How to List Your Hotel on ChatGPT

OpenAI's new Businesses in ChatGPT feature lets hotels claim and manage their profiles inside ChatGPT, with analytics offering first visibility into how AI surfaces hotel information to users.

On November 10, 2026, OpenAI launched the beta version of Businesses in ChatGPT, allowing eligible companies to claim their business profiles, manage how they appear inside ChatGPT, and access data about their visibility in AI-generated answers. For hoteliers, the closest comparison is Google Business Profile. You find your property, prove that you own or represent it, correct its information, and monitor how people discover it. Simple enough. Except I suspect there’s considerably more going on here than just the launch of another business directory.

What Is Businesses in ChatGPT?

Businesses in ChatGPT is a new feature accessible through the Business Hub (https://chatgpt.com/business-hub) that allows eligible companies to claim and manage their presence on ChatGPT. Think of it as something between Google Business Profile and Bing Places, although the interface through which customers discover those businesses is fundamentally different. Claiming a profile is free, and a standard ChatGPT account is sufficient. You don’t need a paid subscription. It’s also worth clarifying that Businesses in ChatGPT is not the same thing as ChatGPT Business, OpenAI’s paid workspace product. Similar names, but different services. Once verified and approved, businesses can manage information such as their website, description, category, logo, and cover image. They can also invite colleagues or external agencies to help administer their profiles. But the feature that caught my attention wasn’t profile editing. It was the analytics.

For the First Time, We Can See How ChatGPT Talks About Our Businesses

Business Hub introduces a dashboard that reports three particularly interesting metrics over a rolling 28-day period:

  • Mentions: how often ChatGPT references your website in its answers.

  • Clicks: how often users click through to your website from ChatGPT.

  • Discovery topics: the themes and subjects associated with answers mentioning your business.

For hospitality marketers, that last metric is potentially the most revealing. Does ChatGPT associate your hotel with romantic weekends? Family holidays? Wellness retreats? Business travel? Luxury experiences? And, perhaps more importantly, are those the associations you actually want?

There are limitations, of course. Insights are aggregated, reporting thresholds apply, and businesses cannot access individual user conversations or prompts. There is no data export functionality yet. Nevertheless, it’s an interesting first step toward measuring a form of visibility that traditional search analytics weren’t designed to capture.

I Tried It. Here’s What Happened.

I registered on launch day. I searched for Travel Singularity, my consultancy, found its business profile, and successfully completed the claiming and verification process: https://chatgpt.com/business-hub/bizprof_a2a7e316a4dc81a2a85523c52709aa60/ 

The experience wasn’t particularly complicated, although it involved several verification steps.

One interesting detail: during registration, I was offered $500 in ChatGPT Ads credits. It’s an indication of how OpenAI is connecting business identity with its emerging advertising ecosystem, although I wouldn’t assume the same offer is available to every business or in every market.

Then I tried something more relevant to my day-to-day work: I searched for several hotels. But none of them was eligible for claiming.

This is an important distinction between what OpenAI has announced and what hoteliers can actually do today. The platform is still in beta, and eligibility depends on geography, business category, and verification requirements. OpenAI currently distinguishes between online businesses and local establishments, with particularly limited availability for the latter outside the United States. Hotels, naturally, don’t fit neatly into either category. They are physical establishments selling products through digital channels. Based on my initial tests, hotel access remains limited. The good news is that you can already join the waitlist. And that’s precisely what I recommend doing, rather than waiting for a broader rollout before familiarising yourself with the platform.

How to Claim Your Hotel on ChatGPT: Step by Step

The procedure is relatively straightforward, but it involves more than simply entering your hotel’s name and uploading a logo. In some cases, you’ll need assistance from whoever manages your domain, your company’s legal documentation, or both.

Before Starting

I’d prepare four things.

  1. An account controlled by the hotel. Whoever claims the business becomes its administrator and can subsequently invite colleagues or agencies. Avoid claiming a property through the personal account of an external consultant. Ownership should remain with the business.

  2. Access to a verification method. Depending on which options OpenAI offers your business, you may need access to the company telephone number, an email address on its domain, or the DNS settings for its website.

  3. Official documentation. Business registration details, proof of authorisation, and personal identification may be required during the process. Make sure the legal information is accurate and consistent.

  4. Reliable business information. Before entering anything, compare your hotel’s name, address, website, category, and description across its official website, Google Business Profile, and major distribution platforms.

Inconsistencies are worth correcting before introducing yet another source into the ecosystem.

