Overview Leaderboard Methodology
Industry Report

XDR Solutions

Extended detection and response products that unify telemetry across endpoints, networks, cloud, and email to provide consolidated threat detection, investigation, and response.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
Microsoft
99/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
97

Highest score on the LBA metric in this industry.

Authority Leader?
Microsoft
100

Highest score on the Authority metric in this industry.

TOM Leader?
Microsoft
100

Highest score on the TOM metric in this industry.

Microsoft is the default answer in AI responses for XDR Solutions

When users ask ChatGPT, Claude, or Gemini about XDR Solutions, Microsoft is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. CrowdStrike 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 32 XDR Solutions 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
Microsoft
microsoft.com
 97
100
100
99
2
CrowdStrike
crowdstrike.com
 86
77
98
87
3
Palo Alto Networks
paloaltonetworks.com
 94
46
83
71
4
SentinelOne
sentinelone.com
 88
32
81
61
5
Sophos
sophos.com
 84
11
57
39
6
Trend Micro
trendmicro.com
 82
8
69
39
7
Cisco
cisco.com
 82
8
52
35
8
Fortinet
fortinet.com
 82
8
9
20
9
Check Point
checkpoint.com
 77
8
8
19
10
Elastic
elastic.co
 74
7
8
19
11
Trellix
trellix.com
 71
7
9
19
12
Kaspersky
kaspersky.com
 74
7
7
18
13
Rapid7
rapid7.com
 70
7
7
17
14
Secureworks
secureworks.com
 69
7
7
17
15
Splunk
splunk.com
 71
7
7
17
16
Wiz
wiz.io
 69
7
7
17
17
Securonix
securonix.com
 65
7
7
16
18
Stellar Cyber
stellarcyber.ai
 65
6
6
16
19
WithSecure
withsecure.com
 63
6
6
16
20
Acronis
acronis.com
 61
6
6
15
21
Cybereason
cybereason.com
 60
6
6
15
22
Barracuda
barracuda.com
 57
6
6
14
23
Cynet
cynet.com
 58
6
6
14
24
ESET Secure Authentication
eset.com
 55
6
6
14
25
Exabeam
exabeam.com
 57
6
6
14
26
Heimdal
heimdalsecurity.com
 55
6
6
14
27
Sangfor
sangfor.com
 45
5
5
12
28
Seqrite
seqrite.com
 48
5
5
12
29
Fidelis
fidelissecurity.com
 34
3
3
9
30
WatchGuard AuthPoint
watchguard.com
 36
4
4
9
31
Bitdefender Anti-Tracker
bitdefender.com
 27
3
3
7
32
Tanzu
vmware.com
 11
1
1
4

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared XDR Solutions 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 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 →