Untangling Tourism Tech

While we were on holiday, ChatGPT launched Dots, its personal agent, and others such as Muse, Gemini Spark and Grok Bot followed. Fabienne Wintle and Liz Ward explain what a personal agent is, how it differs from a chatbot or a work agent, and what happened when Liz set up her own, Meg, in ten days. She built her first website and a weekly social media workflow without asking Fabienne for help. Episode page, article and full transcript: tourismtribe.com/episode-23-personal-ai-agents-are-here Topics covered: From chatbots to work agents to personal agents: what each one does, with the product names you may see The Devil Wears Prada assistant: why a personal agent acts before you ask Computer use: agents that log in and do the clicking, so you do not need to be technical Liz's challenge: connecting Meg to her Google accounts, and the help that arrived before the ground rules were set A workshop website from someone who had never built one, and a weekly social media workflow with drafts ready to review The risk of standing still: staff scared to get it wrong, government teams limited to Copilot, and why your AI learning is now your own job Three tips to start: use the agent you already know and pay for it, set one goal with full context, and do not micromanage Tourism Tribe helps tourism operators and destination marketing organisations stay ahead of AI and technology change. Find every episode at tourismtribe.com/podcast. Subscribe to Untangling Tourism Tech for a new episode every month.

ChatGPT 6 Astra landed on 3 September and it uses your computer the way a staff member would: the mouse moves, the forms fill, the work gets done. In Episode 20 Fabienne Wintle and Liz Ward said that full autonomous agents were perhaps two to five years away. Ten weeks later, here one of the first, inside your ChatGPT. This episode is the plain-English version: what Astra is, what it costs, why a $300-a-month licence is cheap if you understand what it replaces, and what has to be in place before you switch it on. Topics covered: Computer use: AI that operates your desktop, learns a task from a screen recording, and no longer needs you to be tech savvy Where the market sits: ChatGPT at 1.1 billion monthly users and losing share to Gemini, while DMO traffic keeps sliding into AI answers Tiers, modes and the senior-lawyer rule: why you do not use Astra for everything, and why the desktop app matters A South Australian restaurant, low social engagement, and the return on a $300 licence The potholes: no password manager, shared calendars and messy setups are what stop Astra, not Astra "We're on Microsoft 365 so we can't use ChatGPT": what Copilot does well, where it stops, and the Word-without-Canva problem for council tourism teams Safeguards first: a published AI policy, prompt injection, and the passports sitting in your inbox Compass move O: get regional knowledge out of heads and digitised, or the agent will make it up Next up: agent-to-agent commerce and why your website has to become a database Tourism Tribe helps tourism operators and destination marketing organisations stay ahead of AI and technology change. Find the Compass AI Playbook for DMOs and more at tourismtribe.com. Subscribe to Untangling Tourism Tech for a new episode every few weeks.

Most DMOs call Tourism Tribe wanting to fix their website. Fabienne Wintle and Liz Ward explain why that's the wrong question. When you ask AI such as Google or Gemini where to eat or stay, the answer comes straight from the operator's Google Business Profile, not the DMO's website or directory. In this episode, they get real about what's actually working with DMOs in the early stages of AI transformation. Topics covered: Why the regional tourism directory has lost its role as the "golden child" of DMO marketing The shift from humans searching to AI agents talking to other agents on your behalf The Compass framework and making destination knowledge queryable, not just crawlable The AI Digital Health Check: a practical tool giving operators and DMOs a clear read on discoverability and bookability Why closing the loop matters more than getting AI to draft a review response The real signals behind Google Business Profile rankings: get-directions clicks, dwell time, busy-times data, and login frequency What DMO staff building genuine AI skill and confidence actually looks like Fabienne and Liz are also running two DMO-only webinars on the Compass framework and how to avoid the costly mistakes of an AI transformation journey: Tuesday 18 August at 1pm and Wednesday 19 August at 4pm. Tuesday, 18 August, 1-2 pm → Register now Wednesday, 19 August, 4-5 pm → Register now Tourism Tribe helps tourism operators and destination marketing organisations stay ahead of AI and technology change. Find the DMO AI Playbook and more at tourismtribe.com. Subscribe to Untangling Tourism Tech for a new episode every few weeks.

Destination marketing organisations are losing visibility they can't see in the numbers. Fabienne Wintle and Liz Ward sit down to unpack why DMO website traffic is dropping by an average of 30%, even as AI tools like ChatGPT and Gemini keep sending travellers information pulled straight from DMO content. They walk through what's actually happening in the server logs, the framework in Tourism Tribe's DMO AI Playbook, and why the travel purchase cycle is compressing into a single AI-assisted session. Topics covered: Zero-click search, the "invisible surge," and why it doesn't show up in Google Analytics Reading server logs to separate AI indexing bots from live-retrieval bots Using Cloudflare to track bot activity without blocking the bots that matter The Compass Model in Tourism Tribe's DMO AI Playbook Crawlable versus queryable content, and why digitising internal knowledge is now the priority How ChatGPT's retreat from travel bookings and Google's agentic shopping push are reshaping the travel purchase cycle What any DMO, regardless of size, can do now to protect its value Tourism Tribe helps tourism operators and destination marketing organisations stay ahead of AI and technology change. Find the DMO AI Playbook and more at tourismtribe.com. Subscribe to Untangling Tourism Tech for a new episode every few weeks.

