Welcome to the destinationready.ai Pilot
You have full access to all community resources during the pilot phase at no cost. Your access continues free for one year if the platform introduces paid membership. This community is also part of a doctoral research project on AI adoption in destination organisations. Any data used in research will be fully anonymised.
Member toolkit
Destination AI Toolkit
Filter by your role and need to find the prompts, tools, templates, and use cases that matter to your work.
Destination Press Release — New Tourism Product or Initiative
Produces a structured press release for a new tourism product, route, or destination initiative.
You are a senior communications manager at a destination marketing and management organisation (DMO). Write a professional press release announcing [describe the new product, initiative, or development in one or two sentences]. The destination is [destination name and brief description — e.g. a coastal city in northern Finland with a growing international tourism market]. The target media audience is [specify — e.g. international travel trade press / national lifestyle media / regional business press]. The press release should: - Follow standard press release structure: headline, dateline, opening paragraph with the five Ws, body paragraphs with supporting detail, a quote from a named spokesperson, boilerplate paragraph about the organisation, and media contact details. - Be written in clear, professional English suitable for immediate distribution to journalists. - Use an active voice and avoid tourism marketing clichés. - Be approximately 400 words. Spokesperson name and title: [insert name and title] Key facts to include: [insert two to four specific facts, statistics, or dates] Embargo date if applicable: [insert or write 'For immediate release']
Usage notes. Replace all bracketed fields before use. Review the quote paragraph carefully — AI-generated quotes must be approved by the named spokesperson before publication. Do not publish AI-generated statistics without verifying them independently.
Campaign Concept Brief — Seasonal Leisure Marketing
Generates a structured campaign concept brief for a seasonal or thematic leisure tourism campaign.
You are a destination marketing strategist with ten years of experience working for regional and city DMOs in Europe. Develop a campaign concept brief for a [season — e.g. winter / autumn shoulder season] tourism campaign for [destination name]. The campaign objective is [specify — e.g. to increase international overnight stays by 15% in the November to February period / to attract first-time visitors from [source market]]. Target audience: [describe primary audience — e.g. culturally curious couples aged 35 to 55 from Germany and the Netherlands, with mid-to-high disposable income]. Key assets and experiences available in the destination: [list three to five — e.g. northern lights viewing, Nordic spa culture, food scene]. Budget range: [insert or write 'not specified']. The brief should include: 1. Campaign working title and tagline options (three) 2. Core message and emotional proposition 3. Recommended channel mix with rationale (digital, social, PR, paid media) 4. Content pillars (three to four) 5. Key performance indicators 6. Suggested campaign timeline 7. Risks and mitigation notes Write the brief as a working document a marketing team could use directly.
Usage notes. The more specific the target audience and destination assets you provide, the more useful the output. Treat the output as a first draft — the channel mix and budget rationale should be reviewed by your team against actual market knowledge.
Social Media Content Calendar — Monthly Plan
Produces a four-week social media content calendar across multiple platforms with post copy for each entry.
You are a social media manager for a destination marketing organisation (DMO). Create a four-week social media content calendar for [destination name or organisation name] for the month of [month and year]. Organisation type: [DMO / Convention Bureau / Business Events Organisation] Primary platforms: [select — Instagram / LinkedIn / Facebook / X (Twitter) / TikTok — list the ones you use] Theme or focus for this month: [e.g. summer outdoor experiences / upcoming international congress / shoulder season hidden gems / sustainability story] Post frequency: [e.g. once daily on Instagram, three times per week on LinkedIn] Brand voice: [describe in two to three adjectives — e.g. warm and inspiring / professional and authoritative / playful and local] For each post include: - Platform - Date - Post copy (ready to publish, including emojis where appropriate for the platform) - Suggested visual description (what the image or video should show) - Relevant hashtags (five to eight) - Content type tag (e.g. destination inspiration / partner feature / event promotion / behind the scenes / sustainability story) Format the calendar as a table.
Usage notes. Review all post copy for factual accuracy and brand alignment before scheduling. Hashtags should be verified for current relevance on each platform. Adjust suggested visual descriptions to match your actual asset library.
Media Pitch Email — Targeting International Travel Journalists
Produces a concise, personalised pitch email to invite an international travel journalist to visit the destination.
