The world is changing right before our eyes every day. It’s such a cliché, but the fact is that your potential guests are no longer typing “best hotels in Barcelona” into Google and clicking through ten blue links. They are asking ChatGPT, Perplexity, or Google’s AI Overview to plan their entire trip. And your brand either shows up in that AI-generated answer, or it does not exist.
This shift from traditional search to AI-powered discovery is not coming. It is already here. I have spent the last year adapting SEO strategies for tourism clients who are watching their organic traffic patterns change in real time.
The brands that understand Generative Engine Optimization now will dominate the next decade of travel marketing. Unless the world comes to an end and we no longer have to worry about it. For now, though, let’s think about what we can do.
What Is GEO and How Does It Differ From Traditional SEO?
Generative Engine Optimization or GEO is the practice of optimizing your content, brand signals, and online presence to appear in AI-generated responses from large language models like ChatGPT, Claude, Gemini, and Perplexity.
Traditional SEO focused on ranking in a list of links. GEO focuses on being cited, referenced, or recommended within a conversational answer.
Here is the fundamental difference: in traditional search, users see your title and meta description and decide whether to click. In generative search, the AI has already consumed your content, synthesized it with other sources, and delivered a verdict. The user might never visit your website at all. And unfortunately, that’s usually the case – the drop in website traffic is more than noticeable.
I also use the term AEO (Answer Engine Optimization) interchangeably with GEO. Some practitioners distinguish between them, but in my work with tourism clients, the optimization principles overlap significantly. Both focus on making your content machine-readable, authoritative, and citable.
The Technical Reality of How LLMs Source Information
Large language models like GPT-4 and Claude were trained on massive datasets that include web content up to their knowledge cutoff. But the more important factor for tourism brands is real-time retrieval. Tools like Perplexity and Google’s AI Overviews actively crawl and cite current web content.
This means your content needs two things: foundational authority (so training data includes positive signals about your brand) and current, well-structured information (so retrieval systems can pull accurate details).
When I audited a DMO client’s presence in ChatGPT responses earlier this year, I found that the AI was pulling information from a 2019 blog post on a third-party travel site. That post contained outdated pricing and a discontinued tour offering. The DMO’s own website had correct, current information, but it was buried in PDFs and JavaScript-rendered pages that LLMs struggle to parse.
Why Tourism Is Ground Zero for the GEO Shift
Tourism queries are exactly the type that AI assistants excel at answering. They are research-heavy, involve multiple decision points, and benefit from synthesized recommendations.
Consider how travelers actually use AI now:
- “Plan a 5-day itinerary for Costa Rica with diving and rainforest activities”
- “What are the best boutique hotels in Madrid near Retiro Park under €200?”
- “Compare Riviera Maya vs Cancun for a family trip in December”
These are not single-keyword searches. They are complex queries that AI handles by pulling from dozens of sources and synthesizing a coherent response. If your brand is not part of that synthesis, you are invisible.
That’s why your approach to content creation needs to change. Sticking to the same methods you used a few years ago won’t be nearly as effective as it used to be, at best.
The Zero-Click Reality for Travel Research
I have tracked this across multiple tourism clients: AI Overviews now appear for roughly 40-60% of informational travel queries in English-language markets. These overviews answer the question directly, often without requiring a click.
For a dive operation I helped build in Costa Rica (CostaRicaDivers.com), we noticed that queries like “best diving in Costa Rica” were increasingly being answered by Google’s AI with a synthesized list. The sites that appeared in that AI response saw maintained visibility. The sites that did not, even if they ranked on page one organically, saw declining engagement.
This is the new reality: ranking is not enough. You need to be the source that AI chooses to cite.
The Three Pillars of GEO for Tourism Brands
Pillar 1: Structured, Machine-Readable Content
LLMs and retrieval systems need to understand your content quickly and accurately. This means:
- Clear entity identification. Your hotel, tour, destination, or attraction needs to be defined explicitly. Use schema markup (LocalBusiness, TouristAttraction, LodgingBusiness, etc.) but also write content that clearly states what you are, where you are, and what you offer.
- Factual density over fluff. AI systems extract facts. They do not extract vibes. “Our charming boutique hotel offers a unique experience” gives the AI nothing to work with. “27-room boutique hotel in Madrid’s Malasaña district, built in 1890, with rooftop bar and no restaurant” gives the AI citable facts.
- Consistent NAP and entity data. Your name, address, and phone number should be identical across your website, Google Business Profile, and all citations. Inconsistency confuses both traditional search engines and LLMs attempting to verify information.
Pillar 2: Authority Signals Beyond Your Website
LLMs assess authority partly through training data, which includes mentions of your brand across the web. This is where traditional PR, digital PR, and brand building become GEO strategies.
When I work with hotel clients, I look at:
- Are they mentioned in authoritative travel publications (Condé Nast Traveler, Travel + Leisure, regional equivalents)?
- Do travel bloggers and content creators reference them with consistent, accurate information?
- Are they cited in forums, Reddit threads, and TripAdvisor discussions with positive sentiment?
- Do Wikipedia articles or destination guides mention them?
A boutique hotel with 50 high-quality mentions across trusted travel sites will outperform a larger hotel with 500 mentions on low-quality directories. LLMs are surprisingly good at assessing source quality.
Pillar 3: Direct LLM Presence and Monitoring
You need to actively monitor what AI systems say about your brand. This is not optional.
I run regular queries across ChatGPT, Claude, Perplexity, and Google’s AI Overview for my tourism clients. I document:
- Is the brand mentioned at all?
- Is the information accurate?
- What competitors are mentioned alongside them?
- What sources are being cited?
