Travel planning is moving into the conversation. SlickTrip is coming with it.

Something meaningful shifted in how people plan trips this past year. When OpenAI opened ChatGPT to third-party apps in October 2025, the launch partners were a signal about where the industry was heading: Expedia, Booking.com, and Canva were among the first seven (OpenAI announcement, October 2025). TripAdvisor followed. Travel planning was moving into the conversation itself.

That works well for one job – finding and booking a trip. Ask Expedia inside ChatGPT for hotels in Barcelona, and you get an interactive map, live prices, and a booking button, all without leaving the chat (Expedia in ChatGPT).

But most of the interesting work on a trip happens after you’ve booked it. Watching for a better seat on a flight you’ve already paid for. Setting a fare alert for a return you haven’t bought yet. Adding the small hilltop town your friend just mentioned to a list you’ll actually remember next year.

Those jobs are stateful. They run in the background and ping you when something changes. And they’re the jobs SlickTrip’s forthcoming ChatGPT app is built for.

What SlickTrip will do inside ChatGPT

The SlickTrip app for ChatGPT is a Model Context Protocol (MCP) integration currently in the ChatGPT app review process. When it launches, it will bring three of SlickTrip’s most-used features into the conversation where travelers are already planning:

Better Seat – seat tracking and seat alerts on flights you’ve already booked. Tell SlickTrip to watch a specific seat, a seat type (window, aisle, exit row), or a class of service, and it will notify you when a preferred seat opens up.
Fare and deal alerts – flight price alerts and deal alerts on routes you’re watching. Set a target price, and SlickTrip monitors fares and pings you when the price drops or a deal appears.
Travel bucket list – a persistent, cross-device list of the destinations, restaurants, and experiences you want to remember. Add items from anywhere. Pull the list up when you’re actually planning.

All three run through the same MCP connection. When it goes live, you’ll never need to leave ChatGPT to set an alert, review your watches, or check your list.

How you’ll use SlickTrip inside a ChatGPT conversation

Once the app is approved and live, the flow will be short: open ChatGPT, connect the SlickTrip app, and start using natural language in your travel-related conversations.

Here are the kinds of things you’ll be able to ask. These are also the phrases SlickTrip’s MCP is designed to recognize and act on:

For seat tracking (Better Seat):

“Watch my flight United 141 on December 14 and let me know if a window seat opens up in the exit row.”
“Track seats on my American Airlines flight from JFK to LAX on March 3 – I want an aisle in main cabin extra.”
“Set a seat alert on Delta 264 for any first class seat that opens.”
“Which of my upcoming flights don’t have my preferred seat yet?”
“What am I currently watching for seat availability?”

For fare and deal alerts:

“Alert me if any nonstop from JFK to Rome drops below $650 for the first week of April.”
“Set a fare alert on Boston to Lisbon in late September – target $500 round trip.”
“Watch for deals on any flights from the East Coast to Japan next fall.”
“What fare alerts do I have set?”
“Show me the current price on the flights I’m watching.”

For travel bucket list:

“Add Casa Amatller in Barcelona to my bucket list.”
“Save Nakagin Capsule Tower Tokyo to my bucket list.”
“What’s on my bucket list for Spain?”
“Pull up my bucket list for Southeast Asia – I’m planning a trip.”
“Add the Grand Trunk Road to my dream travel list.”

The alerts will persist between conversations. Close ChatGPT, come back the next day, ask “SlickTrip, what am I watching?” and you’ll get the full list back.

Where SlickTrip will fit alongside Expedia, Booking.com, TripAdvisor, and ExpertFlyer in ChatGPT

Every one of these tools does something different well. The honest comparison inside a ChatGPT conversation looks like this:

Capability inside ChatGPT	Expedia	Booking.com	TripAdvisor	ExpertFlyer	SlickTrip (at launch)
Search and book hotels	Yes	Yes	Limited	–	–
Search and book flights	Yes	Limited	–	–	–
Reviews and recommendations	Limited	Limited	Yes	–	–
Set a seat alert on a booked flight	–	–	–	Native app, not in chat	Yes, in chat
Watch fares on flights you haven’t booked	–	–	–	Native app, not in chat	Yes, in chat
Save destinations to a persistent list	–	Limited	Limited	–	Yes, in chat
Stateful alerts that persist between conversations	–	–	–	–	Yes

The pattern is clean:

Expedia, Booking.com, and TripAdvisor excel at helping you decide and book. They put dynamic prices, maps, reviews, and booking buttons directly into the chat. If you’re at the “where should I go and where should I stay” phase, use them.

