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AI: More Than the Next Billboard

AI: More Than the Next Billboard

  • New Research on How AI Reshapes Hotel Discovery
The Next Billboard Effect
2 min read
Published: May 29, 2026
Published: May 29, 2026
  • New Research on How AI Reshapes Hotel Discovery

New Research on How AI Reshapes Hotel Discovery

DirectBooker CEO and co-founder Sanjay Vakil has co-authored a new whitepaper with Cornell University's Chris K. Anderson — the researcher behind the original "billboard effect" studies. The paper examines how AI-mediated discovery is changing hotel search, choice, and booking.

The core argument: AI is not simply the next billboard. It does more than create visibility. AI systems interpret traveler intent, narrow the choice set, and shape which hotels are represented as credible options in the first place.

A few of the shifts Anderson and Vakil explore:

  • From date-and-location inputs to intent-driven discovery. Travelers can describe a trip in natural language, and AI translates latent needs into recommendations. Two travelers asking for "a nice hotel in Chicago" may have very different underlying requirements, and AI is far better than traditional search at surfacing them.

  • A smaller, more controlled choice set. AI systems typically return only 10–20 options, and travelers rarely ask for more. The strategic question shifts from "Where do I rank?" to "Am I included in the recommended set at all?"

  • Representation matters as much as visibility. Hotels need to be represented accurately and compellingly for a specific traveler — including the "vibe" of a property, occasion fit, and supplier-only information like member rates, room-level details, and real-time offers that don't surface through legacy OTA feeds.

  • A near-term reshaping, not a replacement. Semantic search may first be absorbed by incumbent OTAs, brands, and search platforms before more agentic systems take on a larger transactional role.

The paper points to new infrastructure connecting hotels directly to AI systems as one emerging response — citing DirectBooker as an example of a supplier-aligned aggregation layer using Model Context Protocol (MCP) to deliver structured, real-time property data and direct-booking benefits that web crawling alone cannot scale to support.

For hotels, brands, and intermediaries, the competitive issue is no longer just being visible. It is being understood, represented, and chosen.

Read the full whitepaper by Chris K. Anderson and Sanjay Vakil →

Our editorial process: DirectBooker curates insights from global hospitality experts and our network of industry insiders. Articles undergo rigorous fact-checking and quality review before publication, ensuring authentic, actionable advice for savvy travelers.

 

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