Overview Leaderboard Methodology
Industry Report

Zero Trust Network Access Providers

Cloud-delivered and on-premises solutions that enforce least-privilege access to applications and resources using continuous authentication, microsegmentation, and policy-based access controls.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Cloudflare
92/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
92

Highest score on the LBA metric.

Authority Leader?
Cloudflare
100

Highest score on the Authority metric.

TOM Leader?
Zscaler
100

Highest score on the TOM metric.

Cloudflare is the default answer in AI responses for Zero Trust Network Access Providers

Cloudflare and Zscaler together dominate AI responses for Zero Trust Network Access Providers. 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 34 Zero Trust Network Access Providers brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Cloudflare
cloudflare.com
 91
100
86
92
2
Zscaler
zscaler.com
 86
85
100
90
3
Palo Alto Networks
paloaltonetworks.com
 87
24
87
57
4
Microsoft
microsoft.com
 92
32
57
55
5
Netskope
netskope.com
 81
18
76
48
6
Twingate
twingate.com
 69
35
47
48
7
Cisco
cisco.com
 77
13
65
40
8
Akamai
akamai.com
 75
7
60
31
9
Okta
okta.com
 75
6
6
14
10
Tailscale
tailscale.com
 89
9
1
9
11
Perimeter 81
perimeter81.com
 77
1
4
7
12
Teleport
goteleport.com
 80
1
3
7
13
Appgate
appgate.com
 62
0
17
2
14
Check Point
checkpoint.com
 77
0
16
2
15
Citrix
citrix.com
 78
0
4
2
16
Fortinet
fortinet.com
 90
0
13
2
17
Cato Networks
catonetworks.com
 78
0
4
1
18
iboss
iboss.com
 67
0
2
1
19
NetFoundry
netfoundry.io
 55
0
4
1
20
NordLayer
nordlayer.com
 78
0
1
1
21
OpenZiti
openziti.io
 65
0
4
1
22
B
Banyan Security
banyansecurity.io
 45
0
0
0
23
CA Service Desk Manager
broadcom.com
 18
0
0
0
24
Cyolo
cyolo.io
 45
0
0
0
25
F5
f5.com
 66
0
0
0
26
GoodAccess
goodaccess.com
 44
0
0
0
27
HPE Aruba Networking
arubanetworks.com
 69
0
0
0
28
Ivanti Service Manager
ivanti.com
 32
0
0
0
29
Menlo Security
menlosecurity.com
 68
0
0
0
30
OpenVPN
openvpn.net
 75
0
0
0
31
Portnox
portnox.com
 54
0
0
0
32
SonicWall
sonicwall.com
 59
0
0
0
33
SSH Communications Security
ssh.com
 51
0
0
0
34
StrongDM
strongdm.com
 75
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Zero Trust Network Access Providers 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 269 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 →