Key takeaways
- In a July 2026 study of 100 travel queries in Google AI Mode, independent travel blogs and content sites earned 56.8% of all citations. Official tourism and government sites earned 1.2%, and major travel publishers earned 4.2%.
- YouTube was the most-cited single domain in that study, appearing in 76 of 100 answers. Instagram and Facebook together earned 5.1% of citations, roughly half the share of video.
- AI platforms build answers from many sources at once. What third parties publish about a hotel shapes AI recommendations as much as the hotel’s own website does.
- Closing the Hotel AI Discovery Gap requires a digital PR strategy built around independent publishers and YouTube creators who publish specific, lasting, AI-readable content. Social reach alone isn’t enough.
What AI Actually Cites When Travelers ask About Travel
Most hotel marketing teams think about AI visibility in terms of the content they control: the website, the booking engine, the Google Business Profile, and the OTA listings. That content matters. But it is only part of what AI reads.
In July 2026, Search Agency sent 100 unbranded travel queries to Google AI Mode and classified every source it cited. AI Mode cited 2,558 sources from 1,229 different domains, an average of about 26 sources per answer. Three quarters of those citations were travel guides, tips articles, or itineraries.
The breakdown by source type:
| Source Type | Share of AI Mode Citations |
|---|---|
| Independent travel blogs & content sites | 56.8% |
| OTAs & booking platforms | 11.1% |
| Video (mostly YouTube) | 9.7% |
| Forums & community (Reddit, Quora, TripAdvisor) | 7.3% |
| Social platforms (Instagram, Facebook) | 5.1% |
| Google’s own properties | 4.5% |
| Major editorial publishers | 4.2% |
| Official tourism & government sites | 1.2% |
Source: Search Agency, 100-query Google AI Mode travel study, July 2026.
The researchers note this was a single-day snapshot with no location set, so treat the category-level pattern as the reliable signal rather than the exact percentages. That pattern is clear: AI Mode draws on dozens of sources for each answer, and independent travel content supplies more than half of them.
Travel is also the category where citations matter most. Similarweb reported in September 2026 that ChatGPT answers about travel included a web citation 22.6% of the time, against a 6.8% average across all conversations. Travelers are asking AI about trips, and AI is answering with other people’s content.
Why Independent Travel Publishers get Cited More Than Big Brands
Domain size did not predict who got cited in the Search Agency study. Condé Nast Traveler appeared in 15 of the 100 answers and Lonely Planet in 11. Meanwhile, thousands of smaller independent sites collectively supplied most of the material. Several factors explain the pattern.
AI breaks questions into smaller questions. A traveler asking about the best boutique hotels in Lisbon triggers a series of narrower searches behind the scenes: neighborhoods, walking distances, rooftop bars, breakfast quality. A broad publisher roundup answers the top-level question. An independent writer’s detailed neighborhood guide answers the narrow ones.
Independent publishers name things. The pages AI cites most often have clear headings, named recommendations, real prices, opening hours, and walking times. Independent travel writers tend to write this way because their readers expect practical detail.
First-hand experience reads as credible. A writer who stayed at a property, paid for breakfast, and describes the view from a specific room provides the kind of experience-based detail that AI platforms weight heavily.
Many hotel websites give AI very little to work with. As we covered in Why Your Hotel Restaurant Doesn’t Show Up in AI Search Results, phrases like “elevated dining experience” and “world-class amenities” communicate almost nothing an AI platform can match to a traveler’s question. When a hotel’s own description is vague, AI relies on whoever described it more specifically.
Before the Booking: Closing the Hotel AI Discovery Gap to Drive Total Revenue
The new book from Amber S. Hoffman of The FS Agency. Travelers now plan entire trips — where to stay, eat, and spend — in conversations with AI, before they ever reach a booking site. Before the Booking shows hotel owners and operators how to make sure AI can see, understand, and recommend their property.
The book is available on Amazon via Kindle download or paperback. Secure your copy here.
Why YouTube is more reliable than Instagram for AI visibility
Many hotel influencer budgets still center on Instagram. The citation data points in a different direction.
