Overview Leaderboard Methodology
Industry Report

Tax Compliance & Research Platforms

Enterprise-grade software and research tools that provide tax law research, compliance workflows, audit support, and reporting for corporate tax teams.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Avalara
81/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Bloomberg Tax
80

Highest score on the LBA metric.

Authority Leader?
Avalara
74

Highest score on the Authority metric.

TOM Leader?
Vertex
97

Highest score on the TOM metric.

Avalara leads the Tax Compliance & Research Platforms category in AI responses

Avalara is the most consistently-surfaced brand when users ask AI assistants about Tax Compliance & Research Platforms, but not to the point of monopolising the conversation. Vertex and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 37 Tax Compliance & Research Platforms 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
Avalara
avalara.com
 78
74
94
81
2
Vertex
vertexinc.com
 69
64
97
75
3
Sovos
sovos.com
 71
41
64
57
4
TaxJar
taxjar.com
 72
28
37
42
5
SAP
sap.com
 71
7
49
29
6
Bloomberg Tax
bloombergindustry.com
 80
7
7
16
7
Oracle
oracle.com
 67
2
37
16
8
CCH Axcess Tax
wolterskluwer.com
 73
1
24
10
9
Corptax
corptax.com
 56
0
15
2
10
Drake Tax
drakesoftware.com
 70
0
11
2
11
Longview Tax
insightsoftware.com
 31
0
20
2
12
Wolters Kluwer CCH Tagetik
tagetik.com
 54
0
19
2
13
Xero
xero.com
 73
0
7
2
14
Anrok
anrok.com
 52
0
1
1
15
Pagero
pagero.com
 62
0
1
1
16
Ryan
ryan.com
 22
0
6
1
17
Tax Systems
taxsystems.com
 33
0
1
1
18
UltraTax CS
thomsonreuters.com
 69
0
5
1
19
Blue J
bluej.com
 47
0
0
0
20
ClearTax
cleartax.in
 76
0
0
0
21
EDICOM
edicomgroup.com
 55
0
0
0
22
Exactera
exactera.com
 32
0
0
0
23
Fonoa
fonoa.com
 61
0
0
0
24
hellotax
hellotax.com
 32
0
0
0
25
IBFD
ibfd.org
 56
0
0
0
26
Kintsugi
trykintsugi.com
 20
0
0
0
27
Loctax
loctax.com
 30
0
0
0
28
Masters India
mastersindia.co
 42
0
0
0
29
Numeral
numeralhq.com
 25
0
0
0
30
Orbitax
orbitax.com
 39
0
0
0
31
Quaderno
quaderno.io
 59
0
0
0
32
QuickBooks Live
intuit.com
 55
0
0
0
33
Stripe Billing
stripe.com
 67
0
0
0
34
Tax Analysts
taxanalysts.org
 39
0
0
0
35
Taxback International
taxbackinternational.com
 42
0
0
0
36
VAT IT
vatit.com
 42
0
0
0
37
VATBox
vatbox.com
 58
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Tax Compliance & Research Platforms 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 287 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 →