How to Use AI to Plan an RV Road Trip: Real Prompts, Real Routes, and What Actually Works

This is part of Working From the Road series, using AI tools for real RV travel and remote work in 2026.

AI will draft your stops. It will not book them, and it will not know your rig's height before it sends you toward a low bridge. That is the whole deal with using ChatGPT or any other AI tool for RV trip planning: it is a fast first draft, not a substitute for checking your rig against the road yourself.

Before my wife and I drove to Tennessee for a month of boondocking and remote work, on family property in April 2026, I sat down with ChatGPT and planned the entire trip. I gave it specific constraints and it gave me back a day-by-day itinerary with campgrounds, restaurants, things to do, and e-bike trails, all formatted in a table I could copy straight into Excel. I wrote up what that month actually looked like, mice and mud included, in the full boondocking piece. What follows here is the planning side of it: the prompts themselves, plus the Colorado Springs to Buffalo prompt already on this page. That Buffalo prompt is a worked example of the method. This page does not treat it as the Tennessee trip.

It worked. Not perfectly, but well enough that I knew what was ahead of me at every stop. That matters more than most people realize when you are driving a 24-foot RV through states you have never been to. After years at Delta and a career in IT, I have planned a lot of trips the hard way, tabs open everywhere, half of them stale by the time I book. This was the first time planning felt fast instead of exhausting.

Watch: How I Use ChatGPT for RV Trip Planning

In this video I walk through the exact prompts I use, how to get the output in table format, and how to refine the results by adding criteria like rest days, website links, and specific activities.

The Basic Prompt That Starts Everything

Here is what I told ChatGPT, starting from home base in Colorado Springs, one of the most beautiful cities I have lived in and hands down my favorite place to start a road trip:

Plan me an RV road trip from Colorado Springs to Buffalo, NY. Use I-80 and I-90. Keep daily driving under 200 miles. Find highly rated state park campgrounds at each stop. Include historic attractions and things to do near each campground. Format the output as a table.

That one prompt gave me a complete multi-day itinerary with mileage, campground names, nearby attractions, and activities, all in a table I could copy into Excel.

The table format is the key. When ChatGPT outputs a table, you can paste it directly into a spreadsheet. Now you have a clickable, sortable, portable itinerary on your phone or laptop. No app required. Just a spreadsheet.

Stacking Criteria: Where AI Gets Powerful

The basic prompt gets you started. The real value is in stacking additional criteria on top of it. After the first output, I followed up with:

• "Add the best-reviewed restaurants near each campground", now every stop has a dinner recommendation. I grew up in New Mexico, so if a place looks bland on paper I already know I am asking for extra heat when I get there.
• "Find Rails-to-Trails paths or e-bike trails near each campground", I ride an e-bike, so this matters to me. ChatGPT found trail names and lengths at most stops.
• "Add direct website URLs for each campground and restaurant", clickable links right in the spreadsheet.
• "Add two rest days, one in the middle and one near the end", because driving 200 miles every single day in an RV gets old fast, and we eat dinner early, so a long travel day that pushes us past 5pm is a day I want fewer of, not more.

Each follow-up prompt refined the itinerary further. Within about 20 minutes, I had a trip plan that would have taken hours to build manually, searching Google Maps, cross-referencing campground reviews, looking up restaurants, finding bike trails. AI collapsed all of that into a conversation. If you also want a rough daily budget, add one more line: "Estimate average nightly campground cost and fuel cost per day for a 24-foot Class C." I have not run that one myself yet, but it is the natural next stack on top of this same prompt. Whatever number it gives you back, check it against the campground's own listed rate and your last fuel fill-up before you trust it. AI pricing data goes stale fast, and it will not tell you that on its own.

Verify Before You Book

A ChatGPT itinerary is a draft, not a reservation and not a route check. I have not run the Tennessee route through Trip Wizard, and I am not going to pretend I did. If you do not already know your roads, do not skip the check below. What I am about to tell you about the routing tool itself is research, not a hands-on test, so here is exactly where it comes from.

The tool the RV crowd actually uses for this is RV LIFE Trip Wizard. I read its own product page directly on Oct 2 2026: you enter your height, weight, and length, and it routes around low bridges and steep grades the way a car GPS never will, per that page. I did not sign up or run a route through it myself. Winnebago backs up the underlying warning independently. Winnebago builds RVs, it does not sell routing software, so it has no reason to push you toward a competitor's tool, and its own trip-planning guide makes the same point about ChatGPT directly: it does not know your clearance, and you still need an RV-aware tool for that part. Winnebago's guide, also checked Oct 2 2026, is worth reading if you want that argument in full.

For the campground itself, book on the park's own reservation page, or through Recreation.gov for federal and many state sites, checked the same day. ChatGPT cannot tell you if a site is open on your dates. Before you commit to any stop on an AI-built itinerary, run through this short list, built from where an AI itinerary actually falls short in practice:

• Bridge and grade check for your route in a rig-aware app, a phone GPS.
• Site length against your actual rig length, "campground has space."
• Hookups or no hookups, confirmed, not assumed from the listing.
• Reservation actually open for your dates, booked on the park's own site or Recreation.gov.
• A backup stop picked in case the first park is full when you call.