AI can inspire a trip in seconds. Getting tourists to actually book those experiences has been a different story. In this episode, Liz Ward talks with Daniel Blickling and Dhruv Sharma from Traveloris, a B2B AI trip planner that does something most tourism tech has only promised: it generates personalised, locally-informed itineraries and handles live booking in the same session. Topics covered: - How the travel purchase cycle has shifted more in the past two years than in the previous 25 - What Traveloris is, how the widget works, and why the B2B model makes it low-risk for operators - The three-year journey to crack live booking across 25+ booking channels - A live demo of the Cairns Discovery Tours trip planner - Why ChatGPT pulling back from travel fulfilment opens the door for specialist tools - Practical advice for DMOs on turning high-intent LLM referral traffic into bookings - What's coming next: accommodation booking and a chat analytics agent - Tourism Tribe's AI Playbook and Pocket Rocket app for tourism operators Daniel Blickling is the founder of Traveloris (previously Traveler AI), with a background in aerospace avionics engineering and head of innovation technology at British Airways. Dhruv Sharma is the product manager, previously a strategy consultant at Boston Consulting Group and product lead at Telstra. Tourism Tribe helps tourism operators stay ahead of technology and AI. Find out more at tourismtribe.com. Learn more about Traveloris at traveloris.com.

Most tourism operators have tried AI. Fewer know what to do next. In this episode, Fab and Liz unpack the AI "driver's licence" journey, from basic ChatGPT prompts to building autonomous agents that do your work while you sleep. They cover: Where most operators and DMO staff are sitting right now with AI (hint: 80% are on L-plates) What moving to your P-plates actually looks like: custom GPTs, Gemini image editing, AI video tools Fab's "Robin" agent that writes social media reel scripts from a single idea  How Liz swapped her old workflow for NotebookLM and Gamma.app to produce polished presentations fast What working on your full open AI licence looks like: building agents that run on a separate machine and report back via Telegram A real-life tour operator case study: how to automate a 30-minute manual booking process using AI and existing systems Whether you're just getting started or wondering what's possible beyond ChatGPT, this episode will show you where the road leads. Links: Tourism Tribe: https://www.tourismtribe.com Podcast page: https://www.tourismtribe.com/podcast Pocket Rocket: https://my.tourismtribe.com NotebookLM: https://notebooklm.google.com Gamma.app: https://gamma.app

Welcome to the 2026 season premiere of Untangling Tourism Tech! In this episode, Liz and Fab dive into the massive technological shift currently reshaping the tourism landscape: the move from static AI models to active, goal-oriented AI Agents. If 2023 was the year of the "Chatbot," 2026 is officially the year of the Digital Doer. Inside this episode: Brain vs. Body: Learn why Large Language Models (LLMs) are like a static "brain" that just waits for a question, while AI Agents act as the "body" that can actually perform tasks, follow rules, and execute a playbook. The Agnes Water Case Study: We revisit the famous Paperbark Walk to explain how old AI models fail by giving outdated advice, and how new AI Agents can fix misinformation loops by checking real-time data. Agent Legibility: Discover why the new priority for Destination Marketing Organisations (DMOs) isn't just "pretty websites," but creating "legible" data that AI Agents can find and use. Digitising Local Knowledge: How regional tourism can maintain its competitive edge by turning the "lived experience" and "soul" of local staff into machine-readable formats. The Google Evolution: A look at how Google Workspace is moving beyond simple search to become an integrated business assistant that understands your emails, documents, and back-office operations. Key Takeaway: Don't wait for the technology to be "perfect." The tools are already "plug and play". This episode is your guide to taking small, progressive steps to ensure your destination remains relevant and sustainable in this new era of AI partnership.

This episode gets real about why short, simple video is the fastest way for tourism operators to grow their reach and why perfectionism is costing them visibility. Liz and Fab break down practical ways to repurpose content, use smart AI tools without losing your voice and stay ethical and transparent in an AI driven social landscape. It’s a no nonsense chat that shows operators how to show up confidently on camera, keep their humanity, and let tech do the heavy lifting without taking over.

In this episode of Untangling Tourism Tech, Fabienne and Liz unpack how AI is reshaping what works (and what doesn’t) on social media for tourism businesses. From Reddit threads making a comeback to Google surfacing Instagram posts, they reveal why authenticity and human connection are now the ultimate algorithms. Learn how to keep your content real, consistent, and confidence-building — even when AI seems to run the show. Tune in for practical, no-fluff strategies to make your social media shine in the age of AI

It looks like you. It sounds like you. But it’s not you. In this eye-opening episode, Liz and Fab dive into how AI is supercharging scams, making it easier than ever for cybercriminals to spoof your email, clone your voice, and trick your team or customers. From real tourism industry examples to practical cybersecurity tips, we explore what every operator needs to know about email spoofing, voice cloning, and how to secure your digital doorway.