Here are a few of the stories that caught our attention over the week with some of our takeaways.
Story 1
ChatGPT Enters the Ad Market – and It’s Coming for Google’s Budget
Search Engine Land and The AI Studio report that OpenAI has quietly shifted ChatGPT’s advertising model from impression-based buying to a cost-per-click (CPC) framework, setting rates at $3–$5 per click. There was no formal announcement. One day it changed. And that should tell you something about how confident OpenAI is feeling right now.
This is more than a pricing update. It’s a direct challenge to Google and Meta for performance advertising budgets. The previous model required a $200,000 minimum spend – the kind of barrier that kept it firmly in the territory of holding company accounts and global brands. The new self-serve entry point starts at $2,000 per month, which opens the door to a much wider pool of advertisers.
What the Numbers Actually Say
The click-through rate currently sits at 0.91%, well below Google Search’s 6.4%. That looks weak on paper. But the conversion rate tells a different story – ChatGPT traffic converts at 1.5x the rate of comparable channels. The explanation is straightforward: users engaging with ads inside ChatGPT are typically mid-task. They’re already solving a problem or making a decision. That’s a fundamentally different audience posture to someone scrolling a results page.
The ad formats themselves – sponsored recommendation cards, companion display ads, and native content units – appear at the bottom of AI responses. The matching system uses the current conversation topic rather than behavioural tracking or cookies. For advertisers nervous about privacy regulation, that’s a meaningful distinction.
Who This Works For (and Who It Doesn’t)
The platform currently skews national and online, which means local service businesses face a structural disadvantage. A plumber in Leeds won’t get much from a system that defaults to national audience targeting. Similarly, low-margin products may struggle to justify a $5 CPC.
For SaaS, professional services, and higher-value e-commerce, the maths look more interesting. The sample projection in the source material shows a $17 cost per acquisition on a $100 spend – viable territory if your average order value sits above $200.
One limitation worth flagging: ads are currently only served to free-tier users. Anyone on ChatGPT Plus or Pro sees no advertising. That caps the addressable audience, at least for now.
The Attribution Problem
The honest challenge with ChatGPT advertising is attribution. A user might research on Monday via ChatGPT and convert on Wednesday through a direct link. Last-click attribution misses the assist entirely. Multi-touch measurement, self-reported survey data, and monitoring conversion rate lifts during active campaign periods are the practical workarounds at this stage.
For hotel marketers, this is still an early-stage channel. But the intent signal is genuinely interesting – a traveller asking ChatGPT to compare city-centre hotels in Barcelona is about as qualified a prospect as you’ll find. Whether the targeting infrastructure catches up with that opportunity is the question to watch.
Story 2
The Hotel RFP Is Getting an AI Overhaul – Here’s What Could Go Wrong
Business Travel News reports that corporate travel’s most laborious annual exercise – the hotel Request for Proposal process – is being reshaped by AI, with some providers targeting a reduction in sourcing cycles from 167 days to just 17. The potential efficiency gains are significant. The risks, however, deserve equal attention.
The traditional RFP process is a monument to manual effort. Travel managers describe it as “countless late nights and early mornings” coordinating across time zones, scoring suppliers from sprawling spreadsheets, and sifting through paragraphs of filler in bid responses. For pharmaceutical companies like MSD (Merck & Co.), a global TMC bid can run for 24 months. Hotel RFPs, unlike air contracts, tend to recur annually across thousands of properties – making them one of the most resource-intensive exercises in corporate travel procurement.
Where AI Is Being Deployed
Adoption remains relatively limited. Only 21% of travel buyers are currently using AI for sourcing and procurement. Those who have adopted it, though, rate its effectiveness at 4.05 out of 5 – which is a meaningful endorsement from a professionally sceptical audience.
On the buyer side, AI is functioning as an on-demand analyst: reviewing contracts for gaps, matching supplier volumes to actual travel patterns, modelling multiple bid scenarios, and drafting RFP documentation. Some travel managers are cross-referencing outputs across two separate enterprise LLMs to verify accuracy before acting on the results.
Suppliers are using it differently. TMCs like FCM are applying AI to standardise and quality-check their proposal responses. Platforms like Gazzebo are using buyer behaviour data and SWOT analysis to match buyers with verified TMC partners. HRS is running AI behind the scenes for demand analysis and rate auditing.
The Risks That Cannot Be Glossed Over
A mis-priced hotel bid caused by an AI hallucination isn’t a creative error you can laugh off – it’s a potential $100,000 problem. That’s the nature of applying AI to high-stakes commercial negotiations, and the source material is appropriately direct about it.
