Overview Leaderboard Methodology
Industry Report

Metasearch Sites

Comparison platforms that aggregate pricing and availability from OTAs and suppliers to help users compare and book flights, hotels, and packages.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 299
Total responses: 1,540
Top Brand Overall?
Google
98/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
94

Highest score on the LBA metric in this industry.

Authority Leader?
Google
100

Highest score on the Authority metric in this industry.

TOM Leader?
Google
100

Highest score on the TOM metric in this industry.

Google is the default answer in AI responses for Metasearch Sites

When users ask ChatGPT, Claude, or Gemini about Metasearch Sites, Google is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. KAYAK is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 39 Metasearch Sites brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Google
google.com
 94
100
100
98
2
KAYAK
kayak.com
 76
81
93
83
3
Skyscanner
skyscanner.com
 83
66
82
77
4
momondo
momondo.com
 71
34
74
56
5
trivago
trivago.com
 65
16
51
39
6
Expedia
expedia.com
 76
15
30
33
7
Hopper
hopper.com
 72
9
27
28
8
HotelsCombined
hotelscombined.com
 62
6
40
27
9
Booking.com
booking.com
 82
11
16
26
10
Trip.com
trip.com
 72
7
17
22
11
Tripadvisor
tripadvisor.com
 74
7
16
22
12
Cheapflights
cheapflights.com
 69
7
13
20
13
ITA Matrix
itasoftware.com
 81
8
8
20
14
Hotels.com
hotels.com
 81
8
8
19
15
Priceline
priceline.com
 77
8
8
19
16
Rome2Rio
rome2rio.com
 73
7
7
18
17
ixigo
ixigo.com
 71
7
7
17
18
Skyscanner Hotels
skyscanner.net
 66
7
7
17
19
Aviasales
aviasales.com
 67
7
7
16
20
Omio
omio.com
 63
6
6
16
21
TravelSupermarket
travelsupermarket.com
 66
7
7
16
22
Kiwi.com
kiwi.com
 61
6
6
15
23
Qunar
qunar.com
 61
6
6
15
24
Skiplagged
skiplagged.com
 54
5
5
14
25
Wego
wego.com
 58
6
6
14
26
Dohop
dohop.com
 53
5
5
13
27
FareCompare
farecompare.com
 47
5
5
12
28
F
Fly.com
fly.com
 47
5
5
12
29
Liligo
liligo.com
 48
5
5
12
30
Jetcost
jetcost.com
 44
4
4
11
31
Jetradar
jetradar.com
 39
4
4
10
32
Viajala
viajala.com
 38
4
4
10
33
checkfelix
checkfelix.com
 33
3
3
9
34
H
Hotellook
hotellook.com
 34
3
3
9
35
WayAway
wayaway.io
 28
3
3
8
36
BookingBuddy
bookingbuddy.com
 27
3
3
7
37
SWOODOO
swoodoo.com
 27
3
3
7
38
Trabber
trabber.com
 26
3
3
7
39
Mundi
mundi.com.br
 4
0
0
1

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 299 shared Metasearch Sites prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 299 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →