Overview Leaderboard Methodology
Industry Report

Enterprise CRM Platforms

Large-scale CRM platforms for enterprise sales, service and marketing teams.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
Salesforce
99/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
99

Highest score on the LBA metric in this industry.

Authority Leader?
Salesforce
100

Highest score on the Authority metric in this industry.

TOM Leader?
Salesforce
100

Highest score on the TOM metric in this industry.

Salesforce is the default answer in AI responses for Enterprise CRM Platforms

Salesforce and Microsoft together dominate AI responses for Enterprise CRM 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 30 Enterprise CRM 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
Salesforce
salesforce.com
 96
100
100
99
2
Microsoft
microsoft.com
 99
95
97
97
3
HubSpot
hubspot.com
 92
60
81
76
4
Oracle
oracle.com
 75
48
87
68
5
SAP
sap.com
 78
33
87
61
6
Zoho
zoho.com
 75
30
53
50
7
Zendesk
zendesk.com
 85
9
33
31
8
Pega
pega.com
 78
8
22
26
9
Freshworks
freshworks.com
 73
7
10
20
10
Pipedrive
pipedrive.com
 85
9
9
20
11
SugarCRM
sugarcrm.com
 69
7
13
20
12
Veeva CRM
veeva.com
 83
8
8
20
13
NetSuite CRM
netsuite.com
 79
8
8
19
14
Odoo CRM
odoo.com
 75
7
7
18
15
Copper
copper.com
 69
7
7
17
16
Creatio
creatio.com
 68
7
7
17
17
eGain
egain.com
 68
7
7
17
18
Insightly
insightly.com
 68
7
7
17
19
Kustomer
kustomer.com
 68
7
7
17
20
Sage CRM
sage.com
 63
6
6
16
21
Vtiger
vtiger.com
 66
7
7
16
22
Monday CRM
monday.com
 62
6
6
15
23
Apptivo
apptivo.com
 55
6
6
14
24
Nimble
nimble.com
 55
6
6
14
25
noCRM
nocrm.io
 55
6
6
14
26
SuperOffice
superoffice.com
 57
6
6
14
27
Capsule
capsulecrm.com
 52
5
5
13
28
CRMNEXT
crmnext.com
 46
5
5
12
29
Maximizer
maximizer.com
 49
5
5
12
30
Efficy
efficy.com
 42
4
4
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Enterprise CRM 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 245 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 →