Step 1. Find your property

Visit chatgpt.com/business-hub, sign in, and search for your hotel. If the listing is available to claim, select it and begin the process. If it isn’t, register your interest through the waitlist. There is no reason to make technical changes to your website before you receive access.

Step 2. Confirm the business information

Review the details associated with the property and identify the account that will administer it. You’ll also need to accept OpenAI’s applicable business terms. This is not a formality to delegate casually to an external agency. Make sure whoever accepts the terms is authorised to represent the property or its operating company.

Step 3. Verify your connection to the business

Depending on eligibility and the options presented, OpenAI may offer verification through telephone, email, or DNS. Telephone and email verification typically involve receiving a code and entering it. DNS verification is slightly more technical.

You’ll be asked to add a TXT record to the DNS configuration of your domain. In practical terms, this means copying the record supplied by OpenAI into the domain’s DNS settings, waiting for it to propagate, and then completing verification. For most hotels, this requires coordination with the web agency, IT department, hosting provider, or whoever manages the domain. It doesn’t necessarily involve much work, but it isn’t always instantaneous. Importantly, don’t modify your DNS settings until OpenAI explicitly provides the record and instructions.

Step 4. Complete the identity checks

OpenAI may require additional review and identity verification through Persona. These are separate steps. Submitting your documents or successfully verifying a domain does not automatically mean your claim has been approved. Until the relevant checks are complete, profile editing, insights, and other features may remain unavailable.

Step 5. Update the profile

Once your claim is approved, you can begin updating the information shown in your business profile. This may include your website, business description, category, logo, cover photograph, and other details. Keep your description concise. Around 280 characters is a sensible target to avoid truncation. Changes may also require review before publication, so don’t expect every update to appear immediately.

Step 6. Invite your team

Once the profile is operational, the administrator can invite colleagues or external partners. My recommendation is to keep ownership with the hotel and assign operational access to whoever manages digital marketing, distribution, or communications. For hotel groups, remember that claiming a corporate brand doesn’t automatically mean claiming every property. Each establishment may require its own process.

What Can Go Wrong?

Quite a few things, particularly in a beta.

  1. Verification can take longer than expected. DNS records may need time to propagate. Legal documents may not match the company information associated with a listing. A property may already have been claimed by someone else.

  2. If ownership is disputed, OpenAI has a dispute procedure that may involve additional identity checks.

  3. You may also find that your insights dashboard contains very little information. This doesn’t necessarily mean your hotel has never appeared in ChatGPT. Reporting thresholds can prevent low-volume data from being displayed.

  4. And if you manage a collection of properties, don’t expect the sort of centralised, multi-property administration available in established hospitality distribution systems. We’re not there yet.

  5. Finally, you may encounter advertising offers or subscription upgrades during onboarding. These are separate from the free claiming process. The beta is operational, but it’s still a beta.

One Very Important Clarification: Verification Does Not Improve Your Ranking

This is probably the most important point in the entire announcement. OpenAI explicitly states:

Claiming a profile or disputing ownership doesn’t change its visibility in ChatGPT.

Verification is NOT a ranking factor. Claiming your hotel doesn’t guarantee that ChatGPT will recommend it more frequently, place it above competitors, or prefer its official website over an OTA listing. Nor does it mean that OpenAI will rely exclusively on the information you submit. The assistant may continue gathering information from other sources, including third-party websites, review platforms, and distribution partners. This is why I would be extremely cautious about anyone selling ChatGPT business verification as an automatic visibility or ranking solution, because it isn’t. At least not according to OpenAI’s current documentation.

So why claim your property? Because ChatGPT can already describe, compare, and recommend your hotel regardless of whether you’ve verified it. Claiming your profile gives you an additional way to maintain accurate information and, perhaps more importantly, access to first-party measurement. Those are useful capabilities in their own right.

Two Features That Matter Even More Than Business Profiles

For me, the most interesting part of this announcement isn’t necessarily what’s available today, but what surrounds it.

Two features deserve particular attention.

1. Business Agents

OpenAI is introducing the possibility of creating AI agents associated with the profiles of eligible businesses. The idea is simple: a user discovers a company through ChatGPT, opens its business profile, and starts a dedicated conversation with that company’s agent. These conversations are explicitly identified and separated from ChatGPT’s independent answers. Businesses may also be able to sponsor their agents, effectively turning them into interactive destinations for advertising traffic.