You are a PR and communications manager at a destination marketing and management organisation. Write a media pitch email to [journalist name] at [publication name], a [describe publication — e.g. leading travel supplement in the UK with a readership of affluent travellers aged 40 to 65]. The destination is [destination name]. The story angle you are pitching: [describe in one to two sentences — e.g. the destination's growing reputation for Nordic wellbeing tourism and its new range of forest and lakeside spa experiences opening in autumn 2026]. Key facts to include: [list two to three — e.g. new direct flight from London launching October 2026 / 40% increase in international visitors in 2025 / European Capital of Culture 2026] What you are offering: [e.g. a fully hosted three-night press trip in October 2026, covering accommodation, activities, and meals / a desk interview with the CEO / exclusive access to a pre-launch event] Your name and title: [insert] The email should be: - Under 200 words - Written in a tone that is professional but not corporate — direct, specific, and genuinely interesting to a journalist - Structured as: opening hook, story angle in two sentences, the offer, a clear call to action - Not a press release — this is a personal pitch
Usage notes. Always personalise the opening line to reference something specific the journalist has recently published. AI cannot do this for you — add the personalisation after generation.
Destination Story — Emotionally Driven Long-Form Content
Produces a long-form destination story suitable for a travel magazine, website feature, or content marketing campaign.
You are an experienced travel writer commissioned by [destination name] to write a feature article for [specify outlet or purpose — e.g. the destination's website blog / a travel magazine / an international airline in-flight magazine]. Write an 800-word feature article on the following theme: [describe theme — e.g. what it feels like to experience the destination in deep winter / the human stories behind the local food scene / how the destination is redefining sustainable travel]. Key experiences, places, or people to feature: [list three to five specific, real elements — do not invent details] Tone: [e.g. warm and personal, written in first person as if the writer has visited / authoritative third person / lyrical and sensory] Target reader: [describe — e.g. culturally curious independent traveller aged 35 to 55 / business traveller considering a leisure extension] Do not use the following clichés: 'hidden gem', 'off the beaten track', 'bustling', 'quaint', 'world-class', or 'a must-visit'. End with a practical 'Getting there and staying' section of two to three sentences.
Usage notes. All specific facts, names, opening hours, and prices mentioned in the output must be verified before publication. The AI will not know current operational details of specific venues.
Annual Marketing Plan — Structured First Draft
Generates a structured annual marketing plan framework with strategic rationale, objectives, and channel priorities.
You are a senior destination marketing strategist. Create a structured annual marketing plan for [organisation name], a [describe organisation type and size — e.g. regional DMO covering a coastal destination in Northern Europe with an annual budget of approximately €[X]M and a team of [X] staff]. Planning year: [year] Strategic context: [describe in three to five sentences — e.g. the organisation is entering its first post-pandemic recovery year with strong domestic demand but declining international arrivals from key markets / the destination hosted a major cultural event in the previous year and needs to sustain momentum / the organisation has a new CEO and is reviewing its market positioning] Primary markets: [list up to five with priority order — e.g. 1. Germany, 2. UK, 3. Netherlands, 4. domestic] Key strategic objectives for the year: [list three to five] Constraints: [e.g. reduced budget versus previous year / limited staffing / dependency on specific airline routes] The plan should include: 1. Executive summary (one page equivalent) 2. Situational analysis (SWOT format) 3. Strategic priorities (three to four, with rationale) 4. Target market profiles (one paragraph per market) 5. Channel strategy (digital, social, PR, trade, paid media) 6. Content strategy overview 7. Budget allocation principles (percentages, not specific figures) 8. KPI framework (at least six measurable KPIs) 9. Risk register (three to five risks with mitigation notes) 10. Quarterly activity overview Format as a structured document with numbered sections and sub-headings. Use tables where they aid clarity.
Usage notes. This prompt produces a strong structural framework. Market-specific insights, local knowledge, and real budget figures must be added by your team. Use the output as a working document, not a final plan.
Competitor Destination Analysis — Market Positioning Report
Produces a structured competitive analysis comparing your destination's positioning against named competitors.
You are a destination marketing analyst. Produce a competitive analysis comparing [your destination name] against the following competitor destinations: [list two to four]. For each destination including your own, analyse: 1. Primary target markets and audience positioning 2. Core brand proposition and key messages 3. Perceived strengths as a destination 4. Perceived weaknesses or gaps 5. Digital presence and content strategy observations 6. Any recent significant developments or campaigns Based on this analysis, identify: - The positioning space [your destination] currently occupies - Potential differentiation opportunities not claimed by competitors - Risks of overlap or substitution with named competitors Format as a structured report with a summary comparison table and a recommendations section of four to six actionable points. Note: Base your analysis on publicly available information about these destinations. Flag clearly where your analysis is based on general knowledge rather than specific data.
Usage notes. The AI will draw on general knowledge of named destinations. Verify all specific claims about competitors against their own published materials before using in strategic documents.
