Overview Leaderboard Methodology
Industry Report

Centralized Crypto Exchanges

Online platforms that allow users to buy, sell, and trade cryptocurrencies via an order book or matching engine, custodying user assets on the platform.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
Kraken
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Kraken
87

Highest score on the LBA metric in this industry.

Authority Leader?
Coinbase
93

Highest score on the Authority metric in this industry.

TOM Leader?
Coinbase
99

Highest score on the TOM metric in this industry.

Kraken is the default answer in AI responses for Centralized Crypto Exchanges

Kraken and Coinbase together dominate AI responses for Centralized Crypto Exchanges. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 35 Centralized Crypto Exchanges 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
Kraken
kraken.com
 87
92
92
90
2
Coinbase
coinbase.com
 75
93
99
88
3
Binance
binance.com
 81
81
88
83
4
OKX
okx.com
 78
41
56
56
5
Bybit
bybit.com
 78
29
55
50
6
Gemini
gemini.com
 79
25
51
47
7
Crypto.com
crypto.com
 72
7
44
31
8
KuCoin
kucoin.com
 62
7
36
27
9
Gate.io
gate.io
 62
6
31
25
10
Bitget
bitget.com
 62
6
25
23
11
Bitstamp
bitstamp.net
 73
8
15
23
12
MEXC
mexc.com
 62
6
21
22
13
Robinhood
robinhood.com
 68
7
13
20
14
Uniswap
uniswap.org
 73
7
7
18
15
Binance.US
binance.us
 56
10
6
17
16
Bitfinex
bitfinex.com
 71
7
7
17
17
Upbit
upbit.com
 65
6
8
17
18
Coincheck
coincheck.com
 64
6
6
16
19
Bitso
bitso.com
 62
6
6
15
20
CEX.IO
cex.io
 62
6
6
15
21
HTX
htx.com
 50
5
9
15
22
Trezor
trezor.io
 58
6
7
15
23
Bithumb
bithumb.com
 58
6
6
14
24
BTC Markets
btcmarkets.net
 55
5
5
14
25
Swyftx
swyftx.com
 56
6
6
14
26
Independent Reserve
independentreserve.com
 52
5
5
13
27
Ledger
ledger.com
 48
5
7
13
28
Phemex
phemex.com
 50
5
5
13
29
WazirX
wazirx.com
 53
5
5
13
30
WhiteBIT
whitebit.com
 49
5
5
13
31
Coinsquare
coinsquare.com
 47
5
5
12
32
Bullish
bullish.com
 41
4
4
11
33
Coinone
coinone.co.kr
 43
4
4
11
34
LBank
lbank.com
 45
4
4
11
35
BTSE
btse.com
 35
4
4
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Centralized Crypto Exchanges 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 275 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 →