GEO for Destination Marketing: How to Get Your DMO Cited by ChatGPT and Perplexity

A traveler opens ChatGPT and types: "Where should I take my family for a long weekend this fall? We like outdoor activities, good food, and somewhere that feels different from a big city."

ChatGPT responds with three destination recommendations. Detailed, confident, specific. No links to scroll through. No ranking to fight for. One answer.

Is your destination in it?

If you do not know the answer to that question, this guide is where to start. Generative Engine Optimization, or GEO, is the practice of ensuring your destination gets cited by AI platforms when they respond to relevant traveler queries. It is the most important new discipline in destination marketing, and most DMOs have not yet figured out how to approach it.

What GEO Is and How It Differs from SEO

Traditional SEO was about ranking pages on Google. You identified keywords, optimized content, built backlinks, and climbed a list. The mechanism was relatively transparent: Google published guidelines, tools measured your rankings, and agencies had well-worn playbooks.

GEO is fundamentally different. You are not trying to rank a page. You are trying to shape what an AI model believes about your destination based on everything it has read across the internet.

When a traveler asks ChatGPT or Perplexity a question about travel, the AI does not run a search and return links. It synthesizes a response from the vast amount of text it has processed, weighted toward sources it considers credible and relevant. Your goal is to be well-represented in those sources, with accurate and positive framing, so that when AI forms its response your destination is a natural inclusion.

The shift this requires is significant. SEO optimized for crawlers. GEO optimizes for consensus.

For a full breakdown of how GEO fits alongside SEO and AEO, see: AI Search Optimization for DMOs: The Complete 2026 Guide.

Why DMOs Are Uniquely Exposed to AI Search Disruption

Every industry is being affected by AI search, but destination marketing organizations face a specific structural problem.

Your destination cannot change. A software company can pivot its product, rebrand, or enter new markets. Your destination is your destination. If AI has formed an incomplete or inaccurate picture of what your region offers, you cannot simply update a product page. You have to change the broader conversation happening about your place across the internet.

The stakes are real. According to NextTown's 2026 AI Search for Tourism Report, DMOs across the industry are seeing organic web traffic fall by 20 to 40 percent year over year as AI Overviews and generative responses capture the attention that used to flow to destination websites.

At the same time, the opportunity is significant. That same report found that 46% of all trips Americans took last year involved AI search, and that AI search visitors are worth an estimated 4.4x more than traditional search visitors. Travelers who arrive through an AI recommendation have already been told your destination is a good fit for their needs. They are primed to act.

The destinations that figure out GEO early will build a durable advantage. AI models update, but the semantic authority you build, the community presence, the positive sentiment in the sources AI trusts, compounds over time.

How ChatGPT and Perplexity Decide Which Destinations to Cite

This is the part most DMO marketers misunderstand, and it is worth explaining carefully.

AI platforms do not simply read your website and summarize it. According to NextTown's 2026 report, the process works in a clear hierarchy when a traveler asks a discovery-style question like "where should I visit?"

First, AI looks for community-validated content. Reddit threads, TripAdvisor reviews, Quora discussions. These sources represent real traveler opinions with voting mechanisms that AI interprets as a credibility signal. A highly upvoted Reddit thread recommending your destination for fall foliage carries more weight with AI than your own website's fall foliage page.

The reasoning is simple: your website is biased, and AI knows it. When asked to form an opinion about where someone should travel, AI is not going to trust destination marketing copy. It wants to know what independent travelers actually think.

Second, if the UGC sources provide enough reason to include your destination, AI backtracks with third-party editorial content, travel blogs, and news coverage to add more context.

Third, and only after it has decided to include you, will AI pull from your own website for factual, specific supporting detail.

This hierarchy has a critical implication: if you are not present in the right community conversations and third-party publications, your website content is effectively invisible to AI for discovery queries. It does not matter how well-written your travel guide is if AI never gets to the point of looking at it.

5 GEO Tactics for Destination Marketers

1. Map the traveler topics where you belong

GEO starts not with keywords but with topics. Think about what travelers are actually asking AI: "best road trip stops in the Pacific Northwest," "underrated beach towns for families," "where to go in October for festivals." Which of these does your destination genuinely belong in?

NextTown's report highlights a key insight here: AI works much more generally than Google. If your destination performs well in AI responses for "best family ski towns in Colorado," it will also surface for "plan me a mountain ski trip for families." You do not need to target every variation. Win the topic and AI handles the semantic neighbors.

Start by listing 10 to 15 topics your destination is legitimately strong for. Then query each one across ChatGPT, Perplexity, and Google AI Overviews. Note where you appear and where you do not.

