Overview Leaderboard Methodology
Industry Report

SIEM Platforms

Software solutions that collect, correlate, and analyze security event data from across an enterprise to detect and investigate threats in real time.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Microsoft
97/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
93

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 SIEM Platforms

Microsoft and Splunk together dominate AI responses for SIEM Platforms. 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 SIEM Platforms 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
 93
100
100
97
2
Splunk
splunk.com
 84
82
98
88
3
Elastic
elastic.co
 87
42
79
66
4
IBM
ibm.com
 83
38
89
66
5
Google
google.com
 80
32
82
60
6
Exabeam
exabeam.com
 70
11
46
34
7
LogRhythm
logrhythm.com
 71
7
51
32
8
Sumo Logic
sumologic.com
 72
9
24
27
9
Rapid7
rapid7.com
 79
8
23
26
10
Palo Alto Networks
paloaltonetworks.com
 93
9
10
23
11
CrowdStrike
crowdstrike.com
 88
9
9
21
12
Fortinet
fortinet.com
 82
8
8
20
13
Securonix
securonix.com
 74
7
10
20
14
AlienVault
att.com
 80
8
8
19
15
Devo
devo.com
 71
7
7
17
16
RSA NetWitness
netwitness.com
 68
7
7
17
17
Graylog
graylog.org
 67
7
7
16
18
Logz.io
logz.io
 64
6
6
16
19
Coralogix
coralogix.com
 62
6
6
15
20
SOC Prime
socprime.com
 62
6
6
15
21
Stellar Cyber
stellarcyber.ai
 60
6
6
15
22
Gurucul
gurucul.com
 56
6
6
14
23
LogPoint
logpoint.com
 55
6
6
14
24
Trellix
trellix.com
 54
5
5
14
25
Blumira
blumira.com
 48
5
5
12
26
ManageEngine ServiceDesk Plus
manageengine.com
 48
5
5
12
27
Hunters
hunters.security
 38
4
4
10
28
OpenText SMAX
opentext.com
 35
3
5
10
29
Panther
panther.com
 39
4
4
10
30
DNIF
dnif.it
 36
4
4
9
31
SolarWinds Web Help Desk
solarwinds.com
 32
3
3
9
32
SearchInform SIEM
searchinform.com
 31
3
3
8
33
P
Prelude
prelude.security
 24
2
2
7

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared SIEM Platforms 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 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 →