Radisson Reports Higher Conversion From ChatGPT Than From Organic Search

On October 7, 2026, OpenAI published a Radisson case study describing hotel discovery and comparison within ChatGPT. The case study page says Radisson worked with Accenture on a plugin for comparing hotels and travel options; it does not specify an exact launch date.

What can Radisson’s experience do?

According to the case study, the plugin lets users compare hotels and travel options within ChatGPT. The approach puts part of the discovery journey into a conversation, rather than limiting it to a traditional web search. The page does not detail every step of how to use it or the conditions for other businesses to develop an equivalent experience. So it is best understood as a specific Radisson case, not a feature any brand can automatically activate. OpenAI describes the collaboration and use of the plugin here.

For a content team, the useful takeaway is to consider what questions someone might ask before making a decision: what options are available, how they compare, and what information is needed to move forward. That reflection does not mean a conversation replaces a website, posts, or the booking process. Nor is the case an OpenAI recommendation that applies to every category.

What figures does OpenAI report, and what do they mean?

OpenAI reports that, during July and August 2026, the booking conversion rate was approximately 1.5 times that of Radisson’s organic search. It also reports that 54% of recorded checkout and booking events were attributed to ad views. That second figure is a view-through measurement: it attributes conversions to people who saw ads, not only to those who clicked. The periods, figures, and attribution description come from the case study published by OpenAI.

These metrics are specific to Radisson and are reported by OpenAI. They should not be read as a prediction for other brands or as a universal comparison between ChatGPT and organic search. Before comparing them with your own results, you would need to check which period, event, and attribution method each measurement uses. The case study does not guarantee conversions for other businesses.

What can a brand learn from this case?

A conversational discovery test starts with a specific task: helping people compare options, answer questions, or find relevant information. Then you can define what signal would show that the journey is working and how it will be measured, distinguishing interactions, visits, and bookings. There is no need to copy the hotel solution: first identify whether your customers are looking for a similar comparison and whether you can observe the full journey.

Confirmed on the case study page: the description of the plugin and the figures OpenAI attributes to Radisson. Reported by OpenAI, not verified as a general result: the relative conversion and event attribution. The article does not specify an exact launch date for the plugin. HeyMark has not yet tested this experience. To connect conversations with data from your channels, see the guide to analyzing social media with ChatGPT and real data; HeyMark lets you review messages and performance on supported social networks, not measure the plugin’s bookings.