A hotel marketing leader asks a fair question this year: if you're researching trips through ChatGPT, Gemini, and AI Overviews, does paid search still matter? The honest answer is not a binary. Paid media has not been replaced by AI discovery, and it has not been rendered obsolete either. It has been repositioned. Understanding exactly where it sits, and where its evidence runs out, is now a core commercial skill for hotel leaders.
The false binary
The instinct to frame this as "AI versus paid" misreads how the two interact. Google has begun serving ads inside AI Overviews, and text and shopping ads from existing search, shopping and Performance Max campaigns are currently eligible to show within AI Overviews. But it is narrower than the marketing language around it suggests. AI Overviews trigger on complex, answer-seeking queries, and advertisers are less likely to be targeting such keywords, and ads can only trigger on a subset of AI Overview queries when certain conditions are met, including detected commercial intent and available quality ads. This is eligibility, not guaranteed placement, and it is not the same thing as an organic AI recommendation.
That distinction matters for a hotel deciding how to read its own performance. An ad appearing near an AI Overview reflects auction dynamics and existing campaign eligibility, not a signal that the AI model considers the hotel a credible answer to a traveler's question. Those are two different systems, judged by two different sets of rules.
How conversational discovery changes the funnel
Google's April 2026 expansion of AI Max into travel, branded Search Campaigns for Travel, folds hotel, flight, and travel-specific ad formats into its AI-powered search environment. The aim is to match travel ads to conversational queries rather than fixed keywords, with hotel ads, property promotions, and booking links brought into a system designed to match ads to conversational queries, not just keywords. Coverage of the rollout notes that travel ad formats appear eligible to show inside AI Overviews and AI Mode, where Google is answering travel queries directly on the results page.
This is a live product direction, not a finished capability with mature reporting. Reporting on the launch describes it as a product teaser rather than a full technical launch document, with fuller implementation details expected at Google Marketing Live, and notes that AI Max for Shopping and Travel campaigns are rolling out as closed betas globally. Microsoft has moved in a parallel direction with generative-AI-driven ad matching in conversational surfaces. Hotel marketing leaders should treat both as evolving infrastructure worth testing, not as settled channels with proven return.
What paid can and cannot do
Paid media's job has not changed at its core: it creates and captures demand at moments of intent. What has changed is the environment those ads sit inside. Three limits are worth stating plainly, because vendors selling AI visibility services routinely blur them.
Paid does not buy an organic AI citation. No primary source claims that running ads improves a hotel's likelihood of being recommended in an unpaid AI Overview, ChatGPT answer, or AI Mode response. Ad eligibility and organic citation are separate systems governed by separate logic.
AI Overview ad placements are not yet independently reportable. Google describes ads in AI Overviews as an extension of existing Search, Shopping, and Performance Max campaigns rather than a standalone, separately measurable placement. Marketing analysis of the rollout confirms that Google doesn't offer specific AI Overview reporting yet, which means you cannot currently isolate how much of your paid performance is coming from an AI surface versus a traditional result.
Last-click attribution does not prove incrementality. A booking that follows a paid click may have happened anyway through direct or organic channels. This has always been true; AI-mediated discovery makes it more pronounced, because your research path now often includes multiple AI tools, social platforms, and metasearch comparisons before a single trackable click occurs.
Where trust, not just visibility, decides the booking
Expedia Group's research gives hotel leaders a useful reality check on where AI actually sits in the journey. Its 2026 AI Trust Gap study found that only 8% of travelers in the U.S. and U.K. currently rely on AI chatbots and agents when planning a trip, while 68% prefer to book with a trusted travel brand over AI chatbots and agents, even when AI booking is available, and 66% say they would not trust an AI assistant to buy or book anything on their behalf. The company's framing is direct: AI is reshaping discovery, but trust, not technology, is the deciding factor in where you transact.
AI visibility earns a hotel a place in your research. It does not, by itself, close the booking.
Paid media, direct site experience, and reputation signals like reviews still do the work of converting interest into a completed reservation. Separately, Expedia's 2025 Traveler Value Index found that three-quarters of travelers are willing to pay more for lodging with better reviews, a reminder that evidence of quality, not just presence in an AI answer, still drives booking intent.
A decision framework for hotel marketing leaders
Given these limits, a hotel marketing leader needs a way to allocate budget and judge results without collapsing everything into one unsupported causal story. Four questions are more useful than a single dashboard metric.
Where is the traveler in their journey? Map spend to moments: paid search and metasearch capture travelers who already have booking intent and are comparing rates; paid social and AI-eligible ad placements reach you earlier, during discovery and inspiration; organic and AI-answer visibility work continuously in the background, shaping whether the hotel is even part of your consideration set.
What can actually be measured right now? Track leading indicators, such as branded search volume, direct site traffic, and referral patterns from AI tools where server logs allow it, separately from verified commercial outcomes like completed bookings. Do not treat the first as proof of the second.
Is the hotel testing incrementality, not just clicks? Structured geo-holdout tests, brand lift studies, and marketing mix modeling remain the credible ways to estimate what paid spend actually adds, because they compare outcomes against a control rather than crediting the last click before conversion.
Is the budget resilient to platform change? Because AI Max for Travel and similar products are still in beta with limited reporting, treat any budget shifted toward AI-eligible placements as an experiment with a defined test period and success criteria, not a permanent reallocation.
Where Nuno fits
Nuno's work is AI visibility: making sure a hotel's story, facts, and distinctive character are legible to the AI systems now mediating discovery, and giving hotel marketing leaders evidence of how that visibility is changing. Nuno does not manage paid search or paid social campaigns. Nothing here should be read as a media-buying capability; it is a lens for making informed decisions about where an independent hotel's marketing investment belongs as the discovery layer keeps evolving. The two disciplines, paid media and AI visibility, work on different parts of the same journey, and both need honest measurement to be worth the spend.