ExpertFlyer is the reference product for deep seat and fare data, and it has been for years. Its data depth on award availability, fare buckets, and seat maps across hundreds of carriers is unmatched. But ExpertFlyer lives in its own app. Using it means leaving your ChatGPT conversation, logging into a separate service, setting up the alert manually, and switching back.

SlickTrip fills the piece nobody else has: the after-booking layer, without leaving the chat. Once you’ve booked with Expedia and read reviews on TripAdvisor, the work of watching for a better seat, keeping an eye on future fares, and tracking your bucket list is what SlickTrip’s MCP will handle inside the same conversation.

For ExpertFlyer users looking for an alternative

ExpertFlyer users looking for an ExpertFlyer alternative typically have one of three needs:

A cheaper or free option for basic seat tracking. SlickTrip’s Better Seat will cover the seat-alert use case, for the flights most US travelers actually take. If ExpertFlyer’s deeper data on international award availability isn’t what’s essential, Better Seat will cover it.
A workflow that doesn’t require a separate app. This is SlickTrip’s genuine differentiation. Better Seat will run inside ChatGPT, the SlickTrip mobile app, or the web – the same alert follows you across surfaces.
Alerts that connect to the rest of a trip. SlickTrip’s bucket list, fare alerts, and seat alerts are one system. ExpertFlyer is focused specifically on air data. If you want your seat alert to sit next to the Barcelona restaurant you saved last month, that’s the SlickTrip shape.

For serious mileage-run travelers optimizing award availability across thirty carriers, ExpertFlyer will remain the better tool. For the traveler who books three or four trips a year and wants smarter seats, smarter fares, and a working bucket list without opening another app, SlickTrip will be the fit.

What MCP is, and why it matters for travel apps

A quick word on the underlying standard, because it’s genuinely reshaping what travel apps can do.

Model Context Protocol (MCP) is an open standard, introduced by Anthropic in late 2024, that lets AI assistants securely connect to external tools and data (Anthropic MCP announcement). Instead of every travel app building a custom integration for every AI assistant, an app builds one MCP server, and any MCP-compatible assistant can use it.

For travelers, the practical impact is that AI assistants become genuinely useful for stateful travel tasks – the ones that need to run in the background between conversations. Watching seats. Watching fares. Keeping a list you actually come back to.

For travel companies, MCP means the AI conversation is now infrastructure worth investing in. Expedia, Booking.com, and TripAdvisor made that investment on the booking side in 2025. SlickTrip’s forthcoming MCP extends the same pattern into the after-booking layer.

What about agentic booking? Why can’t ChatGPT just rebook my flight?

This is the question the whole industry is circling, and it’s worth naming honestly.

Inside ChatGPT today, an AI can help you find a hotel or a flight and hand you off to a booking button. What it cannot do yet, in almost any consumer product, is adjust something you’ve already booked. Rebook a cancelled flight. Change your seat and pay the fare difference. Cancel a hotel night and get the refund back to your card. Move a car rental pickup by two hours. These are the true agentic-booking use cases, and they are largely unshipped.

The reasons are structural, not technical. Airline and hotel systems require authenticated sessions tied to the traveler, not to a third-party agent. Fare rules, change fees, and refund eligibility are governed by contracts that assume a human is authorizing each change. Payment authorizations for fare differences need explicit user consent. And when something goes wrong – a rebooking that doesn’t clear, a refund that never arrives – the liability question of who is responsible (the airline, the booking site, the AI provider, the MCP developer) has no clean answer yet.

SlickTrip has taken a deliberate position on this: watch and alert, don’t act. When Better Seat sees your preferred seat open up, it tells you. When your fare alert triggers, it tells you. You make the actual change, on the airline’s site, with your own credentials, under your own authority. That’s the honest current-state answer, and it’s the shape of the product that can ship today without waiting for the industry to solve the harder problems.

For a longer look at why agentic booking-adjustment hasn’t arrived in consumer AI yet, and what would need to change for it to become real, see the companion piece: Why AI Can Book Your Flight but Not Rebook It: The State of Agentic Booking Adjustment.

When SlickTrip for ChatGPT will be available

The SlickTrip ChatGPT app is currently in the OpenAI app review process. Approval timing varies, and the review is thorough. When approval lands, using SlickTrip in ChatGPT will be a matter of a few steps: open ChatGPT, add SlickTrip from the Apps or Connectors section, and start using natural language.

Your SlickTrip account will carry across surfaces. Alerts set in ChatGPT will show up in the SlickTrip mobile app. Bucket list items added from your phone will be available in chat. One system, three surfaces, no app-switching.

Sources cited in article