Overview Leaderboard Methodology
Industry Report

Feature Flag Services

Services that enable progressive feature rollout, A/B testing, and runtime toggling of application functionality for teams.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
LaunchDarkly
96/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
LaunchDarkly
89

Highest score on the LBA metric.

Authority Leader?
LaunchDarkly
100

Highest score on the Authority metric.

TOM Leader?
LaunchDarkly
100

Highest score on the TOM metric.

LaunchDarkly is the default answer in AI responses for Feature Flag Services

When users ask ChatGPT, Claude, or Gemini about Feature Flag Services, LaunchDarkly is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. ConfigCat 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 Feature Flag 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
LaunchDarkly
launchdarkly.com
 89
100
100
96
2
ConfigCat
configcat.com
 70
62
86
72
3
Unleash
getunleash.io
 76
55
82
70
4
Flagsmith
flagsmith.com
 77
51
75
66
5
Split
split.io
 73
33
90
60
6
Statsig
statsig.com
 73
22
32
37
7
Optimizely
optimizely.com
 80
7
23
23
8
GrowthBook
growthbook.io
 74
1
4
5
9
CloudBees
cloudbees.com
 58
0
18
2
10
Harness
harness.io
 78
0
7
2
11
PostHog
posthog.com
 77
0
5
2
12
AB Tasty
abtasty.com
 59
0
1
1
13
Airship
airship.com
 23
0
0
0
14
Amplitude
amplitude.com
 56
0
0
0
15
Apptimize
apptimize.com
 59
0
0
0
16
Bucketeer
bucketeer.io
 4
0
0
0
17
Bullet Train
bullettrain.co
 40
0
0
0
18
DevCycle
devcycle.com
 53
0
0
0
19
Eppo
eppo.io
 49
0
0
0
20
FeatBit
featbit.co
 12
0
0
0
21
Flagship
flagship.io
 7
0
1
0
22
Flipt
flipt.io
 35
0
0
0
23
GitHub
github.com
 53
0
0
0
24
GO Feature Flag
gofeatureflag.org
 35
0
0
0
25
Hypertune
hypertune.com
 11
0
0
0
26
Kameleoon
kameleoon.com
 50
0
0
0
27
Leanplum
leanplum.com
 46
0
0
0
28
Prefab
prefab.cloud
 26
0
0
0
29
Qonversion
qonversion.io
 32
0
0
0
30
T
Taplytics
taplytics.com
 53
0
0
0
31
Tggl
tggl.io
 25
0
0
0
32
VWO
vwo.com
 71
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Feature Flag 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 →