Overview Leaderboard Methodology
Industry Report

Global Ride-Hailing Platforms

Large-scale, app-based companies that connect riders with drivers for on-demand transportation across multiple countries and major cities.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Uber
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Uber
82

Highest score on the LBA metric in this industry.

Authority Leader?
Uber
100

Highest score on the Authority metric in this industry.

TOM Leader?
Uber
100

Highest score on the TOM metric in this industry.

Uber is the default answer in AI responses for Global Ride-Hailing Platforms

When users ask ChatGPT, Claude, or Gemini about Global Ride-Hailing Platforms, Uber is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Lyft 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 33 Global Ride-Hailing Platforms 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
Uber
uber.com
 82
100
100
94
2
Lyft
lyft.com
 70
88
85
81
3
Bolt
bolt.eu
 62
34
85
57
4
Grab
grab.com
 74
23
85
53
5
DiDi
didiglobal.com
 63
12
78
41
6
O
Ola
olacabs.com
 67
10
65
37
7
Careem
careem.com
 78
8
54
35
8
Gojek
gojek.com
 76
8
39
30
9
FREE NOW
free-now.com
 65
7
33
26
10
inDrive
indrive.com
 59
6
30
24
11
Blacklane
blacklane.com
 71
7
7
17
12
Cabify
cabify.com
 67
7
7
17
13
Waymo
waymo.com
 71
7
7
17
14
Kakao T
kakaomobility.com
 65
7
7
16
15
BluSmart
blusmart.in
 60
6
6
15
16
Curb
gocurb.com
 44
12
4
15
17
F
FREENOW
freenow.com
 61
6
6
15
18
99
99app.com
 56
6
6
14
19
BiTaksi
bitaksi.com
 57
6
6
14
20
Heetch
heetch.com
 56
6
6
14
21
MOIA
moia.io
 55
5
5
14
22
Uklon
uklon.com.ua
 55
6
6
14
23
Via
ridewithvia.com
 54
5
5
14
24
Gett
gett.com
 53
5
5
13
25
Yango
yango.com
 52
5
5
13
26
Yassir
yassir.com
 52
5
5
13
27
Maxim
taximaxim.com
 44
4
4
11
28
Wingz
wingz.me
 42
4
4
11
29
LeCab
lecab.fr
 32
3
3
9
30
Ryde
rydesharing.com
 28
3
3
8
31
TADA
tada.global
 29
3
3
8
32
Arro
goarro.com
 0
0
0
0
33
be
be.co
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Global Ride-Hailing Platforms 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 263 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 →