Why LLMs Like ChatGPT Are Becoming the New Google for Travel Research and How to Rank in Them

Something interesting has been happening in travel research over the last 18 months. A growing segment of travelers — particularly younger, more tech-forward ones — are starting their travel planning not with a Google search but with a conversation with ChatGPT, Claude, or Perplexity. 'What are the best villas for a family of five in Coorg with a private pool?' is a perfectly natural question to ask an LLM. And increasingly, people are doing exactly that.

How LLMs Actually Surface Travel Recommendations

LLMs don't search the internet in real time the way Google does (unless they have a web browsing tool attached). Their knowledge comes from training data — the text they were trained on before their knowledge cutoff. This means that being mentioned, described, or cited in content that was in their training data is the primary way a villa ends up in LLM recommendations.

What kinds of content end up in LLM training data? Blog posts and articles from credible sources. Review sites and travel guides. Property websites with enough unique, descriptive content to be indexable. Social media posts and forum discussions on platforms like Reddit. The more places your property appears with consistent, detailed, positive descriptions, the more likely an LLM is to know about it.

The Citation Problem

There's a difference between being mentioned in an LLM response and being cited in one. LLMs with web browsing (like Perplexity, or ChatGPT with browsing) can actively pull in current information from the web and cite sources. Being cited means having content that the LLM's browsing tool will find, evaluate as credible, and include as a reference in its answer.

What makes content citable? Specificity — generic descriptions are skipped in favor of specific, detailed ones. Authority — a page with clear authorship and original expert information is preferred over boilerplate. Structured information — pricing, location, amenities clearly organized so the LLM can extract and relay them accurately. Recency — updated content is preferred over static pages that haven't changed in years.

Structured Data for LLM Comprehension

JSON-LD structured data (schema.org markup) was originally designed to help Google understand page content better. It turns out that the same markup helps LLMs extract and represent information accurately. A property page with properly implemented LodgingBusiness schema tells both Google and any LLM parsing the page: this is a villa, it's at this location, it has these amenities, it accommodates this many guests, its price range is this.

When an LLM is answering 'what are the best villas in this location for groups of 8–10', a page with this structured data gives it much more to work with than a page with the same information buried in unstructured prose.

Content That LLMs Love to Cite

From looking at how LLMs respond to travel queries, a few content patterns emerge as highly citable: specific comparisons that differentiate your property, insider local knowledge that's hard to find elsewhere, original photography described with specific visual details, and first-person accounts from the property owner or staff.

Generic content — perfect for groups and families, luxurious amenities, close to popular attractions — is the content equivalent of white noise to an LLM. It adds no information to the model's representation of your property. Only specific, original, hard-to-replicate content stands out.

Building an LLM-Citable Presence

Practical steps: publish original, specific content about your property and its surroundings on your own website (with proper structured data). Ensure you're mentioned in credible third-party sources — local tourism boards, travel journalism sites, boutique hotel directories. Build a presence on the platforms that LLMs weight heavily: well-written property descriptions on review platforms, thoughtful owner responses to reviews.

The interesting thing about optimizing for LLM citation is that it's almost identical to optimizing for Google's Helpful Content guidelines. Both reward specific, authoritative, original content created for a human audience. The best strategy for ranking in 2026 is the same as the best strategy for creating genuinely useful hospitality content — they've converged.