Generic prompts yield generic itineraries. The story tested ChatGPT, Gemini and Claude and extracts actionable steps to make AI travel planning more personalized and reliable.
Give the bot a short travel profile with concrete preferences and any prior research to avoid bland, generic recommendations.
Ask the assistant to pose follow-up questions and iterate — treat planning as a conversation, not a single prompt.
# Why AI travel suggestions can feel bland
# Give the bot a travel profile
Provide a short, consistent travel profile you can paste into the chat. Include concrete likes and dislikes, how you choose restaurants, accommodation preferences, mobility limits, and the purpose of the trip. The article's author recommends bundling that profile into a document you reuse across sessions. Specific examples mentioned include preferences about quirky local guides, avoiding hotel chains, and basing restaurant choices on reviews in the destination language.
# Feed the bot what you already know
# Ask the bot to ask you questions
In every step, ask the model to generate follow-up questions — for example, request five clarifying questions after your initial prompt. Use those follow-ups to narrow priorities like distance willing to travel, tolerance for long transport days, or specific neighbourhoods you want to include or avoid. The article shows this produced useful, targeted suggestions when the bot learned more about constraints.
# Use multiple models and compare
Different chatbots draw on different sources and capabilities. The writer tested free and paid versions of three models and found paid tiers generally handled longer, deeper discussions better. Running the same brief through multiple assistants can surface different neighbourhood suggestions, alternative day-trip ideas, or distinct restaurant picks.
# Practical session tips
# Beware of popularity-driven answers
# How to use AI outputs
# Bottom line
AI travel planning works best as a conversation. The clearer and more specific you make your inputs, and the more you treat the bot as a collaborator that asks clarifying questions, the more tailored and practical the output will be.
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