SiteMinder Changing Traveller Report 2026: Hotel Discovery Is Fragmenting

SiteMinder's Changing Traveller Report 2026 offers an important distribution signal: 26% of surveyed travelers say they will start hotel research on an OTA, compared with 21% on a search engine. Word of mouth rises to 14%, while AI reaches 4% as a starting point.

This should not be simplified into “Google lost and OTAs won.” The better interpretation is:

hotel discovery is becoming more fragmented and multi-channel.

Discovery channel is not booking channel

One of the useful implications in SiteMinder's work is that travelers can begin research on an OTA and later book direct with the hotel.

That separates two roles:

• discovery/inspiration channel,
• transaction/booking channel.

A last-click model focused only on the second can miss OTA research influence.

What it means for OTAs

OTA value is not limited to the final transaction. Property content, reviews, price context, inventory breadth, filters and maps can create decision confidence.

Product teams should therefore monitor upper-funnel quality metrics as seriously as booking conversion.

What it means for hotel direct

If travelers research on an OTA and later move to the hotel website, the direct channel has to do more than simply claim a lower price.

The booking engine must preserve comparable inventory, clear total price, cancellation terms, mobile UX and meaningful direct benefits.

Where metasearch fits

Metasearch acts as a current comparison layer between discovery and transaction.

For a traveler moving among OTAs, search engines, AI and direct channels, its value comes from providing current offer context.

That value disappears quickly if price or availability changes after the click.

AI discovery signal

AI is still a relatively small stated starting point in this report, but the direction matters.

An AI-driven path can look like:

AI answer → entity/detail page → availability search → booking provider.

Travel sites therefore need both machine-readable information and a transaction funnel that handles AI referrals well.

Attribution problem

A more useful multi-channel measurement model tracks first known touch, assisted touches, final provider click, booking attribution and direct return.

Session-level last click alone can lead to poor channel decisions.

Useful KPI model

Monitor discovery-source share, property-detail engagement, rate/provider interaction, booking-engine conversion, price/availability mismatch and assisted-booking share.

Methodology caution

The survey covers roughly 12,000 travelers across 14 countries and captures planned behavior and preferences. Actual channel share will vary by market, destination, segment and booking window.

Treat the findings as hypotheses to test against first-party analytics.

MetaSearch interpretation

The strongest message is not the headline that OTAs overtook search engines.

The deeper change is that discovery ownership and booking ownership are separating. Teams that understand that distinction can design attribution, content and direct-booking strategy far more effectively.

Population and attribution boundary

The report does not establish actual 2026 channel share; it measures respondents' intended research and booking behavior. The OTA-to-direct finding is especially useful for attribution hypotheses, but actual assisted-conversion share should be validated with first-party clickstream and booking data.