Your destination needs an AI team.

A digital staff member with one job. It works in the background, follows rules you set, and reports back. You review the output and approve what goes live. The TourismTribe AI team has seven agents, each handling a different part of destination management: answering visitor questions, creating content, auditing operator data, analysing gaps, learning from visitor patterns, generating seasonal content, and monitoring AI accuracy.

A chatbot answers questions. That’s it. Our system also monitors what external AI platforms say about your region, scrapes operator data weekly, creates social and blog content, detects content gaps, and learns from visitor patterns. The seven agents work together and feed each other information.

Alfred, the visitor concierge, answers questions in 12+ languages. Visitors can ask in their own language and get accurate, locally verified answers back.

Hours, not months. We scrape your region’s Google Business data, load your existing knowledge (safety rules, seasonal info, local expertise), and configure the agents. No 6-month implementation. No migration project.

Your region’s operator list, any existing knowledge resources (safety info, seasonal rules, FAQs), and your brand voice preferences. The system scrapes Google Business profiles automatically. The more local knowledge you add, the better the agents perform.

Nothing goes live without your approval. Content drafts sit in a review queue. Visitor answers are grounded in your verified knowledge bank, not general internet data. You set the safety rules and the agents follow them.

No. Your staff handle strategy, community relationships, partnerships, and crisis communications. The AI team handles the repetitive work: answering the same visitor questions, checking operator listings, writing first drafts, monitoring AI accuracy. Your people get time back for the work that matters.

Iris, the sentinel agent, runs monthly checks against ChatGPT, Gemini, and Perplexity. She asks them about your region and compares the answers to your verified knowledge. When they get something wrong, like recommending a closed business or missing a safety warning, she flags it and Leo creates corrective content.

Nothing, ideally. Argus scrapes their Google Business profiles every week and flags stale data. Operators get an automated nudge when something needs updating. They don’t need to learn new software or log into anything.

We’re launching first with Australian regional DMOs. The system handles Australian-specific knowledge like stinger season, 4WD permit requirements, school holiday schedules by state, and tide safety. The platform can be configured for any region.

Flo sends a weekly briefing: visitor questions answered, content created, operator health scores, content gaps detected, and AI accuracy trends. You see exactly what the agents did and what changed.

Your region’s knowledge stays yours. The system uses your verified data to answer questions, not general internet scraping. Operator data comes from their public Google Business profiles. Content goes through your approval queue before publishing.

A daily auto-generated page showing weather, tides, swell, UV, sunrise and sunset, and local events for your region. It generates at midnight every night with zero manual work. You can share it with operators, embed it on their websites, or download a PDF. Coastal regions also get tide times and swell data from marine forecasting services.

A single verified data layer that all seven agents and your staff draw from. Ten data sources feed into it: Google Business profiles, your website content, local events, weather and tides, your staff’s knowledge bank, operator Instagram posts, operator websites, guest reviews, search demand data, and uploaded strategy documents. Nothing the agents produce is hallucinated. Everything traces back to a source your team controls.

Coco is the seasonal content agent. She tracks what’s coming up in your region: school holidays, stinger season, whale watching season, local festivals, public holidays. She triggers content and visitor answers that match what’s actually happening right now, not generic advice from six months ago.

Yes. The system status view shows three areas: Data Sources, Configuration, and Monitoring. You control which sources are active, set your voice profile, chat rules, content goals, and prompt templates. Data sources refresh automatically but you decide what feeds the system.

Leo, the content agent, draws from your Regional Knowledge Layer: real guest reviews, operator data, local events, and your brand voice settings. He writes social posts and blog drafts grounded in verified local knowledge, not generic AI output. Everything sits in your review queue. Nothing publishes without your approval.

AEO is making sure AI platforms like ChatGPT, Gemini, and Perplexity give accurate answers about your region. Unlike traditional SEO which targets Google search results, AEO targets the AI-generated answers that increasingly replace clicks. Iris, our sentinel agent, monitors what these platforms say about your destination and flags when they get it wrong.

Weather data comes from the Bureau of Meteorology via API. Tide and swell data comes from marine forecasting services. Local events are collected from tourism and council websites in your region. All data refreshes automatically every day.