As more travelers turn to AI tools like ChatGPT, Gemini, or Perplexity to plan their trips, the rules of the game are shifting. Traditional search engines and SEO strategies are no longer enough on their own — they must now coexist with Large Language Models (LLMs) as part of the future of digital visibility.
In this context, from Smartvel we are taking a bold step forward to adapt its destination content to new AI-powered discovery standards, making its data architecture and content structure readable and accessible to machines.
What exactly are we doing?
We’re exploring how to adapt our services and technology to ensure that the destination content we deliver to our clients is optimized for both human users and machine consumption. This includes:
- Restructuring our content to be understandable and usable by LLMs like ChatGPT, Gemini, or Perplexity.
- Exploring emerging standards such as the Model Context Protocol (MCP), which would allow providers like us to become certified context sources for conversational interfaces.
- Optimizing our API and data architecture for RAG (Retrieval-Augmented Generation) architectures, used by private AI bots from airlines, OTAs, and hotel chains.
- Implementing technical improvements—such as semantic markup with Schema.org, publishing structured FAQs and recommendations, and enhancing HTML visibility beyond JavaScript-based widgets—building on the same SEO practices we already apply, but with greater focus and awareness of their impact on visibility not only for traditional search engines but also for LLMs.
Why does this matter?
This initiative positions us — and our clients — to stay relevant in a travel planning landscape that’s rapidly shifting toward conversational interfaces. It also opens new doors for Smartvel content to appear in AI-generated responses and power intelligent travel assistants across the industry.
What’s our goal?
Our vision is clear: to become the trusted tourism content provider not just for websites and apps, but also for the next generation of AI-driven and conversational interfaces. While we currently deliver content via widgets and APIs for native integrations, we are now entering a new phase: making our API available through MCP so that LLMs can directly access and understand our content.
