Overview Leaderboard Methodology
Industry Report

Managed Detection and Response Services

Outsourced security services that combine technology and human analysts to provide continuous monitoring, threat hunting, and incident response on behalf of organizations.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
CrowdStrike
85/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
87

Highest score on the LBA metric.

Authority Leader?
CrowdStrike
71

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 Detection and Response Services

CrowdStrike and Microsoft together dominate AI responses for Managed Detection and Response 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 32 Managed Detection and Response 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
 86
71
100
85
2
Microsoft
microsoft.com
 87
57
90
76
3
Sophos
sophos.com
 83
35
81
62
4
Arctic Wolf
arcticwolf.com
 76
34
83
60
5
SentinelOne
sentinelone.com
 82
21
29
37
6
Expel
expel.com
 73
10
56
35
7
Rapid7
rapid7.com
 75
9
64
35
8
Secureworks
secureworks.com
 71
7
54
30
9
Red Canary
redcanary.com
 81
3
30
19
10
Huntress
huntress.com
 76
7
7
16
11
Mandiant Managed Defense
mandiant.com
 86
0
34
3
12
eSentire
esentire.com
 63
0
18
2
13
Alert Logic
alertlogic.com
 68
0
1
1
14
Binary Defense
binarydefense.com
 60
0
4
1
15
Blackpoint Cyber
blackpointcyber.com
 58
0
3
1
16
BlueVoyant
bluevoyant.com
 59
0
1
1
17
Trustwave
trustwave.com
 66
0
4
1
18
Adlumin
adlumin.com
 52
0
0
0
19
Critical Start
criticalstart.com
 50
0
0
0
20
CyberMaxx
cybermaxx.com
 26
0
0
0
21
Deepwatch
deepwatch.com
 59
0
0
0
22
LMNTRIX
lmntrix.com
 0
0
0
0
23
Netenrich
netenrich.com
 48
0
0
0
24
Nuspire
nuspire.com
 33
0
0
0
25
Pondurance
pondurance.com
 32
0
0
0
26
Proficio
proficio.com
 33
0
0
0
27
ReliaQuest
reliaquest.com
 64
0
0
0
28
RocketCyber
rocketcyber.com
 33
0
0
0
29
S
SecureNation
securenation.com
 1
0
0
0
30
Securonix
securonix.com
 59
0
0
0
31
Todyl
todyl.com
 35
0
0
0
32
UnderDefense
underdefense.com
 17
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Managed Detection and Response 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 257 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 →