Overview Leaderboard Methodology
Industry Report

Part-Time Coding Bootcamps

Flexible evening and weekend programs that deliver software engineering and web development training over several months to accommodate working learners.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 274
Total responses: 1,398
Top Brand Overall?
Springboard
84/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
freeCodeCamp
85

Highest score on the LBA metric in this industry.

Authority Leader?
Springboard
80

Highest score on the Authority metric in this industry.

TOM Leader?
Springboard
95

Highest score on the TOM metric in this industry.

Springboard leads the Part-Time Coding Bootcamps category in AI responses

Springboard is the most consistently-surfaced brand when users ask AI assistants about Part-Time Coding Bootcamps, but not to the point of monopolising the conversation. General Assembly and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 35 Part-Time Coding Bootcamps 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
Springboard
springboard.com
 77
80
95
84
2
General Assembly
generalassemb.ly
 83
49
91
72
3
Thinkful
thinkful.com
 71
22
69
49
4
Nucamp
nucamp.co
 62
31
56
48
5
Flatiron School
flatironschool.com
 70
17
65
44
6
CareerFoundry
careerfoundry.com
 65
15
56
39
7
App Academy
appacademy.io
 69
14
42
36
8
Fullstack Academy
fullstackacademy.com
 68
26
26
36
9
Hack Reactor
hackreactor.com
 72
7
32
27
10
Codecademy
codecademy.com
 82
10
12
23
11
Le Wagon
lewagon.com
 79
8
14
22
12
freeCodeCamp
freecodecamp.org
 85
9
9
20
13
The Odin Project
theodinproject.com
 85
9
9
20
14
Noble Desktop
nobledesktop.com
 64
6
13
19
15
Coding Dojo
codingdojo.com
 58
6
14
18
16
BrainStation
brainstation.io
 70
7
7
17
17
Coursera
coursera.org
 71
7
7
17
18
Lighthouse Labs
lighthouselabs.ca
 72
7
7
17
19
Tech Elevator
techelevator.com
 61
6
9
17
20
Codesmith
codesmith.io
 63
6
6
16
21
Ironhack
ironhack.com
 65
6
7
16
22
Code Fellows
codefellows.org
 61
6
6
15
23
BloomTech
bloomtech.com
 58
6
6
14
24
Devmountain
devmountain.com
 56
6
6
14
25
TripleTen
tripleten.com
 57
6
6
14
26
Wild Code School
wildcodeschool.com
 53
5
5
13
27
Academy Xi
academyxi.com
 41
4
4
11
28
CodeOp
codeop.tech
 41
4
4
11
29
Coder Foundry
coderfoundry.com
 38
4
4
10
30
L
LearningFuze
learningfuze.com
 39
4
4
10
31
Sabio
sabio.la
 32
3
3
9
32
Skill Distillery
skilldistillery.com
 28
3
3
8
33
Actualize
actualize.co
 25
2
2
7
34
C
Constructor Academy
constructoracademy.com
 22
2
2
6
35
Boolean
boolean.careers
 7
1
1
2

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 274 shared Part-Time Coding Bootcamps 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 274 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 →