How Meeting Planners Are Using AI to Source Venues

Most hotel sales teams think they’re simply competing against the property across town.

They’re not.

They’re competing against speed, specificity, and whether AI can understand what makes their hotel worth considering in the first place.

And right now?
Most hotels are losing without even realizing they’re in the game.

The biggest shift happening in hospitality sales isn’t about better CRMs, prettier proposals, or more outbound prospecting.

It’s this:

Meeting planners are building their venue shortlist with AI before a salesperson ever gets involved.

No introduction.
No site visit.
No “just wanted to follow up” email.

The filtering process is already happening upstream, quietly and algorithmically.

And if your hotel isn’t digitally legible to the tools doing the sorting, you don’t get rejected.

You simply never appear.

That reality became clear during a recent conversation I had on the InnSync Show with David Moore, founder of Moore Style Events, a planning firm specializing in biotech and tech events.

What he described should fundamentally change how hotel sales teams think about visibility.

Because planners aren’t sourcing venues the way they used to.

Not even close.

The Old Sourcing Process Is Dead

For years, venue sourcing looked like digital scavenger hunting.

Open ten browser tabs.
Cross-reference Cvent.
Jump between maps.
Read vague ballroom descriptions.
Call hotels to clarify basic operational questions that should’ve been online already.

It was slow. Frustrating. Manual.

Now?

A planner can feed AI a list of highly specific event criteria and generate viable options in minutes.

Not days ... minutes.

Moore gave one example that perfectly captures the problem.

His biotech clients often need to physically drive equipment into event space.

Sounds simple.

Except most hotels don’t clearly explain:

• load-in access

• elevator dimensions

• ballroom entry width

• dock accessibility

• ceiling clearance

And traditional sourcing platforms don’t filter for that level of operational detail.

AI does.

Or more accurately, AI surfaces the hotels that bothered to publish the information in the first place.

That’s the shift hospitality sales teams need to understand.

The properties winning attention aren’t necessarily the best properties.

They’re the clearest.

“Three Miles Away” Means Nothing Anymore

Hospitality marketing has a bad habit of speaking in approximations.

“Close to the convention center.”

“Minutes from downtown.”

“Conveniently located.”

According to who?

David shared a scenario where his team needed:

• a private dining room

• for 50 people

• open late

• near the hotel

• in a walkable area

• after a conference dinner

Ten years ago, that meant an hour of Google Maps and guesswork.

Now AI evaluates proximity, walkability, transportation patterns, neighborhood context, and logistics almost instantly.

That’s important because AI doesn’t interpret marketing language emotionally.

It interprets it literally.

And vague content gets punished.

If your hotel website says “spacious ballroom,” but never lists dimensions, capacities, or technical specs, AI has nothing useful to work with.

Which means your competitor with the detailed floor plan online gets shortlisted instead.

Not because they’re better.

Because they’re findable.

The Real Sales Funnel Starts Before Sales Exists

This is the part most hotel teams still don’t fully grasp.

The shortlist is no longer being built during the RFP process.

It’s being built before the RFP process starts.

By the time a planner reaches out, they’ve often already:

• run your property through AI

• reviewed your online reputation

• checked LinkedIn

• validated your operational credibility

• compared your property against alternatives

• formed an opinion about your team

Without ever speaking to you.

I recently experienced this personally.

A trusted friend referred me to an insurance agency. Strong recommendation. Great relationship. Full confidence.

Before making the call, I ran the agency through ChatGPT. What surfaced online completely changed my perception. The digital footprint didn’t support the recommendation.

I never contacted them.

That’s not unique anymore. That’s standard buyer behavior.

And meeting planners are doing the exact same thing to hotels.

David says, “We’ll vet them on AI as much as we can.”

Think about what that means. Your website isn’t just talking to humans anymore.

It’s training the systems humans use to decide whether you’re credible.

LinkedIn Is Quietly Becoming Hospitality’s New SEO

Here’s something else to consider. Many hotel salespeople still treat LinkedIn like an optional social platform. As if it's "just for job hunting".

It isn’t. It’s now part of your property’s discoverability infrastructure.

Multiple studies are already showing LinkedIn becoming one of the most-cited sources inside AI-generated professional recommendations.

Meaning:

• your activity matters

• your expertise matters

• your visibility matters

• your consistency matters

Or your silence matters.

David says, “I honestly don’t understand hotels that are not on LinkedIn.”

Neither do I. Because if your sales team has no visible digital presence, planners interpret that absence as risk.

Let that one sink in!

The planner isn’t just evaluating the property anymore.

They’re evaluating:

• the responsiveness of the team

• the expertise of the salesperson

• the professionalism of the operation

• whether the relationship feels trustworthy before first contact

The internet is now the pre-site-visit.

Hospitality Has a Specificity Problem

Most hotel websites were built for a different era. A branding era. An inspiration era. A “luxury lifestyle photography and vague copy” era.

That approach collapses in an AI-filtered buying environment.

Because AI isn’t emotionally seduced by drone footage and adjectives.

It prioritizes specifics.

Door widths.
Internet capacity.
Floorplans.
Load-in logistics.
Ceiling heights.
Walk times.
Transportation details.
Meeting configurations.
Technical infrastructure.

The hotels publishing those details are becoming machine-readable.

The ones hiding behind generic copy are becoming invisible.

And here’s the scary part:

Most hotels don’t realize they’re invisible because they never see the opportunities they failed to enter.

No RFP arrives. No inquiry comes through. No salesperson knows they were filtered out upstream.

It’s a silent loss.

Speed Is the New Trust Signal

Amazon permanently broke buyer patience. Every industry now lives downstream from that expectation. Meeting planners included.

David talked openly about how clients expect fast turnaround on venue recommendations.

Not “we’ll get back to you in 48 hours.” They want a fast response.

AI is accelerating that expectation even further.

If planners can generate preliminary venue intelligence in two minutes, a hotel taking three days to answer basic operational questions feels broken.

This matters because responsiveness now shapes perceived competence.

Slow response times don’t just create inconvenience.

They create doubt. And doubt kills shortlist placement.

Your Team Is Now Part of the Product

This is where hospitality becomes deeply human again.

Because once AI narrows the field, trust determines who survives.

Planners are evaluating the people behind the property.

They’re checking:

• LinkedIn profiles

• thought leadership

• mutual connections

• online credibility

• industry participation

• consistency

They’re trying to answer one question: “If we sign this contract, can we trust these humans when things get hard?”

That’s the real evaluation happening beneath the surface. And the hotels winning aren’t necessarily the loudest. They’re the most believable.

The Properties Winning AI Search Aren’t Guessing

They’re publishing and doing so consistently.

They’re:

• answering operational questions publicly

• creating content planners actually need

• empowering sales teams to build visible expertise

• making venue details searchable

• reducing ambiguity

• increasing trust before outreach begins

Most importantly, they’re becoming machine-readable in a world increasingly driven by machine-assisted buying behavior.

That’s the game now.

And many hospitality teams are still playing by 2017 rules.

This Is Exactly Why We Built the WINS Method

Everything David described points back to the same issue:

Most hotel sales teams don’t have a system for becoming digitally visible, strategically credible, and AI-readable.

That’s exactly why we created The WINS Method™ at Lure Agency.

Because your website isn’t just a brochure anymore.

It’s either: training AI to shortlist your property or training AI to ignore it.

There’s no middle ground left.

If your hotel isn’t answering the questions planners are feeding into AI, you are already being filtered out.

Not because your property isn’t good.

Because your digital presence isn’t useful enough to survive the sort.

And the shortlist?

It’s already being built.