Overview Leaderboard Methodology
Industry Report

Podcast Advertising Networks

Companies that connect podcasters with advertisers, manage ad insertion, campaign targeting, and revenue sharing for podcast inventory.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,314
Top Brand Overall?
Acast
87/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Spotify
79

Highest score on the LBA metric in this industry.

Authority Leader?
Acast
88

Highest score on the Authority metric in this industry.

TOM Leader?
Acast
100

Highest score on the TOM metric in this industry.

Acast is the default answer in AI responses for Podcast Advertising Networks

When users ask ChatGPT, Claude, or Gemini about Podcast Advertising Networks, Acast is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Spotify 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 33 Podcast Advertising Networks 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
Acast
acast.com
 74
88
100
87
2
Spotify
spotify.com
 79
65
85
76
3
Libsyn
libsyn.com
 55
41
74
55
4
AdvertiseCast
advertisecast.com
 50
38
72
52
5
Megaphone
megaphone.com.au
 73
22
60
46
6
Podcorn
podcorn.com
 48
13
56
34
7
Gumball
gumball.fm
 34
16
61
33
8
AdsWizz
adswizz.com
 77
8
22
25
9
SXM Media
sxmmedia.com
 57
6
36
25
10
iHeartRadio
iheart.com
 74
7
15
22
11
Podbean
podbean.com
 71
7
13
21
12
Triton Digital
tritondigital.com
 70
7
16
21
13
Audioboom
audioboom.com
 62
6
17
20
14
ART19
art19.com
 63
6
13
19
15
Spreaker
spreaker.com
 55
5
18
19
16
Oxford Road
oxfordroad.com
 62
6
9
17
17
Buzzsprout
buzzsprout.com
 67
7
7
16
18
SiriusXM Podcast Network
siriusxmmedia.com
 59
6
7
15
19
Blubrry
blubrry.com
 56
6
6
14
20
M
Midroll
midroll.com
 55
6
6
14
21
RedCircle
redcircle.com
 55
5
6
14
22
PodcastOne
podcastone.com
 53
5
5
13
23
Westwood One Podcast Network
westwoodone.com
 49
5
5
12
24
AdLarge
adlarge.com
 43
4
4
11
25
Omny Studio
omnystudio.com
 45
4
4
11
26
Ausha
ausha.co
 38
4
4
10
27
Kast Media
kastmedia.com
 28
3
3
8
28
Podigee
podigee.com
 24
2
2
7
29
True Native Media
truenativemedia.com
 25
3
3
7
30
Backtracks
backtracks.fm
 16
2
2
5
31
Authentic
authenticshows.com
 13
1
1
4
32
J
Julep
julepmedia.com
 9
1
1
3
33
Podscribe
podscribe.com
 0
0
12
3

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Podcast Advertising Networks 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 →