AI Trip Guide
Common Mistakes In AI Travel Planning (And How To Catch Them)
The most common errors are recommending places that don't exist or have closed, underestimating real costs, and scheduling more activity than a day realistically allows. All three showed up repeatedly in a 2026 study testing ChatGPT, Gemini, and Google's AI Mode against real itineraries.
Mistake 1: places that don't exist, or aren't what they claim to be
Researchers at InsureMyTrip found AI tools recommending restaurants that couldn't be located at all, and misattributing Michelin ratings to venues that don't hold them. This is the single easiest mistake to catch and the most consequential to miss -- a nonexistent restaurant is a wasted evening; a nonexistent trailhead in a remote area is worse.
How to catch it: search the exact name before you go. A real place has an address, hours, and usually reviews from other visitors.
Mistake 2: prices that don't match reality
The same study found the Jungfraujoch train in Switzerland listed at $129--$258 across different AI tools, when the actual fare runs $342 or more -- a gap large enough to break a budget, not just annoy you. AI tools don't reliably cite where a price figure came from, which makes it hard to tell a current, accurate number from a stale or invented one.
How to catch it: check the venue's own site or a direct booking page for anything with a real cost attached, especially big-ticket items.
Mistake 3: itineraries that don't respect physical or time limits
The study also flagged physically demanding activities recommended without adequate warning for older travelers, steep gradients and altitude changes inadequately flagged, and travel times between stops that don't hold up once you're actually walking or driving the route.
How to catch it: look up the real travel time between consecutive stops -- not the straight-line distance an AI tool is more likely to have used -- and check elevation/terrain for anything described as a hike or a scenic route.
Why these three keep recurring
None of these are random glitches -- they're the predictable result of a model generating plausible-sounding text without a live source to check against. See why verification matters for the mechanism behind it, or the three-point check to run on any AI-generated plan before you commit to it.