Data security is a second concern. Public LLMs present a genuine risk of leaking confidential pricing. At least one supplier has reported that private rate information shared during a bid conversation subsequently appeared in public AI training data. Organisations like MSD have responded by building gated internal LLM platforms (“GPTeal”) specifically to prevent that exposure.
There’s also a subtler risk: if both sides of a negotiation are using AI to generate and review proposals, the communication can become homogenised. The personal relationships that underpin service delivery in corporate travel don’t survive being templated into irrelevance.
What Comes Next
The industry is moving towards agentic AI – systems capable of managing the full RFP lifecycle autonomously, from initial sourcing through to contract implementation and stabilisation. The practical effect of this shift is that human travel managers move away from administrative process and towards the work that actually requires judgement: decision-making and aggressive price negotiation.
For hotels participating in corporate RFPs, the compression of sourcing timelines has direct commercial implications. Faster cycles mean less time to build relationships, less opportunity to differentiate on service, and greater pressure to lead with rate. The hotels that will navigate this well are the ones investing now in clean, structured data and consistent rate integrity – because AI-driven buyers will expose inconsistencies quickly.
Story 3
Your Hotel Is Already on TikTok’s Metasearch. Did You Know That?
Hospitalitynet reports that TikTok is beta-testing hotel metasearch cards directly within its For You Page, marking a significant step in the platform’s evolution from travel inspiration tool to active booking channel. With 170 million US users in 2025 and a proven track record of driving commerce through TikTok Shop, the platform is now routing users from content discovery to rate comparison without requiring them to leave the app.
The mechanic is straightforward. A hotel metasearch card appears in the feed displaying a property photo, name, and real-time rates sourced from OTA partners including Expedia, Booking.com, and Trip.com. The user has three options: view the listing on an OTA, explore further within the TikTok app, or dismiss the card. That last option feeds back into TikTok’s algorithm to refine targeting.
The Numbers Behind the Platform
66% of users describe TikTok as their most useful source of travel inspiration. Users are 2.6 times more likely to book an experience after searching for it specifically within the app. 84% of users watch travel content at least once a month. These aren’t passive engagement metrics – they describe an audience that moves from content to commercial intent quickly.
In-app hotel listings aggregate data from Point of Interest providers, Tripadvisor reviews, OTA rate feeds, and TikTok’s own user-generated content. The listing pages are structured around rooms, highlights, amenities, and nearby transport links. It is, in other words, a functioning hotel distribution surface – one that most hotel operators haven’t actively managed.
The Control Problem
That last point matters. Because TikTok pulls property data from upstream providers, hotels may already have a listing on the platform without having created a TikTok business account. There is currently no mechanism for operators to respond to reviews within the TikTok listing interface. Hotels are, in effect, being distributed without direct oversight of how they’re presented.
The source material draws a useful distinction between TikTok’s role and the primary data sources that AI and search engines continue to prioritise. Hotel websites and Google Business Profile remain the authoritative inputs for Generative Engine Optimisation. TikTok functions as a secondary signal – valuable for sentiment, lifestyle context, and brand visibility, but not a replacement for structured primary data.
What Hotel Operators Should Do Now
The practical implication is a two-track response. First, make sure the primary data is clean – hotel website content, Google Business Profile, and rate parity are the inputs that feed the systems travellers increasingly rely on for discovery. Second, treat TikTok as a brand channel that is already live, whether you’re actively managing it or not. The 31% increase in brand loyalty attributed to TikTok advertising suggests the platform has real commercial weight, even before metasearch matures.
The distribution landscape is not waiting for hotels to catch up. TikTok entering metasearch is the latest example of a channel arriving as a finished product rather than a test. The question for operators is how long they can afford to treat it as optional.
Story 4
When Uber and Google Become Your Distribution Partners, Who Owns the Guest?
Hotel News Resource reports on the accelerating global expansion of platform-driven hotel distribution – a model that moves accommodation from a primary product to a piece of inventory inside a broader digital ecosystem. Originally developed and perfected in the Chinese market, this approach is now showing up, in various forms, across Southeast Asia and the Western markets that have historically been dominated by OTAs and direct booking channels.
The defining characteristic of platform-driven distribution is that the booking sits inside a wider lifestyle environment rather than a standalone transaction. In China, platforms like Meituan and Fliggy handle travel as one component of a fully integrated digital experience that also covers payments, food delivery, and local services. The hotel is not the product – the platform experience is.
What This Looks Like in Practice
In Southeast Asia, super apps like Grab and Gojek have followed a similar path, layering travel booking onto their core transport and payments infrastructure. The commercial logic is compelling: users who are already in the app for their daily commute or lunch order don’t need to be acquired again as travel customers.