AI Use Policy — Board Briefing Paper
Produces a concise board briefing paper proposing the adoption of an AI use policy.
You are the CEO of a destination marketing and management organisation (DMO). Write a briefing paper for your board of directors proposing the adoption of a formal AI use policy. Organisation name: [insert or use 'the organisation'] Board meeting date: [insert] Paper prepared by: [name and title] The briefing paper should cover: 1. Purpose of this paper (one paragraph) 2. Context: why an AI policy is needed now (reference the EU AI Act 2024/1689/EU, GDPR obligations, and the increasing use of AI tools across the organisation) 3. Current AI use within the organisation: [briefly describe — e.g. staff are using AI tools for content drafting, data analysis, and translation without a formal framework] 4. Proposed policy scope and key principles (five to six principles in bullet form) 5. Governance recommendation: naming a responsible person or role for AI oversight 6. Proposed next steps and timeline 7. Board resolution requested: [e.g. approval to develop and adopt a formal AI use policy by Q3 2026] Format as a formal board paper with numbered sections, a clear header block, and a resolution box at the end. Length: approximately 600 words. Tone: professional, direct, non-technical.
Usage notes. Add any specific AI tools currently in use at your organisation to Section 3. The resolution wording should be reviewed by your legal counsel or company secretary before the board meeting.
GDPR Assessment — AI Tool Procurement Checklist
Generates a structured GDPR due diligence checklist for evaluating an AI tool before procurement.
You are a data protection officer advising a destination marketing and management organisation on GDPR compliance. Produce a structured due diligence checklist for assessing whether a new AI tool can be procured in compliance with the EU General Data Protection Regulation (GDPR, 2016/679/EU). The tool being assessed is: [describe the tool and its intended use — e.g. an AI content generation platform that will be used to draft marketing copy / a visitor data analytics platform that will process anonymised survey responses] The checklist should cover the following areas, with specific questions under each: 1. Data classification (what personal data will the tool access or process?) 2. Legal basis for processing (Article 6 lawful basis) 3. Data Processing Agreement (is a DPA available and has it been reviewed?) 4. Data storage and location (is data stored in the EEA?) 5. Data retention and deletion 6. Model training (is our data used to train the vendor's model?) 7. Vendor security standards 8. Data subject rights (can we fulfil DSARs?) 9. Data Protection Impact Assessment requirement (is a DPIA needed?) 10. Breach notification (what is the vendor's process?) For each area provide: the questions to ask the vendor, the acceptable answer standard, and a risk flag if the standard is not met. Format as a table with columns: Area / Questions to ask / Acceptable standard / Risk if not met.
Usage notes. This checklist is a starting point, not a legal opinion. Have your legal counsel or DPO review the completed checklist before signing any vendor contract.
Business Case for AI Tool Investment — Budget Submission
Produces a structured internal business case for investing in a specific AI tool, suitable for budget approval.
You are a department head at a destination marketing and management organisation (DMO) preparing a budget submission for senior leadership. Write a business case for investing in [name or describe the AI tool and its function — e.g. an AI-powered social media scheduling and content analysis platform / an AI translation service for multilingual content]. Tool name: [insert if known] Estimated annual cost: [insert] Department requesting: [insert] Prepared by: [name and title] Date: [insert] The business case should include: 1. Executive summary (three to four sentences) 2. Problem statement (what is the current inefficiency or gap this tool addresses?) 3. Proposed solution (what the tool does and how it will be used) 4. Expected benefits (quantified where possible — e.g. estimated time saving per week, reduction in agency spend, improved output volume) 5. Cost breakdown (licence fee, onboarding, training, ongoing maintenance) 6. Return on investment estimate (simple calculation based on time or cost savings) 7. Risks and mitigation 8. GDPR and data compliance note (one paragraph confirming the tool has been assessed or will be assessed against GDPR requirements) 9. Recommendation and approval requested Length: approximately 500 words. Format with numbered sections.
Usage notes. The ROI estimate will be illustrative unless you provide specific figures. Add real data from vendor pilots or comparable organisations where available.
Quarterly Report to Funders or Municipal Partners
Generates a structured quarterly report suitable for submission to public funders, municipal partners, or a board.
