The short answer: Zero-click search is real and growing, but for tourism brands it is not a catastrophe. Visitors arriving via AI-driven searches convert at 4.5 times the rate of traditional organic clicks, because they have already completed their research. The goal shifts from generating clicks to ensuring your brand is cited, positively, in the AI answers that replace those clicks.
Use the AI Search Readiness Assessment to score your travel brand against all 10 citation signals and get a personalised fix list.
The Zero-Click Reality for Tourism Brands
According to research from Bain & Company published in early 2025, 60% of searches now end without a click. When Google's AI Overview is present in the result, the rate rises to 43% of searches ending without any click at all. In Google's new AI Mode - currently rolling out beyond its initial US release - 93% of sessions end without a traditional click to an external site.
For tourism brands that have built their marketing around organic search traffic as a primary metric, these numbers are alarming. But the picture is more nuanced than it appears. Research from Noble Studios, tracking DMO performance data, found that visitors arriving through AI-driven searches are approximately 4.5 times more valuable than those from traditional organic clicks. These are travellers who have already used AI to research, compare, and narrow their options. When they do click through to a website, their intent is high and their likelihood to convert is significantly above average.
The practical implication is that the raw traffic numbers a tourism brand sees from organic search will continue to decline in the short to medium term, but the quality of that traffic, measured by conversion rate and revenue per session, will increase. The brands that adapt to this reality early - building for citation rather than just ranking - will capture a disproportionate share of the high-value traffic that remains.
How AI Overviews Are Hitting Travel Search Specifically
AI Overviews affect different types of travel queries very differently. Understanding this distinction is essential for prioritising where to invest and where the opportunity still lies.
Queries most likely to trigger AI Overviews in travel are informational and planning-oriented: "best time to visit Vietnam," "Cambodia itinerary two weeks," "is it safe to travel to Kampot," "what to pack for Southeast Asia." For these queries, AI Overviews are now appearing in 30% or more of results, according to data from BeaconPointHQ. This is where zero-click search is hitting travel brands hardest - the top-of-funnel informational content that previously drove significant traffic to destination guides and blog posts.
Queries least likely to trigger AI Overviews are transactional and commercial: "book hotel Hoi An," "tour operator Angkor Wat," "flights Phnom Penh to Bangkok." For these queries, AI Overviews appear rarely because Google recognises that the user needs to complete a transaction, not receive an information summary. Traditional OTA results, Google Hotels, and Google Flights continue to dominate these results.
The strategic implication is that tourism brands need to be present and cited in AI answers for the informational queries at the top of the funnel, where travellers are forming preferences, and retain strong traditional rankings for the transactional queries where clicks still drive bookings. These are not competing strategies - they require the same underlying content quality and technical foundations.
Redefining What Winning in Search Looks Like
For most of the past two decades, winning in SEO meant ranking in position one and maximising click-through rate. In 2026, this definition is insufficient. A tourism brand that is consistently cited as a source in Google AI Overviews for destination planning queries - even if the user does not click through - is building brand familiarity and authority that converts when the user reaches the transactional stage of their journey.
This is not entirely new behaviour in marketing. Television advertising has always worked on the principle that brand exposure builds preference that converts at a future purchase moment. AI citation works similarly: a traveller who sees "according to NJoy Consulting" in a Google AI Overview about hotel SEO is building a mental association between that brand and expertise in that category, even if they never visit the site that day.
New metrics that tourism brands should track alongside traditional rankings and traffic: AI citation frequency (how often your brand or content appears in AI-generated answers for your target queries), AI citation sentiment (how your brand is described when cited - positively, neutrally, negatively), and share of voice in AI responses versus named competitors.
How to Get Cited in AI Overviews
Research from Surfer SEO found that core sources - pages that are cited every time an AI Overview is generated for a specific topic - account for 42% of all factual content in those overviews. Becoming a core source for a specific travel topic is the goal.