Western markets are further behind, but the directional signals are clear. Uber and Airbnb are expanding beyond their original service categories. Google Travel is increasingly shaping discovery through its control of traffic and data. Mobile operating systems influence where users go before they ever reach a booking site. These are not OTAs competing on price – they are platforms competing for control of the entire customer journey.
The Commercial Implications for Hotels
The model creates a genuine tension for hotel operators. On one side, integration with platforms that are embedded in daily behaviour offers access to high-frequency demand that traditional booking channels cannot match. On the other, visibility within these ecosystems is governed by platform algorithms and data logic rather than brand positioning or marketing investment.
In practice, this means a hotel’s ability to differentiate on brand identity during the discovery and booking phases is progressively reduced. Pricing and property comparison are framed by the platform interface. The customer relationship begins with the platform, not the hotel.
The source material describes this as a “dual dynamic” – simultaneous access and dependency. That framing is accurate. Hotels that dismiss platform distribution as a threat to be managed defensively will find themselves with declining visibility. Those that engage with it strategically while investing in the direct relationship post-booking are better positioned.
The Distribution Reality
Revenue managers and commercial directors watching this shift should be thinking about two things. First, where is their property being discovered – and do they have any meaningful influence over how it appears in those environments? Second, what does the post-booking relationship look like, and is the data infrastructure in place to build on it?
The platform model is not arriving – it is already the dominant structure in significant markets and the clear trajectory in others. Hospitality’s response will define who controls demand, and who simply fulfils it.
Story 5
Booking.com’s Latest Research Reveals Gen Z Talks Sustainability – Boomers Actually Do It
Booking.com’s 11th annual Travel and Sustainability Report – drawing on responses from 32,500 travellers across 35 markets – surfaces a finding that runs counter to most assumptions about generational attitudes: younger travellers express stronger intentions to travel sustainably, but older travellers follow through more consistently. Boomers outperform Gen Z on nearly every practical sustainability metric.
75% of Gen Z intend to travel more sustainably in the next 12 months. That figure drops to 71% for Millennials, 60% for Gen X, and 47% for Boomers. So far, so predictable. But when the report measures concrete actions rather than stated intentions, the picture inverts. 67% of Boomers plan to reduce general waste, compared to 48% of Gen Z. 63% of Boomers plan to travel outside peak season; only 36% of Gen Z say the same.
Where Younger Travellers Lead
The generational reversal doesn’t hold across every category. Gen Z and Millennials are more likely to engage in cultural immersion and conservation activities. 31% of Gen Z participated in learning about indigenous cultures during recent travel, against 18% of Boomers. 24% of Gen Z engaged in wildlife conservation activities, compared to 9% of Boomers. The gap here is about what younger travellers consider sustainability to mean – it’s broader and more socially oriented than the resource-reduction behaviours where Boomers lead.
Climate Risk Is Now a Booking Factor for Everyone
Beyond the generational analysis, the report identifies two trends that cut across all age groups. The first is active weather risk assessment: 74% of travellers now factor extreme weather into destination and timing decisions. 68% actively avoid destinations with a known risk profile. 31% cancelled or changed travel plans in the last 12 months as a direct result of extreme weather or natural disasters.
For accommodation partners, the operational dimension is significant. 24% of surveyed properties reported disruptions due to extreme weather in 2025, and 40% adjusted their operations in response to climate-related risks. That’s not a marginal concern – it’s mainstream operational planning.
Off-Peak Is Becoming the Default Preference
The second universal trend is a deliberate move away from peak-season travel. 43% of travellers plan to avoid overcrowded destinations – an 11-percentage-point increase year-on-year. 44% of that group cite overtourism specifically as the reason. 42% plan to travel outside peak season to reduce pressure on destinations.
For revenue managers, this is commercially interesting. The structural assumption that demand concentrates at peak has defined pricing and inventory strategies for decades. If nearly half of all travellers are actively seeking to avoid those windows, the shoulder and off-peak periods carry more demand potential than the historical pattern suggests. The question is whether pricing strategies and rate loading reflect that shift, or whether they’re still built around a demand curve that is changing underneath them.
What Travellers Actually Need to Act
The gap between intention and action has a clear explanation in the data. 42% of travellers say finding sustainable options takes too much time and effort. 38% find them too expensive. 37% don’t trust that “sustainable” labels are accurate. The barriers are practical and perceptual, not ideological.
47% want discounts and financial incentives. 45% want budgeting guidance. 41% want clear, transparent communication when an option is genuinely more sustainable. For hotels that have invested in third-party sustainability certification – 28,000 properties on Booking.com now carry one, up 22% year-on-year – the challenge is making those credentials visible and credible at the point of booking, not buried in a tab that guests rarely open.