Listen to the podcast episode
Or listen now on Apple Podcasts or Spotify.
Key Takeaways
AI is changing the top of the funnel, not where you get paid: Headlines about half of all searches moving to AI conflate trip inspiration with transactions. Vacation rental marketing dollars have always worked best at the bottom of the funnel — travelers choosing between this property and that one — and that layer is barely shifting. Open Google Analytics and the story is clear: search, direct, email, and organic still drive the traffic, bookings, and revenue.
The real AI traffic number is 2 to 5 percent: Best case, AI assistants send 8 to 10% of site traffic; for most managers it’s 2 to 5%, often dozens of visits a week even in competitive markets, and the share of bookings is smaller still. Be equally skeptical of self-reported usage: in one study, shoppers claimed they discovered a brand on a TV show it had never appeared on.
Travelers don’t trust it yet, and half hit errors: Only 24% of travelers trust an AI travel recommendation — 33% even among millennials and Gen Z — and over half reported errors in what AI told them. The scarier failure is zero-click wrongness: when the answer misstates your business and nobody clicks through, you never get to correct it. Worry less about showing up and more about what’s said when you do.
You can’t book a vacation rental through AI anyway: Try to complete a reservation inside an AI assistant — at some point you’re jettisoned to Airbnb, Vrbo, or a direct booking site to finish. That makes the AI conversation one more touchpoint, a new strand of spaghetti in the same pot as Meta, email, and brand reputation. If the click arrives higher-intent, great — the booking still happens on a website.
The OTAs will win AI search the way they won Google: The platforms carry enormous default trust — Conrad’s own Google rep, minutes before reviewing a five-figure-a-month ad account, told him to go rent an Airbnb. Expect OTAs to benefit from LLM search like they benefit from regular search. That’s fine: the OTA is filling 20,000 homes in your market, you’re filling 200 — you don’t need to outspend them, you need profitable marketing.
AI visibility is earned through the marketing you’re already doing: The engines cite what your existing marketing produces — video, organic content, reviews, an accurate Google Business listing. You don’t earn AI visibility by chasing AI; you earn it by running traditional channels well enough that the models find you when they parse the web. The AI channel is driven by every other channel.
If you’re under a million in revenue, double down — don’t diversify: A management company under $1M in its own revenue — roughly $5-7M in rental revenue — has three to five things it should be running at two to ten times current volume before touching anything exotic. Becoming AI-bookable for the seven users of some random MCP is a distraction. During the COVID boom, experiments were cheap; in a down year, focus is the edge.
Guests don’t want an AI chatbot in the booking path: A guest who reaches your website wants simplicity and a confirmation, not a conversation — on-site AI booking agents see minimal adoption. Put AI into your operations instead. Early adopters who plan everything through chatbots assume everyone behaves like them; the average traveler wants a great property at a fair price and judges you by reviews and service.
Test with 10-20% of budget, then let the spreadsheet vote: It’s fine to sit on the sidelines — nothing is racing past you — and it’s fine to carve out 10 to 20% of budget for experiments. What’s not fine is skipping the review: the creative brain proposes, the spreadsheet brain decides, and only channels that prove profitable keep their budget. Feeling future-proof is not a metric; Airbnb’s 15-20% commission gives you a clean acquisition cost to beat.
What We Cover In This Episode
For episode 200, Conrad and Paul take stock of AI travel planning at the midpoint of 2026 — what the traffic and trust numbers actually show, why vacation rental bookings still end on a website, and how a small manager should split budget between proven channels and experiments.
