If you’ve been a Revenue Manager or General Manager in the car rental industry for a while, you already know the harsh reality: brokers and intermediaries still dominate your distribution mix. For years, the traditional setup has been clear—search engines drive traffic to massive broker platforms that act as the transactional layer, relegating your rental company to the role of a mere supplier. Despite countless "book direct" campaigns, a vast majority of travelers still begin and end their searches on third-party platforms that rank options by price and convenience in milliseconds.
But in 2026, a tectonic shift is underway.
We are entering the era of what experts call agentic booking behavior. Travelers are increasingly turning to AI-powered travel assistants—like Gemini, ChatGPT, or integrated AI planners—to not only discover options but to execute the booking for them. This evolution represents a golden opportunity for car rental operators to bypass brokers, capture direct intent, and reclaim their margins.
Here is how you can leverage AI and Large Language Models (LLMs) to outpace intermediaries in 2026.
1. Capitalize on Direct AI Integrations
To understand the future of car rental distribution, we must look at the recent moves made by global travel leaders. Marriott recently officialized a direct integration of its pricing and availability with Google’s "AI mode". This is not just a marketing gimmick; it is a profound reorganization of travel distribution.
With AI search, the traveler's intention is captured in natural language right from the start. A query like "Premium SUV with a child seat at Miami Airport, late arrival" is understood, filtered, and directly matched by the AI. By plugging your fleet’s live data directly into these LLM ecosystems, the AI becomes a "converter of intention," connecting the renter straight to your brand without forcing them through a broker's platform. This offers a direct opportunity to reduce your dependency on hefty broker commissions.
But there's more: customers now want a complete itinerary for five days in Marrakech or Crete. The car rental company that manages to appear in the results for this query, for example, “you should book a car with X Rental Car, as it perfectly suits your needs and budget,” will win the day.
2. Defeat "Digital Invisibility" with Structured Data
To play in this new AI-driven landscape, you must confront the "brutal rule of AI": if your data is not highly structured and actionable, you simply will not exist in the results.
For decades, the industry has perfectly digitized the basic "car category" (rates, availability, restrictions). However, the crucial add-ons—excess waivers, premium insurance, GPS, specific child seats, or prepaid fuel—are often left "out of the system" or poorly structured. For an AI agent, unstructured products are invisible. If a user asks an AI to book a "minivan with full coverage and two toddler seats," and your digital shelf only broadcasts the base vehicle rate, the AI will recommend a competitor who has fully structured their catalog. To win, you must optimize your website and data feeds with schema markups and rich content so that generative AI can easily read, bundle, and recommend your complete offerings.
3. Embrace "Unified Bundling" to Protect Your Margins
The era of static, rigid packages is over. AI engines thrive on dynamic composition, paving the way for "Unified Bundling". This means the ability to dynamically combine a vehicle, insurance, toll passes, and local experiences in real-time.
Brokers typically excel at selling the base rate but struggle to manage complex, customized experiences. By utilizing intelligent booking engines on your own site that can create these real-time, high-margin bundles, you create a holistic offer that brokers simply cannot replicate. As a Revenue Manager, this allows you to maintain rate parity on the base vehicle while winning the margin battle through customized, AI-assembled trip additions.
4. Deploy AI Agents to Convert the Casual Browser
Having an AI chatbot that just answers FAQs is no longer enough. To outpace brokers, you need to deploy sophisticated AI Agents integrated directly with your fleet management and reservation systems.
Modern AI agents can handle complex queries, compare vehicle classes, upsell insurances, and complete the actual booking. They eliminate waiting times and reduce friction, moving the customer down the sales funnel faster than humanly possible. When your website converts intent into action seamlessly, you stop losing potential direct bookers back to the perceived convenience of a broker.
5. Hijack the Broker Guest for Future Loyalty
Brokers give you bookings, but they often keep the customer data, leaving you to treat the renter like a "ghost". To break this cycle, use automated AI outreach to capture first-party data the moment a broker-booked customer walks up to your desk—or even before.
Send pre-arrival SMS or email campaigns welcoming them by name and offering digital check-in. Post-rental, when the customer is still reflecting on a smooth trip, use automated campaigns to offer them an exclusive perk for booking direct on their next rental. Even if you have to match the broker's base rate, layering on instant perks that intermediaries can't offer—like a free additional driver, priority counter access, or flexible cancellation—shifts the dynamic from a transactional broker relationship to a loyal brand connection.
The 2026 Mandate
The core truth of 2026 is that in the timing of AI, structural coherence beats sheer size. Brokers will fight to keep their volume, but operators who digitalize their entire offering and integrate with LLM ecosystems will reclaim the direct relationship. AI captures the intention, but your brand must convert the emotion and experience. It is time to structure your data, deploy intelligent agents, and build a direct channel that wins the long game.
Article sources
Trust you: 7 proven strategies to boost direct bookings
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