Overview Leaderboard Methodology
Industry Report

Sales Tax Automation

Cloud platforms that calculate, collect, and remit sales and VAT taxes across jurisdictions, integrating with e-commerce and accounting systems.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Avalara
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Avalara
79

Highest score on the LBA metric in this industry.

Authority Leader?
Avalara
91

Highest score on the Authority metric in this industry.

TOM Leader?
Avalara
100

Highest score on the TOM metric in this industry.

Avalara is the default answer in AI responses for Sales Tax Automation

Avalara and TaxJar together dominate AI responses for Sales Tax Automation. 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 Sales Tax Automation 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
Avalara
avalara.com
 79
91
100
90
2
TaxJar
taxjar.com
 79
87
94
86
3
Vertex
vertexinc.com
 72
58
89
72
4
Sovos
sovos.com
 78
32
81
59
5
Stripe Billing
stripe.com
 78
36
72
59
6
Anrok
anrok.com
 62
9
41
30
7
Quaderno
quaderno.io
 59
6
22
22
8
Shopify Tax
shopify.com
 68
8
11
20
9
Paddle
paddle.com
 70
7
7
17
10
WooCommerce
woocommerce.com
 70
7
7
17
11
CCH SureTax
suretax.com
 63
6
7
16
12
TaxCloud
taxcloud.com
 53
9
5
16
13
Taxamo
taxamo.com
 54
5
5
14
14
Fonoa
fonoa.com
 50
5
5
13
15
Numeral
numeralhq.com
 34
3
12
13
16
Taxdoo
taxdoo.com
 51
5
5
13
17
UltraTax CS
thomsonreuters.com
 47
5
5
12
18
SimplyVAT
simplyvat.com
 45
4
4
11
19
Zamp
zamp.com
 25
3
12
11
20
Amazon
amazon.com
 35
3
5
10
21
D
DAVO
davo.com
 39
4
4
10
22
TaxConnex
taxconnex.com
 39
4
4
10
23
Kintsugi
trykintsugi.com
 30
3
3
8
24
Octobat
octobat.com
 29
3
3
8
25
Taxually
taxually.com
 31
3
3
8
26
hellotax
hellotax.com
 27
3
3
7
27
LOVAT
lovat.com
 15
1
8
7
28
CereTax
ceretax.com
 21
2
2
6
29
Etsy
etsy.com
 16
2
2
5
30
VATstack
vatstack.com
 17
2
2
5
31
EAS Project
easproject.com
 6
1
1
2
32
Yonda
yondatax.com
 2
0
0
1
33
Marosa
marosavat.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Sales Tax Automation 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 →