Destination Marketing Is Now AI Marketing: Brand USA and Spain’s Playbook for 2026
Why It Matters
Because AI now decides which destinations appear in travelers’ planning, DMOs that master LLM optimization will capture more visitors while mitigating over‑tourism, directly impacting revenue and sustainability.
Key Takeaways
- •AI models now shape travelers' destination discovery, not just ads.
- •DMOs must create LLM‑friendly content to appear in AI recommendations.
- •Secondary markets gain visibility through AI‑driven “hidden gem” searches.
- •Over‑tourism perception requires AI‑guided messaging to redistribute visitors.
- •Live events and real‑time data become core tools for AI tourism marketing.
Summary
Destination marketing is evolving from ad spend and influencer campaigns to shaping the outputs of large language models (LLMs) like ChatGPT, Gemini, and Claude. Travelers increasingly turn to AI for itinerary ideas, making the visibility of a destination in these models a critical asset.
The transatlantic summit highlighted that DMOs must treat AI training as a core function. By publishing structured, SEO‑optimized, and richly tagged content, destinations can influence LLM recommendations, opening exposure for both flagship cities and lesser‑known regions. Miguel Sans argued that even well‑known markets such as Spain need AI‑centric spend to stay top‑of‑mind.
Examples cited included Barcelona’s over‑tourism backlash, which Miguel framed as a perception issue, and the rise of “hidden‑gem” searches sparked by TikTok videos. Live‑tourism moments like Formula 1 races were presented as real‑time data sources that AI can ingest to guide travelers toward alternative venues.
For tourism boards, the shift means reallocating budgets toward data‑driven content creation, AI model fine‑tuning, and rapid response messaging. Successful AI integration can smooth visitor flows, protect fragile sites, and unlock new revenue streams from secondary markets, giving early adopters a competitive edge.
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