Overview Leaderboard Methodology
Industry Report

Managed Endpoint Security Services

Outsourced security offerings where providers manage, monitor, and respond to endpoint security events on behalf of organizations.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
CrowdStrike
92/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Sophos
91

Highest score on the LBA metric.

Authority Leader?
Microsoft
92

Highest score on the Authority metric.

TOM Leader?
CrowdStrike
100

Highest score on the TOM metric.

CrowdStrike is the default answer in AI responses for Managed Endpoint Security Services

CrowdStrike and Microsoft together dominate AI responses for Managed Endpoint Security Services. 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 33 Managed Endpoint Security Services 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
CrowdStrike
crowdstrike.com
 89
88
100
92
2
Microsoft
microsoft.com
 85
92
100
92
3
Sophos
sophos.com
 91
48
83
72
4
SentinelOne
sentinelone.com
 86
40
79
65
5
Arctic Wolf
arcticwolf.com
 73
11
45
33
6
Trend Micro
trendmicro.com
 82
3
46
23
7
Huntress
huntress.com
 83
10
7
18
8
Palo Alto Networks
paloaltonetworks.com
 87
1
48
14
9
eSentire
esentire.com
 63
0
7
2
10
Rapid7
rapid7.com
 65
0
23
2
11
Secureworks
secureworks.com
 68
0
21
2
12
Blackpoint Cyber
blackpointcyber.com
 53
0
1
1
13
Expel
expel.com
 61
0
2
1
14
Red Canary
redcanary.com
 75
0
2
1
15
Adlumin
adlumin.com
 47
0
0
0
16
Alert Logic
alertlogic.com
 50
0
0
0
17
Armor
armor.com
 36
0
0
0
18
Avertium
avertium.com
 29
0
0
0
19
Binary Defense
binarydefense.com
 59
0
0
0
20
Critical Start
criticalstart.com
 52
0
0
0
21
Cybereason
cybereason.com
 64
0
0
0
22
Deepwatch
deepwatch.com
 42
0
0
0
23
Field Effect
fieldeffect.com
 42
0
0
0
24
Kroll
kroll.com
 40
0
0
0
25
Netsurion
netsurion.com
 37
0
0
0
26
Open Systems
open-systems.com
 43
0
0
0
27
Pondurance
pondurance.com
 37
0
0
0
28
Proficio
proficio.com
 25
0
0
0
29
ReliaQuest
reliaquest.com
 62
0
0
0
30
S
Skout Cybersecurity
skoutcybersecurity.com
 29
0
0
0
31
Trustwave
trustwave.com
 50
0
0
0
32
UnderDefense
underdefense.com
 9
0
0
0
33
WithSecure
withsecure.com
 61
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Managed Endpoint Security Services 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 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 →