Overview Leaderboard Methodology
Industry Report

Video Doorbells

Doorbell devices with built-in cameras and two-way audio that enable live visitor video, motion alerts, and remote answering.

Brands tracked: 31
Brands analyzed: 31
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 247
Total responses: 1,252
Top Brand Overall?
Ring
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Ring
88

Highest score on the LBA metric in this industry.

Authority Leader?
Ring
77

Highest score on the Authority metric in this industry.

TOM Leader?
Ring
100

Highest score on the TOM metric in this industry.

Ring is the default answer in AI responses for Video Doorbells

When users ask ChatGPT, Claude, or Gemini about Video Doorbells, Ring is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Google 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 31 Video Doorbells 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
Ring
ring.com
 88
77
100
88
2
Google
google.com
 84
51
100
76
3
Arlo
arlo.com
 75
33
87
60
4
Aqara
aqara.com
 66
24
62
47
5
Blink
joinblink.com
 64
15
24
30
6
eufy Security
eufy.com
 76
9
13
23
7
Tapo
tp-link.com
 61
24
6
23
8
Reolink
reolink.com
 65
13
6
19
9
UniFi
ui.com
 73
7
7
18
10
DoorBird
doorbird.com
 70
7
7
17
11
Logitech
logitech.com
 48
5
17
17
12
Lorex
lorex.com
 65
7
8
17
13
SimpliSafe
simplisafe.com
 69
7
7
17
14
Wyze
wyze.com
 54
10
7
17
15
Vivint
vivint.com
 63
6
6
16
16
ADT
adt.com
 61
6
6
15
17
Akuvox
akuvox.com
 60
6
6
15
18
Netatmo
netatmo.com
 61
6
6
15
19
EZVIZ
ezviz.com
 57
6
6
14
20
Kasa
kasasmart.com
 55
5
5
14
21
Amcrest
amcrest.com
 51
5
5
13
22
SkyBell
skybell.com
 50
5
5
13
23
Swann
swann.com
 48
5
5
12
24
Imou
imoulife.com
 43
4
4
11
25
R
RemoBell
remobell.com
 41
4
4
11
26
Zmodo
zmodo.com
 41
4
4
11
27
Aosu
aosulife.com
 36
4
4
9
28
Kangaroo
heykangaroo.com
 31
3
3
8
29
T
Toucan
toucan.io
 26
3
3
7
30
L
LaView
laview.com
 23
2
2
6
31
Robin
robin.nl
 21
2
2
6

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 247 shared Video Doorbells 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 247 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 →