Overview Leaderboard Methodology
Industry Report

API Management Suites

Comprehensive products combining gateway, developer portal, analytics, security, and lifecycle features to manage APIs at enterprise scale.

Brands tracked: 31
Brands analyzed: 31
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 251
Total responses: 1,260
Top Brand Overall?
Kong
89/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
97

Highest score on the LBA metric in this industry.

Authority Leader?
Kong
90

Highest score on the Authority metric in this industry.

TOM Leader?
Microsoft
88

Highest score on the TOM metric in this industry.

Kong is the default answer in AI responses for API Management Suites

Kong and Microsoft together dominate AI responses for API Management Suites. 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 31 API Management Suites 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
Kong
konghq.com
 91
90
86
89
2
Microsoft
microsoft.com
 97
59
88
80
3
Google
google.com
 90
61
78
76
4
Amazon
amazon.com
 81
46
75
66
5
MuleSoft
mulesoft.com
 85
33
84
62
6
IBM
ibm.com
 82
26
55
50
7
Tyk
tyk.io
 75
29
52
49
8
Postman
postman.com
 87
9
52
37
9
WSO2
wso2.com
 75
9
32
29
10
3scale
3scale.net
 74
7
14
22
11
Red Hat OpenShift
redhat.com
 84
8
8
20
12
Boomi
boomi.com
 73
7
9
19
13
Stoplight
stoplight.io
 78
8
8
19
14
Swagger
swagger.io
 81
8
8
19
15
Gravitee
gravitee.io
 70
8
7
18
16
Oracle
oracle.com
 73
7
7
18
17
Gloo Gateway
solo.io
 70
7
7
17
18
SAP
sap.com
 69
7
7
17
19
Axway
axway.com
 67
7
7
16
20
KrakenD
krakend.io
 67
7
7
16
21
webMethods
webmethods.io
 66
7
7
16
22
API7.ai
api7.ai
 62
6
6
15
23
DreamFactory
dreamfactory.com
 62
6
6
15
24
Mashery
mashery.com
 56
6
6
14
25
Sensedia
sensedia.com
 50
5
5
13
26
CA Service Desk Manager
broadcom.com
 48
5
5
12
27
Fiorano
fiorano.com
 48
5
5
12
28
Zuplo
zuplo.com
 46
5
5
12
29
Torry Harris
torryharris.com
 39
4
4
10
30
Helix TeamHub
perforce.com
 3
0
0
1
31
Nevatech
nevatech.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 251 shared API Management Suites 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 251 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 →