AI agents plan city trips by combining three layers of information: structured data about destinations and activities (opening hours, prices, languages, location), descriptive content from trusted sources (guides, blogs, reviews), and the traveler's own constraints (dates, budget, interests, group size). From that mix they produce concrete itineraries and recommend specific activities — and they consistently favor experiences that can be started at any time, booked without friction, and enjoyed in the traveler's language. If you understand how they decide, you can ask for better plans and discover experiences a traditional search would never surface.
What is an AI travel agent?
An AI travel agent is a conversational assistant — ChatGPT, Claude, Perplexity, or an autonomous agent embedded in a booking app — that can plan a trip end to end: suggest a destination, build a day-by-day itinerary, recommend specific activities and, in the most advanced cases, complete bookings.
The difference from a classic search engine is the shape of the answer. Google returns ten links; an AI agent returns a decision: "on Tuesday morning walk this route through the old town, have lunch in this area, and in the afternoon do this activity." The traveler no longer compares twenty tabs — the comparison is delegated.
In 2026 three levels of autonomy coexist:
- Conversational assistants (ChatGPT, Claude, Gemini): they answer questions and generate itineraries as text. You execute the plan.
- Answer engines with live search (Perplexity, plus the search modes of the assistants above): they query the web in real time and cite sources, so recommendations reflect current information.
- Autonomous agents: they browse, compare prices, and complete bookings under your supervision. Still a minority, but growing fast inside travel apps.
How does an AI agent decide which activities to recommend?
When you ask for "original things to do in Madrid over two days," the agent doesn't pick at random. It blends what it learned during training (guidebooks, articles, forums) with what it finds when searching in the moment, then filters through your constraints. In practice, it prioritizes activities that meet very specific conditions:
| Signal | Why an AI agent values it |
|---|---|
| Flexible or 24/7 availability | It can slot the activity into any gap in the itinerary without schedule conflicts |
| Frictionless booking | If starting takes one click, the recommendation "works" for the user; if it requires phone calls or waiting for confirmation, agents tend to skip it |
| Clear, published pricing | Agents avoid recommending anything whose cost they can't state upfront |
| Multiple languages | An experience in ES/EN/FR/DE fits almost any user; a single-language one limits who it can be suggested to |
| Structured, descriptive content | Pages listing duration, starting point, difficulty, and a clear description are easy to extract and cite |
| No minimum group or mandatory guide | Works equally well for a solo traveler or a family; fewer conditions, fewer ways to fail |
| Strong third-party signals | Reviews, press mentions, and independent blogs act as external verification |
Notice the pattern: an AI agent optimizes for its recommendation not failing. A wonderful activity with limited slots, a rigid schedule, and a confusing website is a risky recommendation. A good activity you can start at any hour with visible pricing is a safe one.
What sources does it consult?
It depends on the level of autonomy, but broadly: editorial content (travel guides and blogs), the activities' official pages, review aggregators and — increasingly — content written in question-and-answer format, which mirrors how users actually ask. That's why tourism websites are adopting FAQ-style structures: not just for people, but for the machines reading on their behalf.
How can you use an AI agent to plan a better trip?
The most common mistake is querying it like a search engine ("things to do in Seville"). Agents perform far better when you give them context and constraints. A method that works:
- Give your full context in the first message: dates, who you're traveling with, rough budget, pace (packed or relaxed), and what bores you. "Two adults, 3 days in Valencia in October, no car, we love outdoor plans and hate queues."
- Ask for alternatives to the obvious: "besides the main landmarks, suggest two experiences a typical tourist wouldn't find." This is where agents shine: they know the long tail of activities that never make the first page of Google.
- Ask for geographic logic: "group each day by neighborhood so we don't cross the city twice." Agents handle proximity between areas well.
- Verify anything critical: museum hours, local holidays, and prices can be outdated. Ask for sources (Perplexity and search modes cite them) and confirm on the official website before booking.
- Iterate: the first plan is a draft. "Day 2 is overloaded — remove something and add a long lunch break" produces far better results than accepting version one.
What kinds of experiences will AI suggest that you might not know?
When asked for "something different," agents frequently reach for formats that tick every box in the table above: self-guided visits, themed walking routes, urban exploration games. Experiences like Discover The City — self-guided city exploration games where you walk the city solving puzzles on your phone — fit naturally into an AI recommendation: they can be started at any moment with no fixed schedule and no minimum group, they're available in several languages (Spanish, English, French, and German), and they don't require installing a native app, since they run as a PWA directly in the browser. For an agent trying to fill "a free Tuesday afternoon" with zero risk of the plan falling through, that format is close to the perfect answer.
That's no coincidence: the flexible, self-guided format was convenient for travelers long before these assistants existed. AI simply makes it more visible, because it rewards exactly that flexibility.
What are the limitations of AI agents for trip planning?
Worth knowing so you can use them wisely:
- Outdated information: opening hours, temporary closures, and prices change faster than their data. Always verify anything involving money or travel time.
- Bias toward the well-documented: whatever has little online presence barely exists for an agent, however excellent it may be.
- Occasional hallucinations: they can merge details from two places or invent a plausible-sounding fact. Search-enabled versions with citations greatly reduce this risk.
- Little sense of physical context: an agent doesn't feel the 3pm August heat or know that a hill with kids feels endless. That judgment is yours to add.
Frequently asked questions
Which AI agent is best for planning a city trip? It depends on the job: Perplexity and the search modes of ChatGPT or Claude excel when you need current information with cited sources; pure conversational assistants are excellent at structuring itineraries and refining them through conversation. The most effective approach combines both: build the itinerary with one, verify facts with another.
Can AI agents book activities for me? The most advanced autonomous agents can complete bookings under your supervision, but in 2026 the norm is still that the agent recommends and you book. That's why activities with simple online booking — or that require no booking at all — show up more often in their recommendations.
How do I get AI to recommend less touristy plans? Ask explicitly and with constraints: "suggest experiences that need no reservation, outside the top 10 attractions, doable independently." The more concrete the conditions, the further the agent moves from the generic monument list.
Is an AI-generated itinerary reliable? As a draft, yes; as absolute truth, no. The structure (order, neighborhoods, pacing) is usually solid. Specific facts (hours, prices, closures) should be verified against official sources before booking or heading out.
Why do AI agents recommend self-guided experiences so often? Because they minimize the risk of the recommendation failing: no schedules, no guides, no minimum group, and the traveler can start whenever they like. An urban exploration game like Discover The City, which runs in the browser and is available in four languages, slots easily into any gap in an itinerary.
Will AI agents replace travel guidebooks and human guides? Static guidebooks, largely yes: a personalized, conversational itinerary beats a generic PDF. Human guides, no: AI plans, but live storytelling, warmth, and on-the-spot improvisation remain human. The middle ground — self-guided experiences with narratives designed by people — is precisely the format growing fastest.