You are the CEO of a destination marketing and management organisation preparing a quarterly activity and performance report for [specify recipient — e.g. the city council / regional development agency / board of directors]. Reporting period: [e.g. Q1 2026, January to March] Organisation name: [insert] Prepared by: [name and title] Key activities completed this quarter: [list five to eight bullet points] KPI results this quarter: [list KPIs and actual figures — e.g. international overnight stays: 36,000 (target: 32,000) / media value generated: €2.1M / partner satisfaction score: 4.2/5] Challenges encountered: [list one to three] Planned activities next quarter: [list three to five] Any significant developments or decisions required from funders: [insert or write 'none'] Write a structured quarterly report using the information above. Format with: a brief executive summary, an activities section, a KPI performance table, a challenges and response section, and a forward look section. Tone: professional, factual, concise. Length: 400 to 500 words.
Usage notes. Insert real KPI figures — do not use AI-generated statistics in funder reports. Review the challenges section to ensure the framing reflects your preferred narrative before submission.
Partner Communication — Annual Network Update Letter
Produces a formal annual update letter to tourism industry partners and member businesses.
You are the CEO of a destination marketing and management organisation writing the annual update letter to [your organisation]'s network of tourism partners and member businesses. Organisation name: [insert] Letter date: [insert] Your name and title: [insert] Key achievements from the past year to highlight: [list three to five — e.g. record international visitor numbers / major media coverage secured / new airline route launched] Key priorities for the coming year: [list three to four] Any changes to partnership or membership arrangements: [describe or write 'none'] Call to action or invitation: [e.g. invitation to the annual partner event / request to complete the annual partner survey] Write a formal but warm letter of approximately 400 words. Tone: confident, appreciative, forward-looking. Structure: opening greeting, review of the year, priorities ahead, any changes or requests, closing with a clear next step.
Usage notes. Review the tone carefully to ensure it matches your organisation's voice. The opening paragraph in particular benefits from personalisation that AI cannot provide.
Convention Bureau Bid Document — City Pitch for International Congress
Produces a structured bid document pitching a city to host an international association congress or conference.
You are the director of a convention bureau preparing a formal bid document to host [congress or event name] in [city name] in [year]. Organisation: [convention bureau name] City: [city name and brief description — e.g. a city of 200,000 in Northern Europe with a growing life sciences and technology sector] Event: [event name, association name, estimated attendance, number of days] Competing cities (if known): [list or write 'not specified'] Venue proposed: [name and brief description of capacity and facilities] Key strengths of the city as a congress destination: [list four to six — e.g. direct air connections from 20 European cities / leading university and research institutions in the relevant field / strong accommodation capacity within walking distance of the venue / track record of hosting similar events] Legacy and sustainability commitments available: [describe or write 'to be developed'] The bid document should include: 1. Cover letter from the convention bureau CEO or mayor (one page) 2. City overview (destination highlights, academic and industry relevance to the association's field) 3. Venue proposal with capacity details 4. Accommodation overview 5. Accessibility (air connections, local transport) 6. Programme support available from the convention bureau 7. Sustainability and legacy commitment 8. Budget support or incentives offered (placeholder section) 9. Testimonials or past event references (placeholder) 10. Closing statement and next steps Format as a professional bid document with clear section headings. Length: approximately 1,200 words.
Usage notes. Sections 8 and 9 require real information only you can provide. All venue capacities, transport connections, and accommodation figures must be verified before submission. AI-generated figures must never appear in a formal bid.
Post-Event Impact Report — Convention or Business Event
Produces a structured post-event economic and reputational impact report for a convention or business event.
You are an analyst at a convention bureau producing a post-event impact report for [event name] held in [city] on [dates]. Event details: - Event type: [e.g. international association congress / corporate incentive trip / trade conference] - Total delegates: [number] - International delegates: [number or percentage] - Average length of stay: [number of nights] - Venue: [name] Economic data (use the figures you provide — do not invent numbers): - Estimated direct delegate spend: [figure or write 'to be calculated'] - Hotel room nights generated: [figure] - Estimated total economic impact: [figure or 'to be calculated'] Media and visibility: - Media coverage secured: [describe or 'not yet measured'] - Social media reach: [figure or 'not yet measured'] Legacy outcomes: [describe any research collaborations, investment leads, or knowledge transfer outcomes, or write 'to be confirmed'] Write a structured post-event impact report suitable for sharing with the event organiser, city funders, and internal stakeholders. Include: executive summary, event overview, economic impact section, media and visibility section, delegate experience summary (write as inferred from event type — flag that delegate survey data should be inserted), legacy and knowledge transfer section, and recommendations for future events. Length: 500 to 600 words. Tone: factual, structured, professional.
Usage notes. Replace all placeholder figures with real data. Economic impact methodology should be referenced and consistent with your standard approach (e.g. UK Events Impact Calculator, IMEX methodology, or your national standard).