Imagine the hospitality equivalent: instead of clicking on a hotel advertisement and navigating through a website, a potential guest could start a conversation with the property’s own AI agent. They might ask whether the hotel accepts pets, whether two connecting rooms are available, which spa treatments are included in a package, or whether a particular rate offers flexible cancellation. The agent could theoretically guide the conversation toward a booking. For now, Business Agents are restricted to eligible businesses in supported categories and markets, notably US e-commerce and online services. Hotels cannot assume access, but it’s not difficult to see why the concept matters for our industry.

2. Product feeds

The second development is product feeds. Verified businesses can use supported integrations to submit structured product information, including prices and availability. Shopify merchants already have a catalogue integration. For hotels, the equivalent data structure is something we’ve been working with for decades: availability, rates, and inventory (ARI). And this is where things become particularly interesting. Imagine your CRS or booking engine sending live inventory to an AI assistant as routinely as it sends rates to Google Hotel Ads. The assistant wouldn’t need to rely on static content or third-party descriptions to explain whether a hotel is available on specific dates, at what price, and under what conditions. It could retrieve structured, current information directly from the distribution ecosystem. That standardised connection between Business Hub product feeds and hotel booking engines isn’t widely available today, but the underlying concept is familiar. And when you combine it with everything else OpenAI has launched, the strategic implications become considerably larger.

Is ChatGPT Becoming a Metasearch Engine?

I think this is the question hoteliers should be asking. Consider what has happened over the past twelve months. Direct booking has a new entry point; AI advertising has arrived, and AI-referred traffic is becoming measurable. And now OpenAI has added something that was missing: a mechanism for businesses to claim their identity and begin measuring their visibility.

There’s another development that makes this comparison particularly relevant. In March 2026, OpenAI reportedly scaled back its ambitions for native hotel checkout, favouring transactions through partner applications instead. The practical challenges are familiar to anyone who has worked in hotel distribution: constantly changing rates, complicated cancellation conditions, payment requirements, inventory synchronisation, and post-booking service. In other words, the difficult part isn’t recommending a hotel; it’s fulfilling the reservation. Traditional metasearch companies solved that problem by separating discovery and comparison from the transaction itself. They don’t necessarily need to own the booking, but they do need to influence where the customer books, and that’s precisely the model ChatGPT could evolve toward.

Except This Wouldn’t Be Metasearch as We Know It

If ChatGPT becomes a meaningful metasearch channel, I don’t expect it to resemble trivago with a conversational interface. I see at least three fundamental differences.

First, the interface changes the economics of visibility. Traditional metasearch generally presents multiple hotels, suppliers, or rates in a comparative interface. A conversational assistant can compress that choice into a much smaller shortlist. A traveller might ask:

“Find me a quiet boutique hotel in Rome, preferably near the historic centre, with a good restaurant and a budget of €400 per night.”

Rather than returning dozens of listings, ChatGPT might recommend three properties, accompanied by explanations of why each one fits. The result isn’t necessarily a ranked list in the traditional sense, but a contextual recommendation. And when the visible shortlist becomes smaller, the consequences of being excluded may become greater. The competitive challenge changes from occupying a position on a results page to becoming part of the assistant’s proposed set of choices.

Second, discovery happens before price comparison This, to me, is the fundamental difference. Traditional hotel metasearch has historically been strongest once the traveller already knows which property they’re considering. The question is often: 

“Where can I book this hotel at the best price?”

Conversational discovery can start much earlier. The traveller may not know which hotel to choose, which neighbourhood to stay in, or even which destination best suits the trip. The assistant participates in forming those preferences. It can interpret constraints, compare alternatives, ask questions, and recommend a particular property before the traveller ever reaches a conventional rate-comparison interface. In traditional metasearch, price often helps determine the booking channel. In conversational discovery, context can determine which hotel enters consideration in the first place. That’s why the discovery topics metric is potentially so interesting. It offers an early, admittedly incomplete, window into the contexts in which an AI system associates your property with a traveller’s needs. And those associations may eventually become as strategically important as conventional keyword visibility.

Third, trust becomes part of the distribution model. OpenAI is making a deliberate distinction between independent assistant answers and paid or business-controlled experiences. Sponsored content is identified separately. Business Agent conversations are distinguished from the primary ChatGPT interaction. That distinction matters. If users begin to perceive conversational recommendations as simply another advertising auction, some of the value of the interface could disappear. The challenge for OpenAI will be monetising commercial intent without undermining confidence in its recommendations.

For hotels, this creates two parallel considerations.

  1. One is paid visibility: understanding how advertising and sponsored interactions work, what they cost, and whether they generate incremental business.

