Overview Leaderboard Methodology
Industry Report

Office Chair Brands

Producers and sellers of office and task chairs, including ergonomic, executive, and mesh designs tailored for home offices and commercial workplaces.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Herman Miller
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Herman Miller
91

Highest score on the LBA metric in this industry.

Authority Leader?
Herman Miller
91

Highest score on the Authority metric in this industry.

TOM Leader?
Herman Miller
100

Highest score on the TOM metric in this industry.

Herman Miller is the default answer in AI responses for Office Chair Brands

Herman Miller and Steelcase together dominate AI responses for Office Chair Brands. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 33 Office Chair Brands 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
Herman Miller
hermanmiller.com
 91
91
100
94
2
Steelcase
steelcase.com
 81
83
97
87
3
Haworth
haworth.com
 82
35
78
61
4
Branch
branch.io
 73
45
65
60
5
Humanscale
humanscale.com
 82
12
77
44
6
Secretlab
secretlab.co
 78
9
73
40
7
HON
hon.com
 69
14
32
33
8
Knoll
knoll.com
 90
9
23
28
9
La-Z-Boy
lazboy.com
 71
7
11
20
10
Autonomous
autonomous.ai
 54
5
18
19
11
Branch Ergonomic Chair
branchfurniture.com
 70
10
7
19
12
Ergohuman
ergohuman.com
 71
7
10
19
13
Okamura
okamura.com
 78
8
8
19
14
Wilkhahn
wilkhahn.com
 77
8
8
19
15
Kinnarps
kinnarps.com
 66
7
7
16
16
Teknion
teknion.com
 65
7
7
16
17
Allsteel
allsteeloffice.com
 60
6
6
15
18
SIDIZ
sidiz.com
 61
6
6
15
19
Sihoo
sihoooffice.com
 49
5
10
15
20
SitOnIt Seating
sitonit.net
 60
6
6
15
21
X-Chair
xchair.com
 63
6
6
15
22
FlexiSpot
flexispot.com
 51
5
5
13
23
Global Furniture Group
globalfurnituregroup.com
 51
5
5
13
24
Nouhaus
nouhaus.com
 49
5
5
13
25
9to5 Seating
9to5seating.com
 43
4
4
11
26
HBADA
hbada.com
 37
6
4
11
27
N
Neutral Posture
neutralposture.com
 45
4
4
11
28
O
OFM
ofminc.com
 41
4
4
11
29
Allseating
allseating.com
 38
4
4
10
30
BodyBilt
bodybilt.com
 39
4
4
10
31
Eurotech Seating
eurotechseating.com
 24
2
2
7
32
Laura Davidson
lauradavidsondirect.com
 25
3
3
7
33
RFM Seating
rfmseating.com
 25
3
3
7

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Office Chair Brands 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 →