Overview Leaderboard Methodology
Industry Report

Privacy-Focused Browsers

Web browsers built to minimize tracking and fingerprinting, block ads and trackers by default, and preserve user privacy online.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 245
Total responses: 114
Top Brand Overall?
Brave
33/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Brave
0

Highest score on the LBA metric in this industry.

Authority Leader?
Brave
100

Highest score on the Authority metric in this industry.

TOM Leader?
Brave
100

Highest score on the TOM metric in this industry.

Privacy-Focused Browsers is an emerging or highly fragmented category

No brand in Privacy-Focused Browsers scored above 40 on overall AI visibility. That means AI assistants do not currently recommend specific brands for this category with any consistency. Either the category is too new or too regional for the models to have converged on a default set of answers, or the queries users ask don't lend themselves to brand-specific responses.

Brand Leaderboard All 30 Privacy-Focused Browsers 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
Brave
brave.com
 0
100
100
33
2
Tor Browser
torproject.org
 0
42
97
24
3
Mullvad
mullvad.net
 0
30
65
18
4
DuckDuckGo
duckduckgo.com
 0
33
18
12
5
LibreWolf
librewolf.net
 0
11
38
10
6
Firefox Focus
mozilla.org
 0
25
0
4
7
Cromite
cromite.org
 0
2
0
1
8
Adblock Browser
adblockbrowser.org
 0
0
0
0
9
Aloha Browser
alohabrowser.com
 0
0
0
0
10
Avast Secure Browser
avast.com
 0
0
0
0
11
AVG Secure Browser
avg.com
 0
0
0
0
12
BlackBerry Privacy Browser
blackberry.com
 0
0
0
0
13
Bromite
bromite.org
 0
0
0
0
14
Cliqz
cliqz.com
 0
0
0
0
15
Comodo Dragon
comodo.com
 0
0
0
0
16
Decentr Browser
decentr.net
 0
0
0
0
17
Epic Privacy Browser
epicbrowser.com
 0
0
0
0
18
Ghostery Private Browser
ghostery.com
 0
0
0
0
19
GNU IceCat
gnu.org
 0
0
0
0
20
InBrowser
inbrowserapp.com
 0
0
0
0
21
Iridium Browser
iridiumbrowser.de
 0
0
0
0
22
Min
minbrowser.org
 0
0
0
0
23
Orion
kagi.com
 0
0
0
0
24
SnowHaze
snowhaze.com
 0
0
0
0
25
SRWare Iron
srware.net
 0
0
0
0
26
Tempest
tempest.com
 0
0
0
0
27
Tenta
tenta.com
 0
0
0
0
28
UR Browser
urbrowser.com
 0
0
0
0
29
Vivaldi
vivaldi.com
 0
0
2
0
30
Waterfox
waterfox.net
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Privacy-Focused Browsers 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 245 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 →