Delegate Pre-Arrival Email Sequence — Three Emails
Produces a three-email welcome sequence for international congress or event delegates.
You are the delegate experience manager at a convention bureau. Write a three-email pre-arrival sequence for international delegates attending [event name] in [city], [dates]. Email 1: Sent four weeks before the event Purpose: Welcome, practical logistics, and destination overview Content to include: welcome from the convention bureau, key logistics summary (venue address, registration details), three highlights of the destination to build anticipation, link to delegate information page Email 2: Sent two weeks before the event Purpose: Getting around and accommodation tips Content to include: airport transfer options, local transport guide, recommended areas to stay or explore, weather and packing advice for [month and destination] Email 3: Sent three days before the event Purpose: Final practical information and local tips Content to include: conference app download reminder, emergency contacts, three restaurant recommendations near the venue, one cultural experience worth fitting in before or after the conference Tone for all three emails: professional but warm, welcoming of international visitors, specific to the destination. Each email: subject line, preview text, and full email body. Length per email: 200 to 250 words.
Usage notes. Verify all practical information including transport options, restaurant recommendations, and weather advice against current local knowledge. AI recommendations for specific venues may be outdated.
Sustainability Report Section — AI-Assisted Draft
Produces a structured sustainability reporting section suitable for inclusion in an annual report or stakeholder communication.
You are a sustainability manager at a destination marketing and management organisation (DMO). Write the sustainability section of the organisation's annual report for [year]. Organisation name: [insert] Reporting framework (if applicable): [e.g. Glasgow Declaration on Climate Action in Tourism / UN SDGs / GRI / GSTC / or write 'no formal framework yet'] Sustainability commitments and activities completed this year: [list four to eight — e.g. signed the Glasgow Declaration / launched a responsible travel guide for visitors / measured and offset staff business travel emissions / trained all staff in sustainable tourism principles] Measurable outcomes (use your real figures): [e.g. carbon footprint of events reduced by X% / X% of partner businesses hold a sustainability certification / X tonnes of CO2 offset] Challenges encountered: [list one to two] Priorities for the coming year: [list three] Write a sustainability report section of approximately 500 words. Tone: honest, specific, and grounded in evidence. Do not use vague sustainability language such as 'we are committed to' without following it with specific, measurable action. Structure: introduction, progress against commitments, measurable outcomes, challenges and honesty section, priorities ahead.
Usage notes. All figures must be real and verified. Sustainability reports that contain unsubstantiated claims expose organisations to greenwashing risk. Have the section reviewed by your sustainability lead before publication.
AI Chatbot Knowledge Base — Seed Questions and Answers
Generates a structured set of seed questions and answers for training a visitor-facing AI chatbot or virtual assistant.
You are a digital experience manager at a destination marketing and management organisation preparing the initial knowledge base for a visitor-facing AI chatbot. Destination: [destination name] Chatbot name or persona (if decided): [insert or write 'not yet decided'] Key information about the destination to work with: [provide five to ten factual bullet points — e.g. main attractions, typical weather by season, getting there options, accommodation range, local transport, key annual events, unique local experiences] Generate 30 visitor questions and ideal chatbot answers covering the following categories: - Getting there (five questions) - Getting around (four questions) - Where to stay (four questions) - What to do (six questions) - Food and drink (four questions) - Practical visitor information (four questions, e.g. currency, language, opening hours, safety) - Sustainability and responsible travel (three questions) For each question and answer: - Keep the answer to two to three sentences - Write in the chatbot's voice (friendly, helpful, specific) - Flag any answer where real-time data would be needed (e.g. current event listings, live transport schedules) Format as a table: Question / Answer / Category / Real-time data needed (yes/no)
Usage notes. All answers must be verified against current, accurate information before loading into a live chatbot. AI will generate plausible but potentially inaccurate answers for specific operational details.
Visitor Survey — Question Design for Annual Satisfaction Research
Produces a structured visitor or delegate satisfaction survey with question design and logic flow.
You are a research manager at a destination marketing and management organisation. Design a visitor satisfaction survey for [destination name or event name]. Survey purpose: [e.g. measure overall visitor satisfaction and identify improvement priorities / assess delegate experience at an international congress] Target respondents: [e.g. international leisure visitors who stayed at least one night / delegates attending [event name]] Preferred survey length: [e.g. five minutes maximum / ten questions maximum] Topics to cover: [select relevant — overall satisfaction / accommodation / transport and accessibility / activities and attractions / food and drink / value for money / sustainability and responsible travel / digital experience / likelihood to recommend / likelihood to return / source of information for the trip / spending data] For each question provide: - Question text (in plain, clear English) - Question type (e.g. 5-point scale / multiple choice / open text) - Response options where applicable - Logic note (e.g. only show if previous answer was X) Include a GDPR-compliant consent statement at the opening of the survey and a thank-you message at the end. Format as a numbered question list with the fields above for each question.