In the Search Agency study, YouTube appeared in 76 of 100 AI Mode answers, more than any other domain. Instagram and Facebook combined earned 5.1% of citations. An Adweek-reported analysis of 6.1 million AI citations found YouTube generates 18 times more AI citations than Instagram and 50 times more than TikTok. Surfer SEO’s analysis of 46 million AI Overview citations found YouTube accounts for about 23% of them.
The reason is mechanical. AI platforms do not watch videos. They read the text attached to them: the title, the description, the chapter markers, and the spoken transcript.
A YouTube video in which a creator walks through a property and describes, out loud, the room categories, the pool hours, the restaurant menu, and the neighborhood produces a detailed, indexable transcript. An Instagram Story disappears in 24 hours and leaves nothing for AI to read. A Reel set to trending audio carries little text beyond a caption.
Channel size matters less than most marketers assume. OtterlyAI’s study of more than 100 million AI citations found that views, likes, and subscriber counts had near-zero correlation with how often a video was cited.
What mattered was structure: timestamped chapters that function like headings, descriptive video descriptions, and content built to be informative. A long-form video with proper chapters can earn separate citations across several subtopics.
That changes how a hotel should evaluate a creator. A food and travel YouTuber with 5,000 subscribers who narrates specific, accurate detail can generate more AI visibility than a lifestyle Instagram account with 300,000 followers. Instagram still has a role in awareness and inspiration. It is not an AI visibility channel.
What This Means for the Hotel AI Discovery Gap
The Hotel AI Discovery Gap is the distance between what a hotel actually offers and how clearly AI can read, describe, and recommend it. The concept is developed in our book Before the Booking: Closing the Hotel AI Discovery Gap to Drive Total Revenue.
Most hotels try to close that gap through their own channels: rewriting the website, adding structured data, and cleaning up OTA listings. That work is necessary. Owned content still carries weight for branded and location-specific questions, and Yext’s 2025 citation research found first-party websites accounted for a large share of citations on those queries.
But when a traveler asks an open question, such as where to stay in Porto for a food-focused weekend, AI assembles the answer from dozens of sources, most of which the hotel does not control. If those sources describe the property generically, or don’t mention it at all, the hotel’s own well-written website is outweighed.
AI discoverability has to be managed as a whole: what the hotel says about itself, and what credible independent sources say about it. Consistency across both is what gives AI the confidence to recommend a property by name. Our article on why AI recommends some hotels and not others covers the owned side in detail. This article is about the other side.
A New Digital PR Model for Hotels: From Reach to Substance
Traditional hotel influencer and PR programs measured reach: follower counts, impressions, engagement rates, and the number of posts delivered. The brief specified deliverables, a hashtag, and an aesthetic. It rarely specified what the content should actually say.
A digital PR strategy built for AI visibility measures substance instead. In practice, that means five changes.
1. Prioritize independent publishers with established, indexed websites. A travel writer whose site has published detailed, well-organized guides for years contributes lasting AI signal every time a relevant question is asked. Look for publishers who already rank for, and get cited on, the destination and traveler type you want to reach.
2. Add YouTube to every creator partnership. Ask for long-form video with spoken commentary and chapter timestamps. Treat the transcript as a deliverable alongside the footage. The creator should say the property name, the neighborhood, the room types, and the specific experiences on camera.
3. Brief for specificity. Give the creator correct spellings, room category names, restaurant and spa details, signature dishes, and distances to nearby landmarks before the stay. A brief that asks for specific facts produces content AI can use. A brief that asks only for mood produces content AI skips.
4. Match the creator to the traveler you want. A food writer attracts food travelers. A family travel writer attracts families. Choose partners by the audience and expertise that fit your target guest, not by follower count.
5. Pitch placement in guides that already exist. Independent publishers maintain destination guides, neighborhood guides, and where-to-stay articles that AI already reads. Being included in the right existing guide, with specific and accurate detail, can do more than a standalone feature.
We see this from both sides. Alongside our consulting work, we run an independent food and travel publisher. The content AI picks up most readily is the content with named venues, real prices, and first-hand detail, not the most atmospheric writing.
