Overview Leaderboard Methodology
Industry Report

Ad Networks

Companies that operate large-scale programmatic marketplaces connecting publishers and advertisers to buy and sell display, video, and native ad inventory.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Google
92/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
93

Highest score on the LBA metric.

Authority Leader?
Google
95

Highest score on the Authority metric.

TOM Leader?
Google
87

Highest score on the TOM metric.

Google is the default answer in AI responses for Ad Networks

When users ask ChatGPT, Claude, or Gemini about Ad Networks, Google is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Mediavine 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 38 Ad Networks 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
Google
google.com
 93
95
87
92
2
Mediavine
mediavine.com
 74
51
41
54
3
Ezoic
ezoic.com
 68
48
45
53
4
Raptive
raptive.com
 73
46
44
53
5
Media.net
media.net
 67
11
37
30
6
Monumetric
monumetric.com
 46
16
27
28
7
PubMatic
pubmatic.com
 76
4
29
21
8
Magnite
magnite.com
 68
4
27
19
9
PropellerAds
propellerads.com
 70
5
11
16
10
Amazon
amazon.com
 81
1
49
15
11
OpenX
openx.com
 65
2
15
13
12
Index Exchange
indexexchange.com
 70
1
16
12
13
Sovrn
sovrn.com
 63
0
16
7
14
Criteo
criteo.com
 80
0
19
3
15
Outbrain
outbrain.com
 65
0
47
3
16
Taboola
taboola.com
 71
0
54
3
17
The Trade Desk
thetradedesk.com
 80
0
20
3
18
AppLovin
applovin.com
 68
0
9
2
19
MGID
mgid.com
 61
0
24
2
20
Revcontent
revcontent.com
 58
0
26
2
21
Sharethrough
sharethrough.com
 57
0
13
2
22
TripleLift
triplelift.com
 70
0
14
2
23
Unity Ads
unity.com
 68
0
7
2
24
AdRoll
adroll.com
 72
0
0
1
25
Adsterra
adsterra.com
 58
0
3
1
26
InMobi
inmobi.com
 65
0
4
1
27
ironSource
ironsrc.com
 70
0
4
1
28
Setupad
setupad.com
 38
0
3
1
29
33Across
33across.com
 42
0
0
0
30
BidSwitch
bidswitch.com
 58
0
0
0
31
Chartboost
chartboost.com
 66
0
0
0
32
Digital Turbine
digitalturbine.com
 48
0
0
0
33
Equativ
equativ.com
 66
0
0
0
34
GumGum
gumgum.com
 74
0
0
0
35
Mintegral
mintegral.com
 62
0
0
0
36
Smaato
smaato.com
 61
0
0
0
37
Undertone
undertone.com
 45
0
0
0
38
Verve Group
verve.com
 38
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Ad 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
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 293 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 →