What AI Gets Right

Route planning with mileage constraints is the clearest win. Telling it to stay under 200 miles per day is something Google Maps cannot do easily; you would have to calculate each segment by hand. ChatGPT just does it. It is also good at stacking multiple interests at once: campground, restaurant, e-bike trail, under 200 miles, state parks only. Try that search on Google and you need five tabs open for every single stop. AI pulls it into one response.

The table output is the part people underrate. A formatted table copies cleanly into Excel or Google Sheets, so you end up with a portable trip planner that works offline. It also pulls in review data so you are not guessing which campground is decent, though it is not always right, it just gives you a better starting point than a random pick off a map.

What AI Gets Wrong (Or At Least Incomplete)

It gives you more than you will use. Every stop had three or four restaurant suggestions, two or three attractions, trail options. That is helpful for planning but a lot to sort through on the road, and I probably used 30 to 40 percent of what it recommended. I would rather have fewer, better picks than a wall of options, that is just how I value my time now.

Campground availability is not real time. ChatGPT can tell you a state park campground exists and is highly rated. It cannot tell you if it has openings on your dates. That is the biggest gap: the AI plans the trip, you still book it yourself, by phone or on the reservation site.

Some recommendations are outdated, pulled from training data instead of live information. A restaurant it suggests might have closed. A trail might be under construction. Always verify the stops that actually matter before you commit.

And it does not know your RV unless you tell it. It has no idea your rig is 11 feet tall, 24 feet long, or that you need 30-amp hookups until you put those numbers in the prompt. Leave them out and it might send you toward a low bridge or a campground that only fits tents, which is exactly why the verify step above exists.

The Prompt Template I Recommend

If you want to try this yourself, here is a prompt template that works well:

Plan an RV road trip from [START] to [END]. Use [SPECIFIC HIGHWAYS if you care]. Keep daily driving under [MILES] miles. Find highly rated [STATE PARKS / RV PARKS / FREE CAMPING] at each overnight stop. My RV is [LENGTH] feet long and [HEIGHT] feet tall and needs [30/50 AMP] hookups [or no hookups needed]. Include the best-reviewed restaurants near each campground. Find [YOUR HOBBY, e-bike trails, hiking, fishing, etc.] near each stop. Add rest days every [NUMBER] days. Include direct website URLs. Format everything as a table.

The more specific you are, the better the output. Do not ask "plan me a road trip." Tell it exactly how far you want to drive, what kind of campgrounds you prefer, and what you want to do at each stop. Then run the output past the verify list above before you book anything.

Which AI Tool Is Best for Trip Planning?

I used ChatGPT for the video above, but any of the major AI tools work for this:

Tool	Trip Planning Strength
ChatGPT	Best conversational flow, easy to refine and iterate naturally
Google Gemini	Good for route-specific questions since Google owns Maps data
Grok	Most thorough research, gives detailed campground and trail info
Claude Code	Can actually create files, build spreadsheets, and save the itinerary to your computer

For pure trip planning conversation, ChatGPT or Gemini is the easiest starting point. For the deepest research, Grok. If you want the AI to actually build and save the spreadsheet file for you, Claude Code does that. I use all four of these for different jobs day to day, trip planning included, and I broke down what each one is actually good at in I Use 4 AI Tools Every Day.

The Bottom Line

AI trip planning is not going to replace your judgment. You still need to verify availability, check road conditions, and make the final calls. But it eliminates the most tedious part of trip planning, the hours of searching, comparing, and cross-referencing that used to take an entire evening.

I spent about 20 minutes with ChatGPT and had a complete multi-day RV itinerary with campgrounds, restaurants, e-bike trails, and rest days. That same research would have taken me three to four hours on Google, and the output was organized in a spreadsheet I could pull up from my phone the whole trip. Run it through the verify list, book on the park's own site or Recreation.gov, and you keep the speed without the risk.

That is the best ROI tool in my RV travel kit, right alongside the EcoFlow battery and Starlink dish I carry in the gear list below. That is the whole idea behind this Second Wind: fewer wasted hours, more miles that actually feel like the reward.

The tools and the exact prices will keep shifting. What will not change is the method: give the AI your rig's real numbers and your real priorities, stack your follow-ups, then run the result past the verify list above before you book a single night. Open a chat right now, paste the template from above with your own start, end, and rig size, and see what comes back.

Related Reading

• Your AC Will Kill Your Starlink
• Generator Math
• The 72-Hour Clock
• Mice, Mud, and Meetings

Dominic Ferrara is a technology leader who uses AI tools for work and RV travel. He writes about the intersection of technology, remote work, and RV life at dominicferrara.com.

Transparency: Articles on this site are written with AI assistance (Claude Code) and reviewed, edited, and fact-checked by Dominic Ferrara based on personal experience.

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RV road-trip gear & tools I use

These are affiliate links. I only list gear I actually run in my own rig, and they do not change what I told you above.

• Navigation: RV-specific GPS units · RV leveling blocks
• Internet: Starlink Residential
• Power: EcoFlow Delta
• Comfort: RV surge protectors · portable tire inflators