques, and culinary vocabulary that you will encounter on-site. Several platforms offer this format, often for a modest cost.
In the same vein, conversational language workshops focused on travel are available online. Learning to order in a restaurant, ask for directions, or negotiate a price at the market in the local language radically changes the experience on-site.
For destinations with a strong visual identity, creating a digital travel journal before departure constitutes a full-fledged activity. You gather archival photos, excerpts from stories, sketches of old city plans. This journal then becomes a comparison tool between your expectations and the reality on the ground.
Setting the limits of AI in trip preparation
Artificial intelligence is now accepted for the inspiration and comparison phase. However, travelers remain reluctant to entrust it with engaging decisions such as autonomous booking, payment, or subjective choices (neighborhood, type of experience).
This distinction should be made early in the preparation. Using AI to generate an initial list of restaurants in a specific neighborhood is fine. Delegating the final choice without checking recent reviews, the menu, and the hours is not.
- Ask the AI to list, not to decide. Keep the validation for yourself.
- Always cross-check an AI suggestion with at least one human source (dated review, forum, local contact).
- Note any factual errors you spot: this refines your future queries and makes you more efficient in using these tools.
An itinerary prepared methodically is worth more than a fully automated program. Online research, when conducted as an activity in itself, produces a trip better suited to your desires and less exposed to unpleasant surprises. The time invested before departure directly translates into the quality of the stay.