When I find inaccuracies, I trace them back to the source. Often it is an outdated article, a competitor’s comparison page, or a user-generated review that has been amplified. Fixing the source often improves the AI’s output, though the lag time varies.
Practical GEO Implementation for Tourism Websites
Content Architecture Changes
The traditional tourism website structure of Home → Destinations → Destination Page → Booking is not built for AI visibility. You need content that directly answers complex queries.
For a DMO I consulted with, we created what I call “synthesis pages.” These are comprehensive resources that answer multi-part questions:
- “Complete guide to diving in [destination]: sites, seasons, operators, and logistics”
- “[Destination] for families: activities, accommodations, and practical tips by age group”
- “[Destination] vs [Competitor]: honest comparison for different traveler types”
These pages are designed to be the definitive source that AI systems want to cite. They are factually dense, regularly updated, and structured with clear headers and direct answers.
Schema Markup Priorities
For tourism brands, these schema types should be priorities:
- Organization and LocalBusiness: Basic entity identification that helps AI understand what you are.
- FAQPage: Explicitly mark up your frequently asked questions. This format aligns perfectly with how LLMs retrieve and cite information.
- TouristAttraction and TouristDestination: For attractions and DMOs, these schemas provide structured data about what visitors can experience.
- Review and AggregateRating: Third-party validation signals that help AI assess quality and reputation.
- Event: For seasonal activities, festivals, or time-limited offerings that need accurate date information.
The Wikipedia and Wikidata Factor
I have seen this repeatedly: tourism entities with Wikipedia pages get mentioned more frequently in AI responses than those without. Wikidata entries are even more directly used by some AI systems.
If your hotel, attraction, or destination does not have a Wikipedia page and is notable enough to warrant one, this should be a priority. For smaller entities, ensuring accurate Wikidata entries and being mentioned in relevant Wikipedia articles (about the destination, regional tourism, etc.) provides meaningful lift.
This is not manipulation. It is ensuring that authoritative knowledge bases contain accurate information about your brand.
Measuring GEO Success
Traditional SEO metrics (rankings, organic traffic, conversions) still matter. But GEO requires additional measurement:
- AI mention tracking: Regular queries across multiple AI platforms, documented with date stamps. I run these weekly for active clients.
- Citation source analysis: When AI mentions your brand, what sources is it citing? This tells you which content is being retrieved and trusted.
- Competitor mention comparison: How often do competitors appear in AI responses for queries where you should be considered?
- Accuracy monitoring: Is the AI saying correct things about your brand? Outdated pricing, discontinued services, or factual errors in AI responses can actively harm bookings.
There is no perfect tool for this yet. I use a combination of manual queries, custom scripts, and emerging platforms that track AI visibility. The landscape is evolving quickly.
The Timeline for Action
I get asked constantly whether brands can wait to address GEO. My answer is consistently no.
The tourism brands building AI visibility now are establishing themselves in training data and retrieval systems. The authority and mention patterns being created today will influence AI responses for years. Waiting means playing catch-up against competitors who moved first.
For my tourism clients, GEO is not replacing SEO. It is becoming the second layer of optimization that runs parallel to traditional search work. The technical foundations (site speed, crawlability, structured data) serve both. The content principles (factual density, clear entity identification, authoritative sourcing) serve both.
But the strategic emphasis is shifting. Every piece of content I now create for tourism clients is evaluated on two dimensions: will this rank in traditional search, and will this be cited by AI systems?
FAQs
Is GEO the same as AEO?
In practical application, yes. Some practitioners use AEO (Answer Engine Optimization) to focus specifically on featured snippets and direct answers in traditional search, while GEO emphasizes LLM and chatbot visibility. I use both terms because the optimization strategies overlap significantly. Both require structured, authoritative, machine-readable content.
How long does it take to see results from GEO optimization?
This varies more than traditional SEO. Changes to live content can appear in retrieval-based systems like Perplexity within days. Influencing ChatGPT’s base knowledge requires your content to be authoritative enough to be included in future training cycles, which could take months or longer. The fastest results come from correcting inaccurate information on authoritative third-party sites that AI is already citing.
Should small tourism businesses worry about GEO?
Yes, but with realistic expectations. A small dive shop will not outrank major destinations in broad queries. However, for specific, long-tail queries where you should be the answer (“best PADI courses in [specific location]”), being properly optimized can mean the difference between AI mentioning you or mentioning a competitor. The investment is proportionally smaller than what large brands need to make.
Does traditional SEO still matter if AI is changing everything?
Absolutely. AI Overviews still appear within Google Search. Many users still prefer clicking through to websites. And the signals that make content rank well traditionally (authority, relevance, technical optimization) are the same signals that make content get cited by AI. Good SEO is the foundation of GEO. You cannot have one without the other.
What is the biggest GEO mistake tourism brands make?
Relying on outdated content that AI systems find and cite incorrectly. I have seen hotels lose bookings because ChatGPT quoted 2020 pricing from an old blog post. DMOs get embarrassed when AI recommends attractions that closed years ago. The first GEO priority for most tourism brands is auditing what AI currently says about them and identifying the sources of any inaccurate information.
Ready to Audit Your AI Visibility?
If you manage SEO for a tourism brand, DMO, hotel, or tour operator, understanding your current AI visibility is the essential first step. I offer GEO audits that document what major AI systems say about your brand, identify source content driving those mentions, and provide a prioritized action plan.
Get in touch to discuss how GEO fits into your overall search strategy.
Written by Peter Sawicki, an experienced strategist with a background spanning multiple industries, from private enterprises to government projects. Having worked across different countries and markets, I bring a global perspective and practical insights to every SEO strategy I design. As a diver and adventure seeker, I’ve learned to balance attention to detail with a drive to explore new solutions, a mix that shapes both my work and my life.