The factors that determine whether a page is cited in AI Overviews align closely with traditional SEO quality signals, but with some important additions. First, traditional authority: pages in the organic top 10 for a query are significantly more likely to be cited in the AI Overview for that query. Strong traditional SEO remains the foundation. Second, factual density: pages with specific data points, named statistics, and attributable claims are cited more often than qualitative pages. A piece on hotel booking trends that includes "hotels in Siem Reap saw a 33% increase in direct bookings in 2025, according to STR Global data" is more citation-worthy than one that says "direct bookings are growing." Third, freshness: pages updated within the past three months average 6 citations in AI responses, versus 3.6 for pages not updated in over a year, according to SE Ranking research published in November 2025. Fourth, FAQ structure: question-based headings and structured FAQ sections with direct answers significantly increase citation rates.
For tourism brands, the fastest route to AI citation is publishing destination-specific content with original data or genuine first-hand insight, structured with question-based headings and direct answers, and updated at least quarterly. A hotel that publishes a seasonality guide including actual occupancy data from their own operation - "in 2025, our occupancy in Kampot averaged 45% in the Green Season versus 78% in the peak dry season" - has content that AI systems cannot find anywhere else and will therefore cite as a primary source.
Brand Visibility Without the Click
The concept of brand visibility without a click - being mentioned in AI answers that users consume without visiting your site - requires a fundamentally different approach to measuring marketing effectiveness. Traditional analytics cannot capture these impressions. But they are real and they compound over time.
For destination marketing organisations, the shift is significant. DMOs whose value has historically been measured in website visits and referral clicks are finding that AI Overviews are consuming their informational content without delivering the click-based metrics that justify their budgets. The response is to shift measurement toward share of voice in AI responses and correlation between AI visibility and eventual bookings in destination.
For individual properties and tour operators, the opportunity is smaller in scale but more directly attributable. A guesthouse in Kampot that appears by name in a Google AI Overview answer to "best guesthouses in Kampot" has received a recommendation with no marketing spend. The guest who sees that recommendation and then searches for the guesthouse name directly - a branded search - will arrive at the site with exceptionally high booking intent. Track increases in branded organic search as a proxy for AI mention impact.
Writing Content That AI Systems Can Extract
AI systems do not read pages the way humans do. They extract specific passages - self-contained, factually dense, directly responsive to a query - and synthesise them into answers. Writing for AI extraction requires a different approach than writing for human readers.
Every section of a piece of content should be able to stand alone as an answer to a specific question. If a reader - or an AI crawler - lands in the middle of your article at any heading, the text under that heading should make sense without requiring the context of the preceding sections. This self-contained structure is how AI systems identify extractable passages.
Lead each section with the direct answer before providing context. If your heading is "What is the best time to visit Kampot?" your first sentence should be the answer: "The best time to visit Kampot is November through February, during the dry season, when temperatures average 28 degrees Celsius and humidity is low." The explanation follows. AI systems extract the opening sentence of sections at significantly higher rates than sentences buried in the middle of paragraphs.
Include specific numbers wherever possible. "Most visitors find Kampot affordable" is qualitative and non-extractable. "The average daily budget for a budget traveller in Kampot in 2026 is $25 to $40 per day, including accommodation, food, and local transport" is specific, dateable, and citation-worthy. If you are a business operator with access to real data, this is your competitive advantage in the AI search era.
How to Track Your AI Search Visibility
Currently, Google Search Console does not provide direct data on AI Overview appearances. However, several proxy methods allow you to track your AI visibility without specialist tools.
First, manual testing: search for your primary target queries in Google, ChatGPT, Perplexity, and Google AI Mode. Document whether your brand or content is cited. Do this monthly for your 10 to 20 most important queries. Keep a simple spreadsheet. This takes 30 minutes per month and provides ground-level visibility into your AI citation status.
Second, branded search monitoring: track your branded search volume in Google Search Console month over month. Increases in branded searches that are not attributable to paid campaigns or press coverage may correlate with increased AI citation. This is an indirect signal but a measurable one.
Third, specialist tools: platforms including Semrush's AI Visibility tracker, Ahrefs' AI Overview monitoring, and newer GEO-specific tools are beginning to provide systematic AI citation tracking. These are worth evaluating if you are managing SEO at scale, but the manual approach is sufficient for most individual properties and tour operators.
The zero-click era requires tourism brands to shift from click-centric thinking to visibility-centric thinking. If you want help adapting your content strategy and measurement approach for AI search, get in touch.