2. Understand and influence your UGC footprint

Since Reddit, TripAdvisor, and Quora are where AI looks first, your presence there matters enormously. But this is not a place for branded marketing. AI will discount content that reads as promotional.

The approach that works is authentic, specific, valuable contribution. If a Reddit thread asks about hidden gem mountain towns, a genuine, detailed response about your destination from someone who knows it well is far more valuable than a press release. If TripAdvisor has outdated or thin coverage of your destination's best offerings, contributing accurate, helpful information has real downstream impact on AI responses.

For many DMO teams this requires a new kind of content work. You are not writing for your website. You are seeding the ecosystem that AI actually reads.

3. Align your website content with your target topics

Once AI has decided your destination is relevant for a topic, it will look to your website for specific detail. This is where your owned content strategy comes in.

For each topic you are targeting, your website should have deep, specific, authoritative content. Not generic travel copy, but the kind of highly detailed information that only a destination authority can provide. If you are the family ski destination, you need content that goes beyond "great slopes for all skill levels." You need specific trail recommendations by age, ski school details, family-friendly lodging comparisons, what to do when it is a bad snow day.

The goal is to give AI the specific, factual content it needs to include your destination confidently and in detail.

4. Build third-party editorial coverage

Travel blogs, regional publications, and editorial guides are the second layer AI consults after UGC. Earned media coverage in outlets that write about your destination category, whether that is outdoor adventure, culinary travel, family trips, or cultural tourism, builds the third-party credibility that makes AI more confident in citing you.

This is not just traditional PR. It is thinking about media outreach through the lens of AI citation. When pitching coverage, prioritize outlets that are already being cited by AI for your target topics. You can identify these by reviewing the sources listed in AI Overview responses and Perplexity citations.

5. Monitor, identify gaps, and iterate

GEO is not a one-time project. AI models update, new sources get indexed, traveler behavior shifts. Your position in AI responses will change, and you need to be tracking it.

Regular monitoring means querying your target topics across AI platforms at least monthly, noting which destinations are being cited alongside or instead of yours, and tracing back to identify what sources are driving those citations. This audit tells you where to invest your content and outreach resources next.

The NextTown dashboard automates this monitoring at scale, tracking visibility, sentiment, position, and sources across AI platforms with content recommendations based on what is actually working. For a look at how it works, you can request a demo at NextTownAI.com.

How to Measure If Your GEO Is Working

This is genuinely harder than measuring traditional SEO, because AI platforms do not publish the equivalent of Google Search Console. But there are meaningful signals to track.

AI mention frequency. How often does your destination appear when you query your target topics? Track this manually or with a tool like NextTown's dashboard. A meaningful improvement over 90 days is a positive signal.

Sentiment in AI responses. When your destination is cited, how is it framed? As a top recommendation or as a footnote? Positive, specific characterizations ("known for exceptional family ski infrastructure" rather than just "a good ski destination") indicate your content strategy is working.

Source attribution. When AI cites you, what sources is it drawing on? If your target Reddit threads and third-party articles are appearing as citations, your off-site content work is having impact. If AI is pulling from your website directly, your owned content is doing its job.

Branded search volume. AI recommendations often lead to follow-up Google searches. If travelers hear about your destination from ChatGPT, they frequently search your name next. Rising branded search volume is an indirect indicator of AI visibility.

Common Mistakes DMOs Make with GEO

Treating it like SEO. The technical fundamentals of your website matter, but they are not the primary lever. Investing heavily in technical audits and metadata optimization will not move your AI visibility if your community footprint is thin.

Publishing branded content on UGC platforms. Reddit users in particular are quick to identify and reject promotional content. Content posted on behalf of a DMO that reads like a press release will be downvoted or removed, which is the opposite of what you need.

Waiting for better measurement tools. GEO measurement is imperfect today, but the destinations building presence now will have compounding advantages. Waiting for perfect attribution is a strategy for falling behind.

Focusing only on owned channels. Your website is important, but GEO requires thinking beyond it. The most valuable content for AI citation purposes may live on platforms you do not control, and your strategy needs to account for that.

Ignoring negative sentiment. If AI is already citing your destination but consistently mentioning a drawback, like being expensive, crowded, or lacking family amenities, that sentiment will persist until you address the underlying source material. Identifying and countering inaccurate or outdated characterizations is as important as amplifying positive ones.

Data in this article is sourced from the NextTown 2026 AI Search for Tourism Report.

For a broader overview of AI search optimization for destination marketing, see: AI Search Optimization for DMOs: The Complete 2026 Guide.

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