How to Measure Digital PR in an AI-first Discovery Environment
Clicks are no longer a complete measure. Pew Research found that when a Google AI summary appeared, users clicked a traditional result in 8% of visits, compared with 15% when no summary appeared, and clicked a link inside the summary in only 1% of visits. A creator partnership can shape a traveler’s shortlist without producing a single tracked visit.
Measure instead:
- Before and after audits. Ask ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode the questions your ideal guest would ask. Record whether your property appears and how it is described. Repeat six to twelve weeks after partner content is published.
- Citation share. Track how often your property, and the publishers covering it, appear as sources for your priority queries.
- First-party AI data. Google Search Console’s generative AI report and Bing Webmaster Tools’ AI Performance report now show how often your pages appear in AI answers. We covered how to read them in The AI Search Black Box Just Opened.
This matters more now that Google has launched hotel booking inside AI Mode. Its launch partners are major chains and OTAs. For independent and boutique properties, the deciding moment comes earlier: when AI chooses which hotels to put in front of the traveler. Third-party content is a major input into that choice.
What This Means for Tourism Boards and DMOs
The same data carries a sharper message for destination marketing organizations. Official tourism and government sites earned 1.2% of AI Mode citations in the Search Agency study, the lowest of any category.
That is not because tourism board content lacks value. An analysis by SimpleView and Granicus found ChatGPT made nearly two million requests to destination websites in a single eight-day period. AI is reading DMO content. It is crediting other sources in its answers.
Two structural factors are likely at work. First, destination websites are typically written in inspirational language, which gives AI little to match against a specific traveler’s question. Second, a tourism board cannot recommend one hotel or restaurant over another. It has to represent all of its members equally. But travelers ask AI exactly those comparative questions: where to stay, where to eat, which is best. Independent publishers can answer them, so independent publishers get cited.
We call this the Destination AI Gap: the distance between what a destination actually offers and how clearly AI can read, describe, and recommend it. In Before the Itinerary: Closing the Destination AI Gap and Winning the Travelers You Actually Want, I describe three factors that close it: clarity, consistency, and context. Consistency is where independent publishers matter most, because a tourism board controls only part of what AI reads about its destination.
The practical implication is that press trips and creator programs are now an AI visibility tool, not only an awareness tool. A tourism board that briefs writers and YouTube creators for specificity, chooses them for subject expertise, and helps member hotels and restaurants appear in independent coverage raises how clearly AI understands the whole destination.
Frequently Asked Questions
In a July 2026 study of 100 travel queries, Google AI Mode drew 56.8% of its citations from independent travel blogs and content sites. OTAs supplied 11.1%, video 9.7%, forums 7.3%, social platforms 5.1%, major publishers 4.2%, and official tourism sites 1.2%.
YouTube. AI platforms read video transcripts, titles, descriptions, and chapters, so narrated YouTube content is readable by AI. Instagram Stories disappear, and most Instagram content carries little text for AI to use. One analysis of 6.1 million AI citations found YouTube generated 18 times more citations than Instagram.
Very little. OtterlyAI’s study of more than 100 million AI citations found near-zero correlation between a video’s views, likes, or subscriber count and how often AI cited it. Structure and specificity mattered more.
The Hotel AI Discovery Gap is the distance between what a hotel actually offers and how clearly AI can read, describe, and recommend it. The concept comes from Before the Booking by Amber S. Hoffman of The FS Agency.
The Destination AI Gap is the distance between what a destination actually offers and how clearly AI can read, describe, and recommend it to the right traveler. The concept comes from Before the Itinerary by Amber S. Hoffman.
Rethink Your Digital PR Strategy
If your creator and PR program is still measured in impressions and follower counts, it is likely missing where travelers now decide where to stay. Book a call with Amber to talk about your digital PR strategy.
Amber S. Hoffman, Founder The FS Agency
Amber S. Hoffman is the author of Before the Booking and Before the Itinerary, and a travel content publisher. She helps hotels, resorts, and destinations understand how AI systems read, describe, and recommend them.