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See your score and where you stand.
- Your public score
- How you compare on Google versus AI
- How we measure it
The United States index
Travelers now ask AI assistants where to stay. Daybook is built to ask those same traveler questions on a recurring edition and record which hotels get named — market by market across the United States. 42 hotels in preview across 1 city and 1 state.
Preview index · First measured editions in preparation

Why this index exists
A hotel can rank on Google's first page and still disappear when a traveler asks an assistant where to stay. Search ranking and AI recommendation are two different records — this one tracks the second.
Is one of these hotels yours?
Rankings are never for sale · We never take a commission on your bookings · No sales call
Ranked across every market we publish. Scored out of 100 for how often the AI assistants we measure name the hotel when travelers ask where to stay.
10 hotels · 1 city · 1 state
Preview rankings until measured market editions are published.
88/100
▲1#3
15.6%
-2
284/100
▲3#4
12.9%
-2
380/100
#7
10.2%
-4
474/100
▲2—
7.8%
—
570/100
▲4—
6.9%
—
658/100
▼4#6
3.4%
0
752/100
▼2#5
2.6%
+2
847/100
▼1#2
2.0%
+6
944/100
▲1#1
1.7%
+8
1036/100
▼3#8
0.9%
+2
The national index is built market by market. Open a city or neighbourhood to see its complete ranking.
Start with 14 days free. No card needed, no sales call, and you can cancel yourself in one click.
Rankings are never for sale · We never take a commission on your bookings — ever
$0
forever
See your score and where you stand.
$250
per month
One hotel. Watch it, compare it, fix it.
$500
per month
Up to five hotels, side by side.
We count how often AI assistants name your hotel when travelers ask where to stay. Nothing else moves your position.
You cannot buy a place
No hotel can pay for a higher score or an extra mention. There is no paid tier of the ranking.
We never take a commission
Any traveler we send you goes direct to your own booking page, free. We never tax your bookings — ever.
Everything is published
The questions we ask, how we weight them, and how often we ask are all shown below.
Where should I stay?
Open recommendation questions — the most common way travelers ask.
For example: “best boutique hotel in west hollywood”
Which of these is better?
Head-to-head comparisons between two hotels.
For example: “compare the charlie and palihouse”
Plan my trip
Multi-day trips, anniversaries and special occasions.
For example: “3 days in la for an anniversary, where to stay”
I need something specific
Rooftop pools, pet-friendly rooms, and other must-haves.
For example: “west hollywood hotel with a rooftop pool”
Step 1
We write the questions
A fixed set of real traveler questions per area, frozen for the edition and identical for every hotel. No hotel sees them in advance.
Step 2
We ask the assistants
Every question goes to each AI assistant on the published roster for that edition, in fresh sessions with no personal history. The exact assistants, models and number of answers are recorded with the edition.
Step 3
We record who was named
We check each answer for your hotel's name and its known variations. Anything uncertain is reviewed by a person, not counted automatically.
Step 4
We publish the record
Each measured edition is published with its own record: the models asked, the answers received, and what was credited. Your score history builds edition by edition.
Fixed
Question set per area
Frozen before measurement, identical for every hotel.
Frozen
Traveler questions per area
The same questions for every hotel.
0%
Commission on your bookings
Travelers go direct to you, free.
Recorded
Assistants we check
Published with each edition, never assumed.
Edition status
First measured editions are in preparation for this market.
Any figures shown before then are preview context, not measured results. The AI models asked, the traveler questions, and the answer coverage are disclosed with each measured edition — never assumed in advance.
Your hotel is already listed.
Claim it to see which questions you are missing from, and what to fix first.