The Era of the Travel Tab Explosion
Ask anyone who planned a trip before 2024 to describe the process and most will mention the same thing: tabs. Dozens of them. A flight comparison site here, a hotel review platform there, a travel blog for activity ideas, a government website for visa requirements, a currency converter, a weather forecast, an airport transfer site, a packing list from somewhere else entirely. The Google search engine was the thread connecting all of it, the starting point that led to twenty separate destinations. This was the accepted model for travel research for two decades. In 2026, travellers are starting to leave it behind.
What Google Does Well and Where It Fails
Google is extraordinarily good at retrieving information that already exists somewhere on the web. Type in "best restaurants in Lisbon" and it will surface thousands of results ranked by relevance and authority. That indexing capability remains unmatched. The problem is what it cannot do: understand context, make connections between your choices, or build a coherent plan. Google can find a hotel, but it cannot tell you whether that hotel is in a good location relative to the things you want to do, whether the neighbourhood is safe for a solo female traveller, or how far the nearest useful metro station is. Those contextual connections require a different kind of intelligence.
The Fragmentation Problem
The deeper issue with Google-first travel planning is fragmentation. Every piece of information you find on Google lives on a different platform, written by a different author, at a different point in time, with different motivations. A hotel review on TripAdvisor, a blog post about a neighbourhood from three years ago, a Reddit thread about visa requirements that may be outdated, a travel agent's promotional article — none of these connect to each other. You are the integration layer, spending hours pulling information together into something coherent. The mental load of this process is significant, and the errors that result from fragmented, potentially outdated information are real.
How AI Search Has Changed Traveller Behaviour
The emergence of Perplexity AI, ChatGPT, and Google's own AI Overviews has begun to shift how travellers research destinations. Rather than entering a keyword and scrolling through ten blue links, users can now ask a natural language question and receive a synthesised answer. "What is the best time of year to visit Japan and avoid crowds?" gets a direct, nuanced response rather than a list of links to click through. This is faster and more satisfying for research. According to multiple travel industry surveys conducted in early 2026, over 40 percent of travellers now start trip research with an AI tool rather than a traditional search engine. That number is growing month by month.
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What Perplexity and ChatGPT Are Replacing
AI search tools are most powerfully replacing the early-stage destination research that used to require reading ten blog posts. Questions like "is Morocco safe for solo female travellers right now," "what are the entry requirements for Vietnam in 2026," and "what is the current situation with transport strikes in France" are answered faster and more reliably by AI search than by clicking through a list of links. The tools are particularly strong for factual, research-oriented questions. Where they still fall short is in generating a complete, personalised travel plan that connects research to booking action.
The Rise of Purpose-Built AI Travel Tools
The gap between AI research and AI execution has created space for purpose-built AI travel planning tools that handle the entire journey from idea to ready-to-book plan. These tools are not search engines and they are not general-purpose chatbots. They are specifically designed for the travel planning workflow: understanding your preferences, generating a structured itinerary, providing destination-specific context, and connecting you to booking platforms. This category of tool did not meaningfully exist before 2024. In 2026, it is the fastest-growing segment of the travel technology market.
FigFinder and the End-to-End Planning Shift
FigFinder represents the clearest example of this shift. Rather than asking you to search for information across multiple sites, it guides you through a structured conversation about your trip and produces a complete, personalised travel guide in one place. The guide includes a day-by-day itinerary, hotel and activity picks with direct booking links, destination essentials covering visas, local apps, cash and SIM advice, a day-zero arrival guide, and a personalised packing checklist. None of that requires a Google search. None of it requires opening additional tabs. The entire planning workflow happens in a single session at figfinder.ai.
What This Means for How You Plan Your Next Trip
This does not mean Google is going away. For very specific, targeted searches — a particular hotel address, a museum's current opening hours, real-time flight status — Google remains the fastest and most reliable tool. But for the planning process itself, the combination of AI search tools for early research and purpose-built AI planning tools for itinerary generation is now faster, more coherent, and produces better outcomes than the traditional Google-led tab explosion. The travellers who have made this shift report spending significantly less time on planning and arriving at their destination better prepared. The infrastructure for the smarter way to plan a trip already exists. You just have to use it.
