Full Breakdown
AI Chatbots Put to the Test for Vacation Planning
8/10/2026, 11:32:17 AM
Core Event: Real-world trial of Gemini, Claude and ChatGPT for a summer trip
A technology writer used Google’s Gemini, Anthropic’s Claude and OpenAI’s ChatGPT to plan a four-day solo trip to North Goa with a INR1,00,000 budget. Detailed prompts guided the bots through itinerary creation, refinements, and on-the-ground assistance.
Background & Context: AI travel planning as a recurring use case
Since large-language models emerged, travel-planning demos have appeared in product keynotes and marketing material, prompting users to try the capability with their own trips.
User Experience with Gemini
- Initial itinerary – Gemini produced a day-by-day plan that included recent restaurant reviews, traffic data and Google Maps visuals.
- Prompt refinements – The writer asked Gemini to drop restaurants below a 4.2 rating, exclude previously visited spots and add water-sports, mangrove kayaking and a spice-farm visit. Gemini used the writer’s Google Maps history to avoid repeats.
- Strengths – Direct integration with Google services delivered live routes, public-transit directions and hotel listings within the chat.
- Weaknesses – Gemini often forgot that the trip was solo, offering group-oriented suggestions until reminded.
Comparative Assessment of Claude and ChatGPT
- Claude – Retained nuanced preferences such as a slower pace and a single relaxed meal, and flagged overly packed days, steering the plan toward feasibility.
- ChatGPT – Handled logistical details efficiently, syncing with calendar events, spotting overlaps and making minor tweaks without regenerating the whole itinerary.
Impact: What the trial reveals about AI travel assistants
The trial shows that large-language models can generate full itineraries, but usefulness depends on integration and memory. Gemini’s Google coupling supplies real-time data, yet its limited contextual memory reduces personalization. Claude excels at preference-driven curation, while ChatGPT offers reliable incremental editing and strong logistical reasoning. Users may benefit from a hybrid approach: Gemini for live navigation, Claude for style, ChatGPT for schedule coordination.
Conclusion: No single assistant dominates every planning stage
The writer will keep using Gemini for short trips because of its speed in creation and navigation. For longer journeys, starting with Claude or ChatGPT to set preferences and logistics, then adding Gemini’s live data, appears most effective. The experiment underscores that AI travel planning remains a multi-tool workflow, each model contributing distinct advantages.