Usage notes. Survey design should be reviewed by a research professional before fieldwork. Ensure the consent statement meets your organisation's GDPR obligations and is reviewed by your DPO.
AI Training Session Plan — Staff Introduction to AI Tools
Produces a structured plan for a half-day staff training session on AI tools for DMO professionals.
You are the head of operations at a destination marketing and management organisation planning a half-day staff training session on AI tools. Organisation: [name] Number of participants: [number] Staff roles represented: [list — e.g. marketing managers, content team, business events team, finance and admin staff] Current AI tool experience: [e.g. most staff have tried ChatGPT informally but there is no structured use policy / very limited — this is the first formal introduction] Session duration: 3.5 hours including breaks Format: [in-person / online / hybrid] Design a half-day training session plan that covers: 1. Why AI matters for our organisation (not theory — practical relevance to their roles) 2. Our AI use policy and what it means in practice (15 minutes — requires your real policy to be inserted) 3. Live demonstration of three to four practical AI use cases relevant to the staff roles present 4. Hands-on practice exercise (participants try a prompt relevant to their role) 5. Q&A and common concerns 6. Next steps and resources For each session element provide: - Duration - Learning objective - Suggested content or activity - Facilitator notes - Materials needed Include a list of five practical prompts to use in the hands-on exercise, one for each of: marketing, communications, business events, administration, and leadership.
Usage notes. The policy section requires your real AI use policy to be inserted. The demonstration prompts should be tested in advance by the facilitator to ensure they produce useful outputs on the day.
Job Description — AI and Digital Innovation Lead
Produces a complete job description for an AI and digital innovation role within a DMO or convention bureau.
You are the CEO of a destination marketing and management organisation (DMO). Write a job description for a new role: [choose title — e.g. AI and Digital Innovation Lead / Head of Digital and Data Strategy / Digital Transformation Manager]. Organisation: [name] Organisation type: [DMO / Convention Bureau / Business Events Organisation] Organisation size: [e.g. 15-person team with an annual turnover of €2M] Reporting to: [CEO / Head of Marketing / other] Contract type: [permanent / fixed-term / freelance] Location: [city, country] Salary range: [insert or write 'competitive, dependent on experience'] The role should cover responsibility for: - AI tool selection, governance, and implementation across the organisation - Staff training and AI capability building - Digital strategy including answer-engine optimisation and AI search visibility - Data governance and GDPR compliance related to AI tools - Monitoring regulatory developments including the EU AI Act - Reporting to leadership on AI adoption and performance The job description should include: 1. Role overview (two paragraphs) 2. Key responsibilities (eight to ten bullet points) 3. Required qualifications and experience 4. Desirable qualifications and experience 5. Personal attributes 6. What we offer 7. How to apply Tone: professional, specific to the tourism and destination sector, non-generic.
Usage notes. Review salary range and contract terms against your local market before advertising. Ensure the job description complies with employment law in your jurisdiction.
These prompts are provided for professional use by destinationready.ai members. They are designed to produce useful first drafts and structured frameworks. All AI output must be reviewed by a qualified professional before publication, submission, or use in official documents. destinationready.ai accepts no liability for consequences arising from the use of these prompts. See our full disclaimer at /terms.html.
The full vendor-neutral library of AI tools for destinations, with the data and ethical consideration that matters for each. Use the Function area filter above, or search and filter by pricing tier.
Working document templates you can adapt for your organisation. All templates are starting points, not finished products — adapt them to your context, governance structure, and resource capacity.
More templates — marketing plans, vendor assessment scorecards, GDPR checklists, and board briefing decks — are being added throughout the membership year. Suggest a template →
AI-Powered Visitor Concierge Covering 1,000+ Partners
Visit Tampa Bay deployed an AI chat concierge handling 6,500+ visitor questions, 45% of them outside business hours.
Challenge
Visit Tampa Bay needed to provide visitors with accurate, on-brand answers to questions about attractions, sports events, dining, and transport — including outside business hours, when 45% of visitor enquiries were occurring.
Approach
Partnered with Satisfi Labs to deploy an AI chat agent trained on CRM data and website content. The agent was connected to partner agents at Zoo Tampa and the Tampa Bay Rays through a "chat-in-chat" capability, enabling seamless handoffs to authoritative partner sources.
