AI is fundamentally reshaping destination marketing at a pace that makes traditional planning cycles obsolete. Decisions made now about organisational structure, data infrastructure, partnership models and governance frameworks determine competitive positioning for years ahead. We explore emerging technical approaches, such as RAG systems, Model Context Protocol, AI agents and vibe coding, that haven't been widely examined in destination contexts to develop practical frameworks together.
Four interconnected challenges demand examination from multiple perspectives: building organisational capability when AI changes what work looks like, defining boundaries around AI autonomy and risk, navigating shifting partnership dynamics and protecting brand reputation when AI content proliferates. This session will generate richer discussion by clearly framing the challenge faced and the broader opportunities to improve efficiency.
Having mapped the broad strategic challenges in the morning, we will explore specific areas that haven't been widely examined in destination marketing contexts. Discussions draw on use cases contributed by Workstream members, focused on real examples from DMOs that ground conversations in practical experience.
How do RAG systems, Model Context Protocol and structured data position destinations for the LLM era?
Most DMOs have accumulated knowledge resources across multiple systems. This fragmentation creates barriers when AI systems need structured, accessible knowledge to work effectively. RAG systems enable AI to query internal knowledge bases and retrieve accurate information. Model Context Protocol provides standardised ways for AI to access different data systems. This session explores what "AI-ready architecture" means for destinations, examining what infrastructure changes unlock genuine capability.
We'll explore:
How are vibe coding and GEO-optimised formats transforming production workflows?
Content operations are changing rapidly as new tools emerge and AI capabilities shape what formats and styles perform most effectively. This session explores which automation approaches work brilliantly and where they disappoint. We'll examine workflow automation across translation, video production, research and content planning, plus explore vibe coding — using AI to make an app or website without traditional development skills. We'll also look at emerging content trends: new video styles, GEO-optimised content for AI platforms, formats designed for AI synthesis, and what these shifts mean for your production approach and skill requirements.
We'll explore:
When AI operates autonomously, how do red teaming and governance frameworks actually work in practice?
AI agents represent a shift from tools that destinations manually control to systems that act independently within set boundaries. AI agents might monitor social media and respond to comments, analyse data or create personalised content in real time. This session examines where AI agents create genuine value for destinations versus where autonomy introduces unacceptable risk. We'll explore governance approaches, including red teaming — deliberately testing systems to find failures — and discuss whether these practices are scalable for smaller organisations with fewer resources.
We'll explore:
How do you respond when AI-generated misinformation spreads faster than traditional communications allow?
Viral AI-generated content creates reputation challenges that move faster than traditional communications. Fake disaster images and manipulated videos all directly influence destination perception, undermining the efforts of destination marketers. This session examines practical response frameworks and emerging opportunities for developing enhanced tech company relations around brand safety. We'll develop approaches for responding effectively when speed matters, determining boundaries for your own creative AI content and conversations with partners about responsibility and risk.
We'll explore:
How do RAG systems, Model Context Protocol and structured data position destinations for the LLM era?
Most DMOs have accumulated knowledge resources across multiple systems. This fragmentation creates barriers when AI systems need structured, accessible knowledge to work effectively. RAG systems enable AI to query internal knowledge bases and retrieve accurate information. Model Context Protocol provides standardised ways for AI to access different data systems. This session explores what "AI-ready architecture" means for destinations, examining what infrastructure changes unlock genuine capability.
We'll explore:
When AI operates autonomously, how do red teaming and governance frameworks actually work in practice?
AI agents represent a shift from tools that destinations manually control to systems that act independently within set boundaries. AI agents might monitor social media and respond to comments, analyse data or create personalised content in real time. This session examines where AI agents create genuine value for destinations versus where autonomy introduces unacceptable risk. We'll explore governance approaches, including red teaming — deliberately testing systems to find failures — and discuss whether these practices are scalable for smaller organisations with fewer resources.
We'll explore:
How are vibe coding and GEO-optimised formats transforming production workflows?
Content operations are changing rapidly as new tools emerge and AI capabilities shape what formats and styles perform most effectively. This session explores which automation approaches work brilliantly and where they disappoint. We'll examine workflow automation across translation, video production, research and content planning, plus explore vibe coding — using AI to make an app or website without traditional development skills. We'll also look at emerging content trends: new video styles, GEO-optimised content for AI platforms, formats designed for AI synthesis, and what these shifts mean for your production approach and skill requirements.
We'll explore:
How do you respond when AI-generated misinformation spreads faster than traditional communications allow?
Viral AI-generated content creates reputation challenges that move faster than traditional communications. Fake disaster images and manipulated videos all directly influence destination perception, undermining the efforts of destination marketers. This session examines practical response frameworks and emerging opportunities for developing enhanced tech company relations around brand safety. We'll develop approaches for responding effectively when speed matters, determining boundaries for your own creative AI content and conversations with partners about responsibility and risk.
We'll explore:
Each parallel track reports back on key insights, practical approaches and unresolved questions from their afternoon sessions. Brief closing discussion identifies priority areas for future exploration in 2026 Workstream sessions.
Each workstream operates as a quarterly community with four sessions per year - two intensive in-person collaborative sessions and two online collaborations. This ensures sustained engagement and allows insights to translate into competitive advantage over time.
These workstreams create something entirely different from typical industry events. These intensive peer-to-peer sessions focus on practical problem-solving rather than traditional presentations. You'll engage in roundtable discussions, work directly with cutting-edge tools and share real performance data with fellow practitioners facing similar challenges. Through structured working groups and collaborative workshops, you'll co-develop solutions and build lasting partnerships with accountability systems that drive measurable results long after the session ends.
The Leadership Strategy Workstream is designed for CMOs, Marketing Directors and Senior Decision Makers. The Content & Media Innovation Workstream is tailored for Content Teams, Social Media Managers and Creative Directors. Please note: The workstreams are exclusively for destination members and invited DMOs. Register here.
In-person sessions run for a full day (approximately 10:30-16:30), featuring multiple focused workshops with breaks and networking opportunities. Individual sessions typically run 75-90 minutes each, with some extended hands-on sessions lasting up to 105 minutes. Online sessions are shorter, concentrated collaborations between the in-person meetings.