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Case Study · OTA Review Scores

From Good to Great

How an AI Concierge Raised OTA Review Scores Across Three Hotels

Three California hotels. Two OTA platforms. One AI — delivered entirely by SMS.

+0.4 pt
Peak OTA score improvement
Best single-platform result
3 of 3
Hotels improved on both OTA platforms
Booking.com & Expedia
3
Milestones
Rating upgrades or 8.0 threshold crossed
The Row Hotel BW Signature Collection San Jose, CA
Leland Hotel Independent / BW Affiliate Palo Alto, CA
SureStay Hotel Best Western SureStay Chula Vista, CA
The Challenge

A Fraction of a Point Changes Everything

On Booking.com and Expedia, the difference between a 7.8 and an 8.2 isn't just bragging rights. It determines whether a property qualifies for "Top Rated" filters, where it sits in search rankings, and ultimately how many travellers see it. Yet most hotels have no systematic way to shape the guest experience in real time.

Issues go unresolved. Special requests fall through the cracks. And by the time a negative review appears online, the moment to make it right has passed. The three hotels in this pilot had solid reputations — and real room to grow.

The Solution

Alfred: An AI Concierge in Every Guest's Pocket

Alfred is an SMS-based AI concierge that engages every guest automatically — no app, no login, no friction. From the moment a reservation is confirmed to the moment a guest departs, Alfred maintains a personal line of communication on the hotel's behalf: capturing preferences before arrival, resolving issues in real time, generating ancillary revenue, and ensuring no guest is left without a response.

① Pre-Arrival
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② Check-In
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③ Mid-Stay
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur
④ Checkout
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The result: every guest feels looked after. Problems get fixed while they can still be fixed. And satisfied guests are prompted to share their experience on the platforms that drive bookings.

Alfred In Action

Five Moments That Move the Needle

The following are verbatim SMS exchanges from Alfred's operational logs at SureStay Hotel, Chula Vista — real conversations showing exactly how the AI handled situations that would otherwise have been missed entirely.

1

Accessibility — Needs Captured Before They Become Problems

Every mobility or medical need flagged before arrival gives staff time to prepare. A wrong room can ruin a trip.

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2

Catching Issues Before They Become Reviews

A guest who is heard while it still matters is far more likely to leave a positive review than one who simply walked away.

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3

Multilingual Support — Every Guest, in Their Own Language

Alfred automatically switches to a guest's preferred language. For many hotels, this is the difference between feeling welcome and feeling invisible.

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4

Revenue Upsells — Early Check-In with Seamless Payment

Alfred proactively offers early check-in to every arriving guest, coordinates with the manager, and sends a payment link — all by SMS.

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5

Checkout Recovery — Complaints Caught, Not Posted

When a guest signals dissatisfaction, Alfred routes them to management immediately — before they open a review platform.

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The Results

Scores Up. Across the Board.

Every hotel in the cohort improved on at least one OTA platform. Most improved on both. Three of the six measurements resulted in a rating band upgrade or a key visibility threshold being crossed — changes with direct, measurable impact on search rankings and booking conversion.

The Row Hotel · San Jose

San Jose · April 7 – October 21, 2025 · BW Signature Collection

Platform
Before
After
Change
Booking.com
8.0
8.2
+0.2
Expedia
8.2
8.4
+0.2

Improving at the 8.0+ score tier is harder than improving from a lower baseline — guests arriving with higher expectations are tougher to impress. Consistent +0.2 gains on both platforms simultaneously is a strong result at this level.

Leland Hotel · Palo Alto

Palo Alto · June 2025 – January 2026 · Independent / Mayfield Hotel

Platform
Before
After
Change
Expedia
7.8
8.2
+0.4 ★
Booking.com
7.8
7.9
+0.1

The +0.4 Expedia gain — the strongest single-platform result in the cohort — moved the Leland from 'Good' to 'Very Good'. ★ This rating band upgrade changes how the property appears in search filters, expanding the audience of travellers who will ever see the listing.

SureStay Hotel · Chula Vista

Chula Vista · November 2025 – January 2026 · Best Western SureStay

Platform
Before
After
Change
Expedia
7.8
8.0
+0.2 ✓
Booking.com
7.9
8.0
+0.1 ✓

Both platforms crossed 8.0 within two months of deployment. ✓ On Booking.com, 8.0 is a recognised visibility threshold — properties at or above this score become eligible for "Top Rated" positioning in search results, directly increasing booking exposure.

The Bottom Line

Guest Experience Is a Revenue Strategy

The five scenarios in this case study are not edge cases. They are representative of what happened, repeatedly, across this pilot. An elderly mother who needed a safe shower. A repeat guest whose accessibility request had been ignored twice before Alfred re-escalated it. A loyal guest who found roaches and needed to feel heard. A returning customer waiting three days for a deposit.

Alfred made sure none of them were left without an answer. And that, multiplied across every guest, every stay — is what moves OTA scores.

3 of 3 hotels
improved on Booking.com & Expedia
+0.4 pt
best single-platform score gain
3 milestones
rating band upgrades or 8.0 crossed
Confidential · AI Concierge Pilot Program · 2025–2026

The AI Concierge didn't just improve scores — it proved that systematic guest care, delivered at scale through SMS, is a measurable lever for OTA visibility, search ranking, and booking conversion.

One AI. Three hotels. Six platforms. Every score up. That's what Alfred delivers.

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