Outcome
Over 6,500 visitor questions handled since implementation. 45% of conversations occurred outside normal business hours. Content scalability improved across more than 1,000 partner organisations.
Ethical considerations
The AI agent was trained to redirect sensitive queries and align all responses with the DMO’s values and messaging guidelines. Human oversight was maintained through ongoing training by DMO staff.
Lessons learned
Deploying an AI concierge earlier would have captured significant visitor engagement value. Integration with partner data sources is critical for response accuracy.
Source / attribution
Simpleview / Satisfi Labs case study, 2025. (simpleviewinc.com — publicly available)
Virtual Concierge That Reveals What Visitors Actually Want
Visit Austin used conversational AI to surface visitor intent that surveys and analytics could not reveal.
Challenge
Visit Austin wanted to understand visitor intent more accurately than demographic data and website analytics alone could reveal.
Approach
Deployed Satisfi Labs AI Chat on the destination website, powered by Simpleview CRM data. The conversational interface provided granular, real-time answers to visitor questions about listings, events, and transport.
Outcome
The chat data revealed unexpected visitor intent patterns — for example that 41% of hotel enquiry conversations began with non-hotel related questions, and 77% of exploratory questions were asked outside business hours. This data informed the digital marketing team’s content and campaign strategy.
Ethical considerations
All visitor interaction data was used in aggregate for strategic insight. No individual visitor data was used for profiling or targeted advertising.
Lessons learned
Conversational AI produces a quality of visitor intent data that surveys and analytics cannot replicate. The value extends beyond customer service into strategic intelligence.
Source / attribution
Simpleview / Satisfi Labs case study — Visit Austin, 2024. (simpleviewinc.com — publicly available)
AI Search Visibility Strategy: Becoming the Authoritative Answer
Brand USA built an answer-engine optimisation strategy to remain visible as travellers shift trip planning to AI tools.
Challenge
Brand USA recognised that over 60% of travellers were using AI tools for trip planning but rarely visiting destination websites during the research process. Traditional SEO was no longer sufficient to ensure visibility.
Approach
Developed an answer-engine optimisation (AEO) strategy focused on three priorities: structured website schema markup so AI systems could read destination data reliably; creation of content that answered questions AI systems could not find elsewhere online; and moving beyond top-ten lists toward hyperlocal, contextual content with genuine informational depth.
Outcome
Positioned Brand USA as an authoritative content source for AI-driven travel discovery, reducing dependence on traditional search ranking as a primary visibility mechanism.
Ethical considerations
All published content remained factually accurate and human-reviewed. No AI-generated content was published without editorial oversight.
Lessons learned
AI visibility requires a fundamentally different content strategy from SEO. The question to answer is not "what keywords do we rank for?" but "can an AI system accurately describe us?"
Source / attribution
Janette Roush, SVP Innovation and Chief AI Officer, Brand USA, cited in PhocusWire, May 2026. (phocuswire.com — publicly available)
AI-Driven Programmatic Advertising for Real-Time Campaign Optimisation
A large North American DMO used data-trained AI to optimise paid media bids and targeting in real time.
Challenge
A large North American DMO needed to improve the return on its paid media investment by moving away from historical audience assumptions toward real-time performance-based optimisation.
Approach
Implemented data-trained AI for programmatic advertising, enabling real-time bid adjustments, audience targeting, and budget reallocation based on live campaign performance rather than historical data.
Outcome
Measurable improvement in media buying efficiency and audience targeting precision. The AI layer enabled adjustments that human media buyers could not make at the same speed or granularity.
Ethical considerations
Audience targeting parameters were reviewed to ensure no discrimination by protected characteristics. Human campaign managers retained authority over strategic decisions and budget thresholds.
Lessons learned
Programmatic AI is fundamentally different from consumer-facing generative AI. It requires specialist vendor selection and clear performance KPIs defined before deployment.
Source / attribution
Orange 142, Practical Generative AI Use Cases for DMOs, 2025/2026. (orange142.com — publicly available)
Building a Human-Centric AI Governance Framework Across a DMO Team
A major convention and visitors bureau integrated AI across departments while protecting human creative direction.
Challenge
A major North American convention and visitors bureau needed to integrate AI tools across multiple departments without losing the human-centred storytelling that differentiated their destination marketing.
Approach
Adopted a governance framework built on three principles: define the problem before selecting a tool; treat AI as a collaborative partner rather than a standalone solution; invest in developing uniquely human skills including creative judgement, emotional intelligence, and critical review of AI outputs. Staff used AI for idea generation, first drafts, and data analysis, with human review required before any output was used externally.
