The Moment
Ask a hotel sales team whether AI shapes how a group RFP reaches them, and most will point to the RFP tool their planner used to build the request. Few will mention what happened before that request existed. A recent Cvent Planner Sourcing Report, based on 1,650 professional planners worldwide, found that three in four now use AI somewhere in their sourcing process, and 43 percent use it specifically to find and select venues. The shortlist gets built before your sales inbox ever lights up.
That would be fine if being technically findable were the same as being chosen. It is not. HospitalityNet reports that hotels lead every travel sector in AI machine readability, at 73 percent, ahead of airlines, cruise lines, and everyone else measured. And still, that readability rarely converts into an AI system actually recommending the property. The data is there. The recommendation is not automatic.
A couple of things worth checking before your next AI-assisted RFP arrives:
- 1 Search your own property the way a planner's AI tool would, and see what comes back beyond your address and room count.
- 2 Ask your sales team whether anyone actually knows what separates a property that gets recommended from one that just gets found.
If your team has already cracked this, I would like to hear how.
Party Trends
Picture an AI sourcing tool working through a planner's shortlist the way a very literal-minded assistant would. Cory Falter, a partner at Lure Agency, described watching an AI system stumble over a property's own description of being minutes from downtown. The tool had no way to turn a phrase like that into an actual number, so it moved on. The tool wanted door widths and ceiling heights, the kind of specific, boring detail a marketing photographer would never think to caption.
Hotels have spent years getting good at telling planners how a property feels. AI does not care how a ballroom feels. It cares whether the numbers add up to what a specific group actually needs, and it will move on to the next property in about the time it takes a human to finish reading the first sentence of your welcome letter.
What would an AI system trying to shortlist your property for a 400-person group actually find on your own website right now?
Behind the Curtain
The uncomfortable part of being AI-readable but not AI-recommended is that readability is the easy half. Any property can get its address, room count, and square footage into a structured feed. What is harder to hand over is the kind of proof that actually earns a recommendation, whether a similar group had a good experience last time, and whether the sales team that answers the phone actually knows the history behind the name on the account.
That proof does not live in a structured data feed. It lives scattered across old email threads, a departed account manager's memory, and whatever a spreadsheet happened to capture before someone stopped updating it. An AI system evaluating your property against a hundred others has no way to find any of it, so it does not, and the property with the tidier public data wins the shortlist even when it is not the better fit.
Relivable exists to make that proof findable, turning a property's actual guest and event history into the kind of specific, verifiable record an AI system, or a human planner, can actually act on. Being easy to find was never going to be enough. Being worth recommending still comes down to what actually happened the last time someone stayed.
I'm the founder of Relivable, built for hotels and event venues that generate a ton of valuable information and do almost nothing with it. Every event leaves behind content, data, and insight. Our AI organizes it, finds the patterns, and makes it useful across your entire operation.
Intelligence for every event decision. → relivable.comThe Party Report
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