  2. The other is organic relevance: making sure the property’s positioning, content, reputation, and factual information are sufficiently clear and consistent for an assistant to understand what it offers.

Neither guarantees recommendation, but both deserve attention.

The Scenario I’m Watching

Here’s what I would consider a genuine inflexion point. Imagine three developments occurring together. First, CRS providers, channel managers, and booking engines begin supplying standardised ARI data to ChatGPT, reducing dependence on intermediary applications for live hotel rates. Second, Business Agents become available to hotels internationally, allowing properties to operate their own conversational environments directly within ChatGPT. Third, Business Hub evolves beyond mentions and clicks to include meaningful booking attribution. At that point, we’d have most of the functional architecture of metasearch within a conversational interface. The difference would be that the assistant helps determine which property the traveller should consider before comparing where to book it. And we’d arrive at a rather uncomfortable question for independent hotels: When someone asks ChatGPT to book your property, who gets to own the commercial relationship? You? Your booking engine? Or the OTA that has the inventory, the integration, and the advertising budget? Because appearing in an AI-generated recommendation doesn’t automatically mean the resulting reservation will be direct. We’ve already learned that lesson through traditional search, and I’d rather not spend another decade learning it again.

What This Means for Hotels

I see six immediate implications.

  1. Data consistency becomes a conditio sine qua non. Your website, business profiles, review platforms, and distribution listings need to describe the same property. Conflicting names, amenities, addresses, or descriptions create unnecessary ambiguity. Verification adds another profile to maintain, not a magical replacement for existing information sources.

  2. Direct distribution needs a conversational strategy. OTAs already possess enormous inventories, sophisticated connectivity, established applications, and significant advertising resources. Independent hotels need to understand how their own booking technology intends to participate in this environment.

  3. Measurement needs to evolve. Mentions, clicks, and discovery topics don’t replace revenue, conversion rate, or cost of acquisition. But they could become useful leading indicators of conversational visibility. They should eventually sit alongside organic search, paid search, and metasearch reporting rather than being isolated in an innovation presentation.

  4. Technology vendors need to answer new questions. If you operate a booking engine, CRS, or channel manager, the question is no longer simply whether you integrate with Google’s ecosystem. It’s whether you have a credible strategy for conversational discovery, structured inventory distribution, and agent-mediated booking journeys.

  5. Governance matters. Claiming profiles, managing DNS records, completing identity checks, and accepting business terms require clear responsibilities. In hotel groups, ownership and operating structures can make this more complicated than it first appears.

  6. Advertising budgets may shift, but evidence should lead the decision. ChatGPT Ads offer another experimental channel. That doesn’t mean reallocating metasearch budgets indiscriminately. It means measuring incremental demand, cost, conversion, and attribution before changing the mix.

Conclusion: The New Metasearch May Not Look Like Metasearch

To be clear, I don’t know whether ChatGPT will become a major hotel metasearch channel. Neither does anyone else. The current product is incomplete, hotels face eligibility restrictions, verified profiles don’t influence organic ranking, and we have very little evidence about the eventual effect on direct booking performance. It’s entirely possible that conversational distribution will develop in a different direction. But I’m increasingly convinced that looking at these developments individually misses the point. Business profiles, travel applications, live prices, advertising, business agents, product feeds, and measurement are not necessarily isolated features. Together, they could constitute the foundations of a different distribution architecture. And perhaps the most significant change isn’t technological at all. For the past two decades, hospitality distribution has been organised around the assumption that people search for hotels, compare options, select one, and complete a reservation. Conversational AI challenges the sequence. People can now describe an intention, negotiate their preferences with an assistant, receive a recommendation, and potentially move toward a transaction without ever engaging with the traditional search-results interface. That doesn’t eliminate OTAs, booking engines, or, for that matter, hotel websites. But it changes where the decision begins.

And that’s not just an afterthought.

Is it?

AI in Hospitality Technology Sales & Marketing Artificial Intelligence Direct Booking Guest Experience Digital Marketing

Simone Puorto is a techno-philosopher, consultant with over 25 years of international experience, and the prolific author of five best-selling books exploring the intersection of technology and the travel industry.

Founded in 1995 in Maastricht, the Netherlands, Hospitality Net is the #1 B2B portal for global hotel professionals and one of the longest-running independent hospitality B2B publications in the world. Hospitality Net acts as a neutral broker and publisher of hotel business information, built on a membership model for all stakeholders in the global hotel industry.

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