Outcome
AI was integrated into daily workflows across marketing, content, and operations without replacing human creative direction. Staff confidence in using AI tools increased significantly after structured governance was in place.
Ethical considerations
Human oversight was embedded as a non-negotiable requirement across all AI use cases. Staff were explicitly trained that AI outputs require human judgement to be contextualised and refined.
Lessons learned
The most common mistake is jumping to tools before defining the problem. Governance and training must precede deployment.
Source / attribution
HIVE Interactive, presented at VISIT DENVER, cited in Destinations International blog, 2024/2025. (destinationsinternational.org — publicly available)
Developing a DMO AI Policy: Five Questions Every Organisation Must Answer First
Destinations International’s five-question framework helps DMOs set AI policy before adopting tools.
Challenge
Across the DMO sector, organisations were adopting AI tools without a governing policy, creating inconsistency, compliance exposure, and reputational risk. The 2025 DestinationNEXT Futures Study identified AI adoption, workforce readiness, and organisational capacity as the three core strategic themes requiring immediate attention.
Approach
Destinations International developed a structured AI policy framework based on five foundational questions: What is AI actually doing in your organisation today? What values must your AI use reflect? What are the boundaries — what will you not use AI for? Who is accountable? How will you review and update the policy as AI evolves?
Outcome
DMOs that adopted the framework reported clearer staff guidance, reduced ad hoc AI experimentation, and greater confidence in communicating their AI approach to funders and stakeholders.
Ethical considerations
The framework explicitly required DMOs to define ethical boundaries before selecting tools, rather than retrofitting governance after adoption.
Lessons learned
Real innovation in AI adoption comes from intentional governance and values alignment, not from the tools themselves.
Source / attribution
Destinations International AI Policy Framework, 2025. (destinationsinternational.org — publicly available)
Answer-Engine Optimisation: Structuring Destination Content for AI-Mediated Discovery
With 60%+ of travellers planning via AI, DMOs are structuring content so AI systems cite them accurately.
Challenge
Research from the Digital Tourism Think Tank found that over 60% of travellers now use AI tools for trip planning, yet these travellers rarely visit destination websites during the research process. DMOs risk becoming invisible at the moment travel decisions are made.
Approach
DMOs implementing AEO strategies focused on: auditing website schema markup to ensure AI systems could read destination data accurately; creating structured content that answered questions unique to the destination and not available from other sources; building verified, authoritative data feeds that AI systems could reference with confidence; and measuring AI-driven traffic separately from traditional organic search.
Outcome
SimpleView and Granicus analysis found that ChatGPT made nearly two million requests to DMO websites in an eight-day period, confirming that AI systems are actively consuming DMO content at scale. DMOs with structured data and original content were more likely to be cited.
Ethical considerations
All content published for AEO purposes must be factually accurate. AI visibility strategies that rely on misleading or exaggerated content expose DMOs to reputational and regulatory risk.
Lessons learned
AEO is not a replacement for good content strategy — it is an extension of it. The starting point is accurate, structured, original information that exists nowhere else on the internet.
Source / attribution
Digital Tourism Think Tank, PhocusWire, and SimpleView/Granicus research, 2025/2026. (thinkdigital.travel and phocuswire.com — publicly available)
Reclaiming Staff Time: AI for Repetitive Administrative Tasks
Small and mid-size DMOs reclaimed up to 5% of staff time per quarter by automating routine admin with AI.
Challenge
Small and mid-size DMOs face disproportionate administrative burdens relative to their staff capacity. Research cited by Destinations International indicated that DMOs can reclaim up to 5% of staff time per quarter by deploying AI for repetitive tasks.
Approach
DMOs piloted AI tools for: generating first drafts of board reports and stakeholder updates; automating routine email drafting and template management; summarising long documents and research reports; processing and categorising partner data; and building itinerary and content recommendations.
Outcome
Staff reported meaningful time savings on low-value tasks, freeing capacity for strategic work. Chatbots and itinerary builder tools also improved visitor satisfaction and website engagement at low implementation cost.
Ethical considerations
All AI-generated documents and emails required human review before sending or publishing. Staff were not replaced; time savings were reinvested in strategic and creative work.
Lessons learned
Small DMOs with limited resources benefit most from starting with administrative AI use cases before moving to more complex marketing or analytics applications.
Source / attribution
Destinations International, "4 Ways AI Can Streamline Your DMO’s Workload", 2025. (destinationsinternational.org — publicly available)
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